In this article, we explore three key areas influenced by this year’s ADA:

• Emerging trends shaping app development and user expectations
• Practical tips developers can learn from award-winning apps
• Behind-the-scenes stories from standout winners like iA Writer, Moises, and CapWords

How the Apple Design Awards set trends

The ADA isn’t just recognition—it’s a bellwether for where apps are headed. Here’s how 2025 winners are shaping the future:

Innovation as a Baseline

From spatial computing to AI-driven features, apps like Moises and Pawz show that users now expect innovation. Developers who go beyond the obvious earn attention—and loyalty.

Accessibility Front and Center

Multiple 2025 winners highlight inclusive design. It’s no longer optional; it’s a product-defining strength. Apps that adapt to you will win out over those that force users to adapt to them.

Seamless Cross-Device Experiences

Apps like ia Writer and Lumy demonstrate that users expect continuity across iPhone, iPad, Mac, and Vision Pro. Syncing, layout adaptation, and performance must feel native on every screen.

A New Standard for Immersion

With eye tracking, spatial audio, and haptic feedback, immersive UX is becoming the norm. Developers must now think beyond just screens—toward experiences that respond, adapt, and engage.

Practical tips for developers inspired by ADA winners

Winning an Apple Design Award is no small feat. The 2025 winners demonstrate a variety of best practices that developers can learn from to elevate their own apps:

1. Prioritize User-Centered Design

Apps like CapWords and Lumy shine because they solve real user problems with elegant simplicity. Focus on understanding your users’ needs deeply and design interfaces that feel intuitive and natural. Avoid clutter and unnecessary complexity.

2. Leverage Apple’s Latest Technologies

Many winners harness cutting-edge Apple frameworks and hardware features, such as SwiftUI for fluid interfaces, Vision Pro for spatial computing, and advanced machine learning APIs for AI-driven features. Staying current with Apple’s ecosystem enables developers to create more immersive and powerful experiences.

3. Emphasize Accessibility and Inclusivity

Apps like Speechify and Train Fitness highlight the importance of making apps accessible to all users, including those with disabilities. Incorporate VoiceOver support, dynamic type, and adaptable UI elements to broaden your app’s reach and impact.

4. Deliver Delight Through Interaction and Visuals

Games like Balatro and creative apps like Feather: Draw in 3D demonstrate how thoughtful animations, haptics, and sound design can create emotional connections with users. Invest in polish and responsiveness to make your app feel alive.

5. Optimize for Performance and Responsiveness

Smooth performance is a hallmark of ADA winners. Whether it’s real-time audio processing in Moises or instant translation in CapWords, users expect apps to be fast and reliable. Profile your app carefully and optimize critical paths.

Behind the scenes: the making of ADA-winning apps

To understand what sets ADA winners apart, let’s take a closer look at three standout apps and how they were made:

iA Writer: Minimalism Meets Power

iA Writer has long been beloved for its clean, distraction-free writing environment. The development team focuses on simplicity, using SwiftUI to craft a consistent experience across devices. Their attention to typography, layout, and subtle animations creates a calm space that fosters creativity. The challenge was balancing minimalism with advanced features like Markdown support and seamless iCloud syncing—achieved through meticulous design and engineering.

Moises: AI-Powered Music Innovation

Moises transforms music practice by letting users isolate instruments, adjust pitch, and manipulate tempo with ease. The team faced the technical challenge of integrating sophisticated AI audio processing into an intuitive interface. They optimized performance for iPad and Mac, ensuring real-time responsiveness. Their success lies in making complex technology accessible to musicians of all levels, supported by a sleek UI and thoughtful onboarding.

CapWords: Breaking Language Barriers in Real Time

CapWords leverages AI and Vision Pro’s spatial computing to provide live meeting translation and transcription. The developers focused on accuracy, privacy, and seamless integration with Apple’s spatial audio and eye-tracking features. This required deep expertise in machine learning and user experience design to create an app that feels natural in professional settings. Their innovation enhances remote collaboration, making communication effortless across languages.

Final thoughts

The 2025 Apple Design Awards remind us that the future of app development lies at the intersection of:

• Innovation
• Thoughtful, inclusive design
• Cutting-edge performance and polish

Whether you’re a solo dev or building for millions, the lessons here are clear: stay close to user needs, embrace Apple’s newest capabilities, and never compromise on quality.

For users, this year’s winners raise expectations for what great apps should feel like—intuitive, smart, fast, and delightful.

<p>The post Inside the 2025 Apple Design Awards: Trends, Dev Tips & Behind-the-Scenes Stories first appeared on TheSweetBits.</p>

Best software development services involve the software development lifecycle (SDLC). Such processes keep on updating their strategies to satisfy technical demands. As a result, the practice which is accepted today in software development may not seem effective in upcoming years.

To drive an effective journey of software development projects, it is important to understand what are the major challenges you might face in 2025. In this article, you are going to get a simple roadmap to realize the challenges and guidance to cope up with them.

Challenges of software development to lookout in 2025

1. The Rise of AI and its Impact

Artificial intelligence (AI) is rapidly transforming the software development landscape. Developers are increasingly adopting AI-powered tools to enhance productivity and introduce innovative features in their applications. This includes techniques like code generation, automated testing, and AI-driven functionalities.

However, Experts predict that while AI tools can enhance productivity, they also introduce significant challenges. Emily Nakashima, VP of Engineering at Honeycomb, notes that:

“2025 will bring heightened awareness of the downsides of owning AI-generated code and running LLMs in production — what was fast to create in development is suddenly slow, expensive, and unpredictable in production.”

Overdependence on AI can also lead to a decline in traditional coding skills. It’s crucial to emphasize that AI acts as a valuable collaborator, enhancing developer efficiency but not replacing human judgment, especially in complex scenarios.

Solution:

The evolving role of AI necessitates a new skill set for developers. This includes prompt engineering, which involves crafting clear and concise instructions for AI tools, and critically evaluating the outputs to ensure accuracy and security. Additionally, developers need to navigate the ethical implications of AI use, maintaining high standards of quality and security within their creations.

Preparing future developers for an AI-driven environment necessitates an evolution in educational approaches. Coding curricula should focus on:

• Understanding AI behaviors and capabilities
• Safe and effective use of open-source libraries, addressing factors like dependency management and security vulnerabilities
• Foundational software engineering principles that transcend specific languages or technologies

Without these educational advancements, there’s a risk of producing developers unable to manage the complexities of an AI-enhanced environment.

2 The complexity of software project

Software projects, especially in today’s dynamic environment, can exhibit significant complexity. This complexity arises from various factors, including:

• Intrinsic complexity: Inherent to the problem being solved, such as intricate algorithms, large datasets, or novel technologies.
• Extrinsic complexity: Stemming from external factors like evolving business requirements, integration with existing systems, and the need to adapt to rapidly changing market conditions.

Poor communication between clients and development teams can significantly exacerbate these complexities. Misaligned expectations, unclear requirements, and a lack of transparency can lead to:

• Budget overruns
• Missed deadlines
• Scope creep
• Reduced project quality

Solution:

Addressing this challenge requires a proactive and collaborative approach:

• Establish clear channels for communication and regular feedback loops between clients and developers.
• Adopt iterative development approaches that allow for flexibility and adaptation to changing requirements.
• Utilize modern project management tools that facilitate collaboration, track progress, and manage risks effectively.
• Stay updated on the latest industry trends and best practices in software development and project management.

3. Assured quality

Developers may be tempted to overlook minor errors that seem to have little impact on outcomes, believing this will save time and help meet deadlines. However, this approach can lead to significant issues down the line.

Dylan Thomas, Senior Director of Product Engineering at OpenText Cybersecurity, highlights this concern:

“In 2025, DevSecOps will continue evolving beyond the ‘shift-left’ paradigm, embracing a more mature ‘shift everywhere’ approach.”

This evolution underscores the importance of quality assurance in software development. Ignoring even minor tasks can lead to larger problems, especially for new developers starting their careers who must adhere to best coding practices from the outset.

Solution:

Quality is paramount for every client. It is essential to prioritize quality over speed to ensure successful project launches. Implementing best coding practices will lead to more effective projects that meet client requirements and standards.

4. Secured outlet

“At the end of the day, the goals are simple: safety and security.” – Jodi Rell

It is an undeniable fact that data is the most precious commodity and people are likely to pay the face value for its security. Here, the clients are completely dependent on developers and this creates pressure on the developers to stand steadily on their trust.

As software development is expanding, security threats are also the most challenging to look out for in the coming years.

Solution:

It seems as if the entire range of information development is in the hands of hackers. As a newcomer, you might miss the loopholes of security and face the consequences. But, try to make this challenge your strength and create software security wisely.

Focus on these three factors of security:

• Strong password
• Powerful coding
• Frequently updating the system

5. Quick technology evolution

Evolution is the most important factor of IT companies. Meanwhile, to accumulate with the advancement and carry it with a trend is the most challenging for the developers.

Software development is going to create a remarkable change in 2025. Due to this pandemic, the world has started accepting new and innovative software that can be generated with low coding and work as user-friendly.

Solution:

Without any doubt, these recent changes have come with a scope to learn and accept the new things.

You might feel pressure to adopt new strategies but the following tips will help you to stand out in the market:

• Keep an eye on new updates
• Learn the strategies to improve software development
• Innovate trending software
• The clarity in communication with the client
• Be flexible to accept the changes

6. Enhancing customer demands

The prime complexity of software development is the regular changes in the IT industry and definitely, it is due to constant changes in demand.

The market always revolves around consumer demands. More demand, more chances of successful projects. The major mistake that most of the new developers make is they attempt to create software at which they are good at without making a concern about its market demand.

Two types of challenges fail the developers to match the standard of demands. One is: develop software without essential requirements. And another is: to design the needs and preferences of the customer.

In both cases, software development can derive positive results if you are clear about your customers.

Solution:

To develop the most significant software, be a developer with a business concept. You have to bring the essential characteristics in your software to satisfy consumer demands.

Also, it is compulsory to confirm software needs to make it less complex and user-friendly.

7. Time hindrances

Better three hours too soon than a minute too late. Software development is an ideal time task. As a result, a developer has to work under pressure and struggle to fulfil the project needs anyhow.

If a software developer fails to meet the deadline, someone might beat his opportunity to launch an innovative software in the market. This becomes quite challenging while working on an international level in different time zones.

It can directly affect the effectiveness and efficiency of the development teams.

Solution:

Software Development is fairly working on a professional level. So as a developer, you have to mention your required time for the development.

Utilizing iterative development approaches that allow for flexibility and adaptability to changing timelines. Leveraging project management tools that facilitate task management, time tracking, and team communication.

If working with distributed teams, establish clear communication protocols, utilize time zone-agnostic tools, and schedule meetings strategically to minimize disruptions.

8. Change of infrastructure/resources

Not every startup is well organized and well-developed in the IT industry. Lack of infrastructure and resources impacts badly on the productivity of the developers.

Lack of resources includes:

• Limited developing tools
• Insufficient storage
• Slow networks
• Lack of computing device
• Lack of communication networks

Now, not all IT companies can afford efficient resources. This can be more challenging for software development as new adaptations are going to arise in 2025.

Solution:

Software Developers have to explore cloud-based services to access powerful computing resources, such as virtual machines, storage, and networking infrastructure, on demand. Besides, implementing strategies to optimize resource usage, such as code optimization, efficient memory management, and proper resource allocation.

[ Related: The Best Online Platforms to Learn Programming Languages ]

9. Dealing with Big Data

The term Big Data itself means the collection of data is in vast quantity and time-consuming. Here, the major challenge will be to manage the growth and analyze the data promptly.

The data you receive is collected from all the networks and from usual-unusual directions. Don’t you think you will need to build strong security for that? Well, this is going to be critical in upcoming years with the constant growth of the software development industry.

Solution:

To manage big data technology, you can implement storage format particularly in terms of a file, drive or object to structure the data. And if you want to get rid of extra or duplicate data, avoid duplication codes in your work. By this, you can resolve your investment for the betterment of the project.

Keep in mind the business intelligence concept to analyze the data that discovers patterns and helps you to know the insights of the project.

10. Debugging in a remote mode

Debugging, the process of identifying and fixing errors in software, can be significantly more challenging in remote environments. While remote work has become increasingly prevalent, debugging applications running on remote servers or in cloud environments can present unique obstacles.

Tricia Gee, Lead Developer Advocate at Gradle, predicts:

“Flaky tests will continue to be a prominent issue for dev teams in 2025, especially as more companies continue to adopt microservices. This is because teams will need to do integration testing between microservices, which are inherently flaky. It will be critical for dev teams to prioritize identifying and fixing flaky tests.”

The challenges developers face include:

• Developers may have limited access to the underlying infrastructure and resources of the remote environment, making it difficult to diagnose and troubleshoot issues effectively.
• Replicating the exact conditions that led to an error in a remote environment can be challenging, hindering the debugging process.
• While remote debugging tools are available, they may not always provide the same level of visibility and control as debugging on a local machine.

Solution:

To overcome these challenges, developers can:

• Utilize powerful remote debugging tools that provide comprehensive visibility into the application’s execution, including features like breakpoints, step-by-step execution, and variable inspection.
• Implement robust logging and monitoring systems to capture critical events and system metrics, aiding in the identification and diagnosis of issues.
• Utilize the debugging and troubleshooting tools provided by cloud platforms, such as cloud-based IDEs and debugging services.
• Establish clear communication channels and collaborate effectively with other team members, system administrators, and cloud support teams to troubleshoot issues efficiently.

Extra: Challenges and Trends for Mac Developers

Mac developers face unique challenges and opportunities within the Apple ecosystem as they approach 2025. Staying informed about Apple’s evolving design guidelines (HIG) and energy efficiency recommendations is crucial. This includes optimizing for performance while minimizing power consumption and adapting to the latest UI/UX standards for a consistent and user-friendly experience across Apple platforms.

Key Trends and Insights:

• Diverse Sales Channels: With Apple opening up to competition, many developers are considering selling software outside of the Mac App Store. Currently, only 20% of Mac applications are sold exclusively through the App Store, while 37% are sold outside of it, indicating a growing trend toward utilizing third-party app portals like TheSweetBits. Developers must navigate challenges related to app discovery, marketing, and user acquisition when selling through their own websites or alternative platforms.
• Cross-Platform Development: A significant majority of Mac developers (75%) are now building cross-platform solutions, primarily targeting iOS and iPadOS. This trend reflects a desire to expand their reach while remaining within Apple’s ecosystem, though interest in developing for emerging platforms like visionOS remains cautious due to low market share and high device prices.
• Embracing AI Technologies: Over 41% of Mac developers plan to integrate AI models into their applications, with a focus on personalization, automation, real-time translation, and productivity tools. This highlights a significant shift towards leveraging AI to enhance user experiences and streamline app functionalities.
• Accessibility Standards: Ensuring that Mac applications are accessible to users with disabilities remains crucial. Developers need to adhere to Apple’s accessibility guidelines and implement features that cater to diverse user needs.
• Staying Updated with Technologies: Familiarity with the latest Apple technologies such as SwiftUI, Metal, and Xcode is essential for building high-quality, innovative applications. These tools offer significant advantages in terms of performance, developer productivity, and user experience.

As the landscape evolves, Mac developers must remain agile, adapting to new trends while addressing the unique challenges that come with developing within the Apple ecosystem.

Conclusion

As we look toward 2025, the software development landscape will continue to evolve, with traditional tech stacks collapsing under the pressure of APIs and tools designed to reduce complexity and accelerate development. This shift emphasizes the necessity for developers to adapt their skill sets to stay relevant in an ever-changing environment.

By embracing new technologies, prioritizing security, and focusing on user experience, developers can position themselves to thrive in this dynamic field. It’s essential to establish well-secured networks and remain attuned to consumer needs, ensuring that the solutions you create are both effective and user-friendly.

Ultimately, success in software development hinges on continuous learning and adaptation. By understanding the challenges ahead and proactively addressing them, developers can chart a successful path forward.

<p>The post 10 Software Development Challenges to Lookout in 2025 first appeared on TheSweetBits.</p>

Thinking of AI as a helping tool, here are some of the best artificial intelligence courses that will help you take your programming to the next level!

RELATED: Top AI Coding Assistants (Most are Free)

What is AI and how does it work?

Some people see AI as a tool that’s deleting jobs in many industries. However, AI isn’t as scary if you’re on the right side of it. This means you must keep up with technology to stay relevant in the industry. Besides your skillset, AI can be a great tool to help improve efficiency, accuracy, and productivity.

AI stands for artificial intelligence and it’s an open-source code that simulates human intelligence. It learns processes that humans do and it tries to simulate it with the help of information it “learns”. In simple terms, AI is an attempt to help machines have a similar or the same level of intelligence as humans.

If successful, this can have a huge impact on the way we do things, as it would help get things done faster, more precisely, and more efficiently. Right now, AI is already used in a variety of industries, including the finance and healthcare sectors, and it’s very popular in the programming industry. With the help of artificial intelligence, the solution can write code, streamline processes, and make things easier for developers by handling certain aspects of work for them.

So, why should you adapt and learn AI as a programmer?

AI can’t replace a skilled programmer, but it certainly can do simple programming tasks faster and better than a human at this point. That’s why it’s important to keep up with the AI, and instead of hating the change in the industry, use it to your advantage. Trust us, seeing changes in the industry is scary. Especially if you’re new at the job or aren’t certain of what the future holds.

But that’s one of the most important reasons why you should adapt and learn how to use AI as a software developer. Of course, you will still have to do a lot of work on your own, but you’ll get AI’s help to get the work done quicker. It’ll be as if you have a junior programmer who works with you on your projects. With that kind of help, you can have another set of hands and a pair of eyes to write better code and work on more projects at the same time.

Another big reason to learn how to use AI for programming is skill development. As a programmer, you can use your skills and the skills of AI in a variety of industries, filling the gaps at jobs you otherwise couldn’t handle on your own. While some believe AI is deleting jobs, it’s shaping the industry and if you learn how to use it to your advantage, you can get more work done.

How we select the best AI course for programming

The database of AI courses is increasing at a rapid speed, and while it would be extremely hard for us to test each one of them, our focus was on highly reputable course providers. These courts providers are known for providing some of the best courses on the market, including other fields outside of the AI. Therefore, while we’re being transparent, it’s important to note that we often update our articles whenever we come across a better or more appropriate pick, in this case, an AI course.

Therefore, down below, you can see a list of the best AI courses for programming that we currently have in TheSweetBits database of tested and checked courses.

Top artificial intelligence courses

We’re not talking about unknown courses that might not do much for you. Instead, we’re talking about certified and approved courses from the highest educational institutions, so you get the most accurate information up to date, so here’s what we’ve got for you.

#1 Introduction to Generative AI by Google

If you’re just starting and don’t understand much about artificial intelligence, Google’s introduction to generative AI makes the ideal course. This course is frequently updated (3 months ago, at the time of writing) and it only lasts for 10 days. At the completion, you get a certificate, which you can use in your CV.

In Google’s course, you can learn paths and concepts you can utilize with the help of AI in programming. The information comes directly from the fundamentals of the language models used to build these AI concepts. Besides large language models, you can learn how other companies (such as Google) use AI to their advantage, you’ll learn more about Responsible AI use and how you can implement it in your work.

After that, you will have to pass an exam on these subjects by demonstrating understanding and skills. From there, Google will teach you how you can use this knowledge and pair it up with Google Cloud. While this course with 4 various paths is ideal for beginners, by the time you finish, you’ll know how to create advanced models and prototypes with the help of deep learning, but also how to customize open-source AI code.

#2 AI for Beginners by Microsoft

If you’re a Python programmer and you’re a beginner, Microsoft’s course is the best place to get started. It introduces complex topics and it teaches it in a text-only way so you can go through 24 lessons in only 12 weeks. Besides learning the standard concepts behind AI technology, Microsoft takes things further by combining AI and Deep Learning to help you learn how AI processes data and how machine learning happens.

With this information, you’ll be able to grasp the concepts of artificial intelligence and artificial learning. From there, you can use alternative ways to approach AI to customize the open-source code to create your model, based on the two most popular core frameworks – TensorFlow and PyTorch.

The course is ideal for Python programmers, but you’ll also learn neural architectures that will show you how you can take advantage of AI for both images and text. The course will also cover less popular ways of approaching AI such as Genetic Algorithms and Multi-Agent Systems. While not many will use these approaches, Microsoft is diligent at covering the base of what’s behind the AI so you’re prepared to learn more and head in any specific direction you’d like.

#3 CS50 by Harvard University

If you’re a programmer with knowledge of Python language, CS50 is the right course that will introduce you to artificial intelligence with the help of Python. Just like every Harvard course, you can expect thorough lessons that will last for 7 weeks where you’ll dive right into the foundation of artificial intelligence.

With the in-course projects, you’ll learn how artificial intelligence works, and various bases, and even touch on machine learning and how it all can be combined. From other topics, people enrolled in the course will learn how to design artificially intelligent systems for various purposes.

The course touches on game engines, handwriting recognition, translation, and more. All of these principles and bases will help Python programmers understand what goes on “behind the scenes” to create or integrate AI models from scratch into systems. What’s even better is that Harvard’s CS50 course is free, but you can also get certified for a small price.

#4 DeepLearning

If you’re not an engineer and you’d like to learn how you can take advantage of your programming skills in combination with AI to fuel your business purposes, DeepLearning has the right course for you. The course goes further to explain common AI technology, including various models and principles. What’s great is that this course explains AI in a way even beginners will understand well.

Through various in-course projects, you’ll learn how to build AI projects that will help you understand realistic goals, and opportunities, learn ethical uses of AI, and how to build an AI model. The course also highlights the work within an AI team and strategy for an AI company, so you will most likely get ideas on how to apply the knowledge.

For visual learners, you’ll love examples of some of the biggest companies that took advantage of AI for business purposes, so you know exactly how to navigate AI within any business. DeepLearning course is free and it’s easy to apply to, so almost anyone can start straight away.

#5 Introduction to AI by IBM

If artificial intelligence is hard to understand or if you’re new to programming, an introductory course to AI is a great place to start and that’s exactly what IBM offers.

What’s different about this course is that it still teaches the foundation of artificial intelligence, including deep learning, neural networks, and machine learning. However, it doesn’t feature any programming. Even though you’ll only learn everything about AI most simply, you’ll still learn how AI is used in industries.

This means that you’ll also learn about ethics, and jobs that AI does and can do, and you’ll even get a chance to do a mini AI project on your own. This is where you’ll demonstrate and apply the knowledge and skills you’ve learned in the course. The course comes from a reputable IBM company and it lasts for about 3 weeks.

#6 AI Engineering by IBM

Taking your programming skills to another level is possible and that’s what this course from IBM helps with. Besides basics and introduction to AI, this course focuses more on learning the knowledge and skills necessary to build and deploy your own AI models with the help of various libraries.

While this isn’t ideal for beginners, if you’re sure of your programming skills and would like to catch up with AI at the same level, this is the right course to take. Within the course, you’ll learn how machine learning with Python works in the AI world, how to scale machine learning, the connection between deep learning with the help of PyTorch, and learning models with TensorFlow. You’ll also need to complete in-course quizzes, assignments, and projects.

#7 Practical Introduction to AI by the University of Helsinki

Programmers often learn better visually, so if you’re one of those programmers, a practical course that introduces you to AI by the University of Helsinki is a great choice. You will still learn to do almost anything within the AI’s limits through your projects, but you’ll learn all the skills and knowledge through real-life examples and methods.

The course starts with an introduction to an AI with real-time examples that are easy to understand. What’s significant about this course is that it also teaches about uncertainty and how machine learning and neural networks work and fit into the AI world.

Another thing that’s great for visual learners is that you’ll get to visualize and create a project you can use in real life. While this is an optional final step in the course, finishing it will give you a big advantage over students who don’t finish the optional task.

#8 AI Math Course by KAIST

If you’re a big fan of math and want to learn how to use it in the AI world, KAIST’s AI math course is the right choice. In this 3-week course, you’ll learn how to use linear algebra for AI operations and combinations that will power certain AI models. On top of that, you’ll learn how to solve the digitalization problem of AI apps.

By the end of the course, you should know how to handle the basics behind AI apps that rely on linear algebra. You’ll even touch on the square matrix problem and various linearly independent situations

The course is free and lasts up to 8 hours, and the certificate is a paid option for students who would like to get certified, besides learning the knowledge. It’s one of the shortest courses but it covers all math uses in the AI apps, so you’ll know exactly how to handle such scenarios, besides using your Python knowledge for AI.

Conclusion

Whether you’re efficient in programming or you’re only getting started, looking down the road and focusing on AI is a great idea. It’s a part of the future and it’s getting interlinked with programming that is done behind the AI apps.

While AI apps are capable of doing a lot, as a programmer, you have to create custom models, connect AI tools with databases, and solve problems that might occur. If you are afraid of AI deleting programming jobs, these courses will teach you and show you how you can take advantage of your programming knowledge to focus on a completely new industry.

READ NEXT:

• Best Keyboards for Programming and Coding
• Best AI-Powered Project Management Tools
• 6 AI Email Management Tools to Sort Your Inbox Effectively
• 13 Trending Web Apps Developed Using Node.js
• Best Platforms to Learn Programming

* Readers like you help support TheSweetBits. When you buy something through the links in this article, we may get a small commission at no extra charge to you.

<p>The post AI for Programming: 8 Best Artificial Intelligence Courses first appeared on TheSweetBits.</p>

At SweetBits, we’re passionate about software, apps, and digital tools we use daily, so we know exactly what tools would make a great assistant for programming, which is why we’ve curated a list of AI coding tools and assistants here for software developers.

RELATED: Best Keyboards for Programming and Coding

What is an AI Coding Assistant?

An AI coding assistant is a software tool that utilizes artificial intelligence to empower developers to write code more efficiently and accurately. This innovative tool operates by either generating code based on prompts or offering suggestions for auto-completion as you write code in real-time.

Here are the key functions of these tools:

• Automate repetitive tasks and help you focus on more complex aspects of your work
• Work seamlessly with popular code editors like Visual Studio Code
• Generate complete code snippets effortlessly from prompts
• Provide instant suggestions and auto-completions as you write code
• Check your code, find mistakes, bugs and speed up the fixing process
• Offer insights for code optimization to enhance efficiency and performance
• Help you add comments to your code for easy future reference

How we selected the best AI coding tools

With the huge rise of AI coding tool and assistants, it can be hard to keep up with all of them at once. While we are doing our best to find out all decent tools that fit the picks for this article, it takes hours to test all of them. With full transparency, we are safe to say that upon testing many tools and assistants, these were the best ones that made the cut.

Therefore, down below, you’ll only find the top AI coding tools and assistants and now it’s up to you to make the further choice. One thing is for sure, you can’t go wrong and you won’t have to spend as many hours as we did trying each one of these out. Read the full rundown of how we select tools to feature on TheSweetBits blog.

Top 10 AI coding tools and assistants

Most of these tools and assistants can save programmers hours by improving the way code is checked (shifting left), speeding up analysis of the code, improving the security of the app, and more. So here are the 10 best AI coding tools and assistants that can help you get more work done, but most importantly, accurately generate secure code.

1. GitHub Copilot

What if you could have another set of hands and pair of eyes to help you with your programming tasks and projects? That’s how you can think of GitHub Copilot. This coding tool is your personal programming assistant that can help you write functions, but also offer real-time suggestions while you code.

If you’re a beginner programmer, you’ll learn at a quicker pace by getting suggestions with explanations with code suggestions. Advanced programmers can sit back and relax while the GitHub Copilot checks and evaluates developed workflow. Whenver we came across a bug or a problem we couldn’t solve, we never felt stuck. Instead of using search engines or forums for help, we were able to rely on the tool itself to provide us the help we needed. GitHub Copilot provides real-time instant responses and you can always get assistance upon request.

For those who are part of an enterprise and would like to take advantage of GitHub Copilot in their own environment, the good news is you can. Copilot can be integrated into various terminals and can be tuned to precisely fit various industries and workflows. The pricing is very reasonable. Considering that GitHub Copilot is one of the most popular coding assistants on the market right now and is backed by some of the most knowledgeable people in the AI industry, it really has a lot to offer in return for its price tag.

2. Amazon CodeWhisperer

Amazon’s CodeWhisperer is an automatic code generator that actually changes the way programmers do shifting left. Not only can this coding assistant help check code faster, but it is also super helpful for programmers who want to take a break while having another “pair of eyes” overlooking the code and finding possible errors.

While you code, Amazon CodeWhisperer will generate suggestive code. Sometimes you can expect snippets, while in specific situations it can even be a single line of code. Other than understanding the code and offering suggestions in real time, you can get expert guidance from the Amazon Q assistant bot. Not only can you input your code, but you can also explain it and teach CodeWhisperer what it is you’re trying to do. From there, you can transform your code via personalized code suggestions generated in seconds.

Apart from productivity boost and accuracy, we loved having CodeWhisperer by our side even when we didn’t need much help. It can still your code in real-time so you can code with confidence and spend less time revising the code afterwards.

3. Tabnine

Worried about your delivery times, the accuracy of your code, as well as the security aspect of the programs you create? Tabnine is a great solution that mainly focuses on boosting productivity and moving code quicker from scratch to delivery. This coding assistant helps you write code faster via real-time code autocompletion, function suggestions, and completion, and even by the generation of code blocks upon request.

Tabnine is trained using open-source repositories so you can expect to get code delivered you can use without any legal trouble. However, you can also adapt Tabnine locally. When this is done, you can expect code suggestions that reflect the coding style of your database. What’s even better is that you won’t have to expose your code to adapt Tabnine, and you can rest assured that Tabnine won’t suggest your codes to other programmers, unless your codes are open-source and you give permission. Our integration experience was effortless and Tabnine was able to really code in our unique style.

Besides the coding suggestions, there’s also a Tabnine chat assistant where you can ask questions to the bot. If you introduce the Tabnine to your database, you’ll get personalized and specific answers for your code, including ideas and suggestions. Faster delivery, faster coding, and the ability to get more work done during your work hours, thanks to easy integration are just some of the benefits of Tabnine.

4. CodiumAI

CodiumAI is most known as an AI that tests your code to provide analysis and suggestions on how you can improve it via real-time interactions. Upon analysis, CodiumAI shows you how your code works and how suggested changes could make your code behave. This means you can create more value for the same daily work hours you do without worrying about sacrificing quality over quantity.

With real-time and regular code checks and analysis, CodiumAI runs tests that show you how your code behaves. If there are any changes needed, you can make them yourself while CodiumAI checks your work, or you can accept suggestions. What’s unique about CodiumAI is that besides code tests and suggestions, it also offers code analysis in a simple-to-understand way. It was a breeze writing code without having to repeat the same steps over and over again. Instead, we relied on auto-complete feature to help us move faster and go much further in our process for the same timeframe.

Whether you’re a beginner or an advanced programmer, there’s at least a way CodiumAI can help you. You can improve your productivity, write more error-free code, and actually see your code coming alive even before you finish writing it. If needed, help is always one click away, and here’s the best thing yet. CodiumAI is free for individual developers, so you can integrate it and get started right away.

5. Codeium

Codeium is one of the simplest free coding assistants that focuses on code completion and assisted chat. It can be used as a browser extension so getting started is relatively quickly. It only took us a couple of minutes to set it up. However, we were able to take the advantage of the Codeium extension to change the way we write code. What’s most important about it is that we were able to use Codeium for free as an individual, which is $0 per month forever.

Within the free membership, we were able to get help from various features while writing our code. These features include code autocomplete, which is super fast. At one point, we even got stuck writing our code and weren’t sure which option was the best to move forward. We then referred to the AI chat assistant, which helped us understand the meaning of the code and how it would make a difference in the final result.

With unlimited usage and simple support that happens via Discord, we are safe to say that Codeium is one of the easiest coding tools you can get started with today, for free. However, paid subscription models Teams and Enterprise are also very affordable considering advanced features it includes, such as incoming GPT-4 support, advanced code personalization, and more.

6. CodeGeeX

Coding takes a lot of time and if you like to code, just like we do, you’ll love having a coding assistant like CodeGeeX. CodeGeeX is classified as a coding assistant that’s designed to help developers with code generation and completion.

We noticed that we also get to translate the code and even ask CodeGeeX if there’s anything we don’t understand about a particular code. This proved to be super helpful since CodeGeeX focuses on the outcome of the code, explaining how the code and changes affect the final product. With only 3 main features, this coding assistant takes things to another level because it utilizes AI technology.

Our coding sessions felt different due to the helpful support during our sessions. If we ever got stuck, we knew that we can ask CodeGeeX questions, as if we would refer to a knowledgeable coder on our team. The main thing is that CodeGeeX can reduce the waiting time and improve the workflow, especially it supporting a variety of languages and IDEs. If you’re not sure how you’d find your way around a coding assistant, we recommend you give CodeGeeX a try, because it’s one of the simplest tools out there.

7. Visual Studio IntelliCode

If you’re unsure if you can trust artificial intelligence or not, then choosing a tool that comes from reliable source is recommended. Visual Studio IntelliCode is an AI coding tool from Microsoft. Coding with the Visual Studio IntelliCode felt like an extra boost of confidence for us and we really liked the whole-line autocompletion. Since Visual Studio IntelliCode analyzed thousands of code contributions on GitHub, we found its auto-completion feature to be of the highest quality.

Besides autocompletion, there are also quick actions. We selected the line of code and Visual Studio IntelliCode recognized the code and offered the right quick action that would fit our code. You can choose to type the quick action yourself and make further changes or just apply the whole quick action line. The quick action feature combined with automatic code completion really adds a boost to the productivity and we were able to feel it in real-time even during the first use.

We like to double-check the code ourselves and we make further edits. We were positively surprised with the repeated edits feature. This feature is integrated into the Visual Studio IntelliCode and it recognizes frequent edits you make within the code and it helps you apply it to other places, saving you the time you’d spend doing it manually.

8. SourceGraph Cody

SourceGraph Cody is one of the most unique AI coding tools on the market. It’s the tool that was able to read our codebase to help us with coding suggestions and advice that fit our coding style. At SweetBits, we noticed a time improvement in coding, but also an easier approach to long coding sessions thanks to the autocomplete and suggestions.

With the autocomplete and suggestions, we were able to understand more about our code, and Cody even helped us learn why we chose a certain approach. Whenever there was a question, we go to reach out to Cody in the AI-powered chat and got the right answers. The answers inside the SourceGraph Cody are so thorough that they explain every line of code in detail, with the end result in mind.

Besides working faster, there’s a great feeling of working smarter with Cody’s help. Of course, there are also advanced features where you can take full advantage of this coding assistant. From generating quick tests and repository explanations to defining custom commands – Cody is quick and helpful in all areas.

9. AskCodi

AskCodi is an interesting coding tool that is certainly an assistant with one mission – to help you save time on every line of code. This tool prioritizes speed and efficiency and we definitely noticed this from our first coding session with AskCodi’s help. AskCodi has very similar features to other AI coding tools and assistants, so we noticed well-known features such as an AI chat, quick suggestions, integrations, and code translation.

What surprised us about AskCodi is the fast API that’s aimed at high-performance users, the ability to master CNN Tenserflow basics, and even send Tweets. AskCodi helped us the most with repetitive tasks, allowing us to focus on more-important code lines, with the ability to quickly power through standard code without having to spend hours writing it.

Auto code suggestions also improve the focus and productivity, and if you’re programming at a larger scale like we are, this can save you hours on projects. Rather than losing work to AI, AskCodi really allows you to join forces so you can get more done in a smarter and more productive way than ever before. It’s worth mentioning that there are also Codi apps that can expand the tools’ capability and help you improve your workflow further.

10. Sourcery

Sourcery is an AI coding assistant that helped us the most with code reviews and revisions. Whether you’re stuck and don’t know where to go next or you can’t resolve an error in your code, it’s most likely Sourcery can help you.

With this coding assistant, we felt as if we have a partner at every step of the process. This is something most programmers are way above, but it’s nice going back to the beginning which is when you got the most help ever in your coding career. Whenever we needed answers, suggestions, and better information to navigate and understand code better, Sourcery assistant was there every step of the way.

The ability to automate repetitive work can free up a lot of time and when you finally reach the review stage, we are happy to report that this stage was also as efficient. What’s even better yet is that we were able to use the free version to work on open-source projects. If you’re working on all projects, then you’ll have to go with a subscription, but it’s very affordable considering the help you can get from the Sourcery.

Conclusion

Artificial intelilgence is improving but programming jobs aren’t going anywhere. Therefore, you should combine your knowledge and skills with one of the top AI coding tools or assistants to be way more efficient than ever before.

Whether you’re trying to reduce repetitive tasks, get needed help quicker to improve your skills, or have a helper that will improve your workflow – all of these tools are capable to do so. Of course, each tool is slightly different so it’s recommended to give each a try to find the one that works best for your needs!

READ NEXT:

• Top 30+AI Tools and Extensions for Productivity Boost
• Best AI-Powered Project Management Tools
• Top 10 Video Cartoonizer with AI-Powered Tools
• 6 AI Email Management Tools to Sort Your Inbox Effectively
• Top 9 AI-Based Design and Prototyping Tools

* Readers like you help support TheSweetBits. When you buy something through the links in this article, we may get a small commission at no extra charge to you.

<p>The post AI in Programming: Top AI Coding Assistants (Most are Free) first appeared on TheSweetBits.</p>

Here is something cool about programmers around the world. They are differentiated by language, skill set, and style but united by the need for an excellent keyboard. Until recently, they could find only a few options when programmers required an efficient keyboard for their day-to-day coding battles. However, things have changed, and you have hundreds of options to choose between.

For instance, it is not necessary you have to decide between conventional mechanical and non-mechanical keyboards. You can also explore hybrid keyboards that bring the best of both worlds. While this sheer variety of choice is impressive, you may find it quite a lot at times. Worry not, though. We have curated a list of the best keyboards for programming and coding.

TL;DR: The top coding keyboards right now

• Logitech MX Keys Advanced for the best overall wireless keyboard
• Logitech K380 for affordable wireless keyboard
• Mountain Everest Max for overall mechanical keyboard
• Logitech MX Mechanical Mini for portable
• Keychron K2 Version 2 for affordable mechanical keyboard
• Logitech MX Keys Mini for hybrid feature
• Apple Magic Keyboard for Mac for Apple device
• Microsoft Wireless Surface Quiet Keyboard for quiet feature
• Razer BlackWidow Elite for full size
• Logitech Wave Keys for ergonomic design

To compile this list, we sought input from a diverse group of programmers and our testers at SweetBits team, gathering their insights on keyboards they find excellent and those they personally use for their PCs or laptops.

And, for your convenience, we have picked keyboards from different categories. You will find non-mechanical as well as mechanical keyboards on this list. Similarly, while some of our picks are designed for maximum build quality, some keyboards offer an extraordinary level of customizability. So, we believe you will find at least one good option from this roundup.

RELATED: Best Mac for Programming ｜ Best Chairs for Developers

Best wireless keyboards for programming

#1 Logitech MX Keys Advanced – best overall wireless keyboards

MX Keys Advanced from Logitech is one of the most popular keyboards in the market—and for all the good reasons. So, if you need an overall impressive keyboard that works great for programming, you should check out this wireless/Bluetooth keyboard.

Pros

• It offers a premium typing experience
• Advanced customization options
• You get haptic feedback without noise

Cons

• The design is not comparable to mechanical keyboards

Even though the MX Keys Advanced is not a mechanical keyboard, it offers a tactile and responsive typing experience for extended times. The metal build and the well-designed keycaps add value too. You can choose between the full-size and compact variants. The full-size version is the better choice if you want to use the number pad. The Compact variant is better if you have less desk space.

The MX Keys Advanced offers more than normal keyboard backlighting. It uses a proximity sensor to detect when you are about to type and turns on the backlight, conserving maximum battery. You can use this keyboard for programming, regardless of the Operating System you use. It works in plug-and-play mode with Windows, macOS, Linux, iOS, Android, and iPadOS via Bluetooth/wireless.

You also get a long-lasting battery and the support for Logitech Flow. Logitech Flow lets you move your cursor between Mac and PC. You can also easily switch between with up to three devices, thanks to its three dedicated keys.

Even though the MX Keys Advanced uses a USB Type-C port for charging, you can’t use the product as a wired keyboard. It could be a potential problem when you need a wired keyboard. The customization tool for Logitech accessories is far from perfect and requires improvements on the UI and performance fronts.

Overall, for what it costs, MX Keys Advanced is a great choice, indeed. Unless you require something too much niche, this keyboard should increase your productivity in programming.

#2 Logitech K380 – best affordable wireless keyboard

If budget is your primary concern while choosing a wireless coding keyboard, you do not have to worry. Among the many options in the market, and the Logitech K380 Multi-Device Bluetooth Keyboard is a great option that you can get.

Pros

• It is an extremely affordable option
• Compact and aesthetically appealing
• You can easily shift between three devices

Cons

• It lacks customization options

Even though the Logitech K380 Multi-Device Bluetooth Keyboard is not optimized for programming, it works great as a productivity keyboard. You can connect the device to up to three devices and easily shift between them, thanks to dedicated keys. Compared to how much you have to pay, this keyboard offers an impressive user experience and aesthetic appeal.

It is also impressive that you can get the keyboard in different finishes, including Lavender, Sand, Graphite, and Off-White. So, if you need a wireless keyboard that goes in sync with your programming workstation, it will be a great option. We also love that the Logitech K380 Multi-Device Bluetooth Keyboard is lightweight and remains compact enough so that you can take it almost everywhere.

We also loved the convenience options from the keyboard. For instance, a single pair of batteries should be sufficient for months, if not years. So, even if you use the keyboard regularly, you can stop worrying about having to replace the battery so often.

But you may be a little disappointed if you were looking for a wireless keyboard with a rechargeable battery. But this small limitation aside, the Logitech K380 Multi-Device Bluetooth Keyboard offers value for what you have to pay. The best part? You can pair it with a variety of accessories from Logitech, including Pebble.

At the end of the day, you can expect a semi-premium typing experience from this affordable keyboard from Logitech. While it has some limitations, such as the lack of wireless connectivity (it uses Bluetooth), it works great as a cheap keyboard that gets the job done.

Best mechanical keyboards for programming

#3 Mountain Everest Max – best overall mechanical keyboard

There is an almost cult following for mechanical keyboards, and programmers are not an exception! If you require the best mechanical keyboard for programming with all customization options, you should check out the Mountain Everest Max.

Pros

• Incredible build quality and aesthetics
• Advanced customizability and control
• Modular design for maximum performance

Cons

• It can be too expensive an option for some

Mountain Everest Max is a modular and hot-swappable keyboard that you can customize as you wish. You can swap individual keycaps and attach/detach modules as per your needs. The unique Media Dock is beneficial when you want to customize your workflow. The keys from the dock can be customized according to individual apps you use for programming.

You can also decide whether to keep the number pad attached. It is a great option to remove it when you would like to travel with the Mountain Everest Max keyboard. Even though we recommend the Mountain Everest Max keyboard as a great choice for programming workspaces, the device is quite versatile. For instance, you can easily use it for pro-level streaming.

Likewise, It is impressive that the keyboard customization app from Mountain Everest requires no prior tech expertise. You can customize keys, create macros, and manage the keyboard with ease. The design of the Mountain Everest Max Mechanical Keyboard is quite bulky. Even when you remove the number pad and the media dock, it weighs quite a lot. The product also stays on the expensive side of things.

So, when you need all the features from this keyboard, you got to pay a lot. If desk space and budget are no restrictions, you can pick the Mountain Everest Max mechanical keyboard for your efficient programming workflow.

#4 Logitech MX Mechanical Mini – best portable mechanical keyboard

If you have to travel with your keyboard, a portable keyboard is a must for programming needs. In that case, we recommend the Logitech MX Mechanical Mini keyboard, which you can use via Bluetooth or wireless. It works great on PC, Mac, iOS, and more platforms.

Pros

• Reasonable pricing for the features you get
• It effortlessly works with multiple platforms
• Compact and portable design

Cons

• Tactile feedback may not be ultimate

The Logitech MX Mechanical Mini is one of the most compact mechanical keyboards you can get today. It packs, despite its small size, all the features you expect in a programming-friendly keyboard. The typing experience from the keyboard is exceptional considering its low profile. You can expect great tactile feedback, which lets you enhance the typing workflow.

But if you are not a big fan of the clicky sound, you can choose between different styles, such as the Tactile and Linear switches. Once again, Logitech lets you decide between a default and Mini variant. In terms of customization, the Logitech MX Mechanical Mini is impressive. You can use the Options+ utility from Logitech to customize keys and enable quality control of the keyboard.

As a programmer who moves between work and home office, you can conveniently carry this tactile keyboard and easily connect to up to three devices. Again, this Logitech keyboard does not work as a wired device, even when you use the Type-C cable for charging and data connection.

Additional customization options on the Logitech MX Mechanical Mini can be pricier for at least some people. Altogether, if you want something portable that does not compromise the typing experience, you can surely pick up the Logitech MX Mechanical Mini.

#5 Keychron K2 Version 2 – best affordable mechanical keyboard

You do not always have to spend a lot of money to get an efficient keyboard for programming. The Keychron K2 Version 2 is one of those exceptional products. While the keyboard does not cost a lot, it offers a seamless typing experience and becomes one of the cheapest ergonomic keyboards for the price.

Pros

• Reasonable pricing for a mechanical keyboard
• Full support for Windows, macOS, and Linux
• A great balance of build quality and customization

Cons

• The battery backup on Bluetooth can be better

The first thing you would notice about this portable mechanical keyboard is the options you get. You get to choose between different switch combinations, including Gateron Brown Switch and Blue Switch. You can go for the hot-swappable variant as well if you plan to customize the keyboard further down the line. While some of these variants cost a little more, the price stays the same for most combinations.

In terms of connectivity and control, the Keychron K2 Version 2 does not disappoint. You have the option to decide between a wired and Bluetooth connection. The wired connection, which uses Type-C, ensures more stability compared to the wireless version. On the bright side, the Bluetooth connection mode lets you easily shift between three connected devices.

Compared to other mechanical keyboards from Keychron, the K2 Version 2 does not weigh a lot, either. So, you can easily carry the product around. By default, the keyboard comes with a Mac layout, but you also get Windows keys that you can easily replace the Mac-specific keys with.

By the way, you should keep in mind that the Keychron K2 Version 2 does not last long when using with the Bluetooth mode. You can expect the keyboard to work for up to a week if you use it for around 8 hours per day. We also loved the RGB backlighting option, which adds value to the overall typing environment of the keyboard.

Worthwhile mentions

Here are a few other keyboards you can consider as a programmer, especially if you need something more unique.

#6 Logitech MX Keys Mini – best hybrid keyboard

You should check out the Logitech MX Keys Mini if you require a premium hybrid keyboard for programming. It is a minimized version of the MX Keys Advanced and has a portable design. So, if you want to use the same keyboard for programming both at home and in your office, the design is much suitable. Although it is not a mechanical keyboard, it offers a convenient typing experience.

You have a couple of options with this keyboard, though. For instance, you can choose between a common version or a macOS-specific version. However, you should keep in mind that the common version works with Windows, macOS, Linux, iOS, and iPadOS. This backlit keyboard has no wired connection, even though it uses a Type-C port for charging. It could very well be one of the cheap keyboards in this coverage.

#7 Apple Magic Keyboard for Mac – best for Apple device

Do you use a Mac for programming? In that case, you should consider the hybrid keyboard that Apple makes as well. As you know, the Magic Keyboard for Mac is considered one of the best options for Apple devices, including but not limited to your Mac and iPad. We love this keyboard for its tight integration with the Apple ecosystem, among other things.

For instance, you can get started with the keyboard by placing it close to your Mac or iPad. Similarly, a special row of dedicated buttons also is practical more often than you think. As a programmer, you can also enjoy a more optimized layout with quick access to shortcuts. You can essentially use the device as a wired keyboard, thanks to the Lightning port on the back.

#8 Microsoft Wireless Surface Quiet Keyboard – best quiet keyboard

Occasionally, you need a keyboard that does not create a lot of noise while typing. For some programmers, it pays to have silence around them. If you are one of them, you can consider the Microsoft Surface Wireless keyboard, which works great with Windows PCs. So, if you use a minimal system for coding and development for Windows, you can count on this keyboard.

The good thing about this silent keyboard for programming is that you can choose between two connection options. For instance, you can decide Bluetooth or 2.5GHz wireless based on the setup. Compared to the other premium-quality keyboards that we have covered, the Surface Keyboard from Microsoft does not cost a lot, either. It will be a great choice as an entry-level keyboard for most programmers.

#9 Razer BlackWidow Elite – best full size keyboard

The Razer Blackwidow Elite is an impressive coding keyboard, providing a full-size mechanical switch experience with dedicated media controls, RGB backlighting, and a wrist rest. Built to withstand 80 million clicks, it features a military-grade metal top plate and convenient USB 2.0 and audio ports. With Razer Hypershift, you can reassign keys for intricate commands, making it ideal for coding in languages like JavaScript and Python.

Despite the absence of dedicated macro keys, the keyboard allows easy macro recording on any key through the keyboard or companion software, catering to diverse user preferences. With strong customer support on the Razer website and excellent gaming capabilities, the Blackwidow Elite is a top-tier choice for those seeking a full size mechanical keyboard for coding and gaming.

#10 Logitech Wave Keys – best ergonomic design

This product is the latest addition to Logitech’s peripherals lineup. Despite its novelty, this keyboard offers a comfortable and familiar typing experience, which is particularly well-suited for software developers who require a natural and pleasant typing experience for coding throughout the day.

One of its standout features is the integrated palm rest and the distinctive wave-shaped layout. Notably, the raised center portion of the keyboard, which inspired its name, Logitech Wave Keys, adds to its unique design and enhances typing comfort. It also works great with the Mac, PC and iPad. So, if you’re looking for the ideal companion for your new laptop or desktop, the Logitech Wave Keys keyboard is a reliable choice.

FAQs

Do I need a special keyboard for programming?

You do not need a special keyboard for programming. However, you should keep in mind that programming requires typing for continuous hours. Therefore, it is important to make sure that you have a keyboard that offers advanced comfort and haptic feedback. It is one of the reasons experienced programmers choose a mechanical keyboard for programming and similar professions.

Wired vs. Wireless Keyboards: which is better for coding?

the choice between wired and wireless keyboards for coding depends on individual preferences and the specific requirements of the coder. If reliability and minimal input lag are top priorities, a wired keyboard may be the preferred choice. On the other hand, if flexibility and a tidy workspace are essential, a wireless keyboard with reliable connectivity may be more suitable. Ultimately, both types of keyboards can be effective for coding, and the decision comes down to personal comfort and the working environment.

Do programmers use 60% keyboards?

Even though 60% keyboards offer advanced portability, they are not the best for programmers. One of the reasons is the lack of dedicated arrow keys, which are beneficial while scrolling between code-lines. So, it is better not to go for 60% keyboards. On the bright side, you can find 75% keyboards that do not take up a lot of desk space.

Is MX Keys good for coding?

Yes, the MX Keys keyboard for Logitech is good for coding and other advanced tasks. The keyboard offers a convenient typing experience, thanks to the well-built structure. You can also get practical haptic feedback from the design. Compared to these features, the MX Keys does not cost a lot, either. So, together, it is an impressive option.

Is Membrane or Mechanical better for developers?

The choice between a membrane or mechanical keyboard for developers is largely subjective and depends on personal preference. Mechanical keyboards are favored for their tactile feedback, durability, and customizable switches, offering a more satisfying typing experience. However, some programmers prefer the quieter and more lightweight design of membrane keyboards. Ultimately, it’s about individual comfort and typing preferences.

Which keyboard is best for coding?

While there is no single universal keyboard considered the best for programming, there are many options to make you productive. You can choose between multiple categories such as mechanical, non-mechanical, and hybrid keyboards. For instance, Logitech has options for both mechanical and hybrid keyboards. On the other hand, you can check out the products from Keychron if you want the budget keyboards with mechanical keys.

* Readers like you help support TheSweetBits. When you buy something through the links in this article, we may get a small commission at no extra charge to you.

<p>The post 10 Best Keyboards for Programming and Coding first appeared on TheSweetBits.</p>

On the bright side, a wide range of gifts is ideal for programmers and techies. Searching for them can take hours, but it’s much easier to check our 10 best coding gifts since we did all the research for you, so let’s break it down! Everyone at SweetBits is passionate about software, apps and tools we use daily, so we know exactly what would make a great gift.

Practical coding gifts for programmers

With everyone being a different individual, it can be hard to make a list of gifts that fit everyone. However, these 10 coding gifts will most likely fit a wide range of people, and it’s up to you now to choose a gift that makes the most sense for your favorite person.

1. DIY Mechanical Keyboard Kit

If you know a programmer, a tech person, or anyone who uses a computer for work, a DIY mechanical keyboard kit is one of the best gifts.

People who use computers for work have to type a lot, especially programmers. With the rise of mechanical keyboards, there’s a wide range of choices. Mechanical keyboards come with a variety of mechanical switches that determine the typing experience, feel, accuracy, and even typing speed.

That’s why a DIY mechanical keyboard kit makes a perfect gift. It gives people the chance to build their mechanical keyboard from scratch, starting with the board included here. From there, they need mechanical switches, keycaps, and decorations to make a unique keyboard and personal typing experience.

2. Pluralsight Courses

When it comes to picking e-gifts for tech enthusiasts, Pluralsight Courses stand out as a fantastic choice. Not only do they arm individuals with up-to-date knowledge, but they also empower them to keep up with the ever-changing tech world.

What sets Pluralsight apart is its Pluralsight Skills – a tech skills hub crafted to measure, enhance, and lift the skills needed in today’s tech landscape. It acts like a personal guide, helping folks discover essential programming skills, spot any gaps, and plan a journey towards mastering their roles. Thanks to carefully curated learning paths, Pluralsight seamlessly guides learners from beginner to expert, covering a range of tech skills, not just limited to AI.

What adds an extra layer of appeal to Pluralsight Courses is the flexibility they offer. Instead of being confined to a single course, this gift opens doors to an entire collection of courses for the recipient. This means they have the freedom to shape their learning experience based on what best suits them, turning education into a personalized and impactful journey.

3. Coffee Mug

One thing that most people consume is coffee (or tea) and it’s mostly consumed during work hours. Programmers and techies most likely enjoy beverages next to their keyboard so a special coffee mug is a thoughtful gift that won’t break the bank.

For example, this coffee mug is ideal for programmers since it has a code focused on coffee. Not only does this make a fun gift, but it’s also a quality mug suitable for dishwasher and microwave use. With that being said, programmers won’t have to spend time washing the mug by hand and they can always reheat the mug.

What’s even better yet is that this coffee mug is made from a small family-owned business in the USA so you’ll also be supporting others at the same time while supporting your favorite person in his work. Of course, there are all kinds of such coffee mugs so feel free to browse some more to find a mug that’ll fit your person better.

4. Programmable Robot

When you know someone younger who is very interested in programming, tech, or gadgets, one of the best gifts is the programmable robot. A programmable robot is made for educational purposes but it’s designed in a way to bring hours of fun. The Artie 3000 coding robot can spark curiosity and help beginners learn how to write code. After successfully creating the code, Artie the robot will draw from the code.

With step-by-step instructions, it’s great to learn coding with visual aspects that will help improve logical thinking, the basics of coding, and even advanced features. This robot features the most common programming languages such as Snap!, Python, and JavaScript. The only thing you will also need is a laptop or a tablet, which isn’t included.

This gift will make a great gift with plenty of possibilities that will provide educational content for hours in a fun and interesting way. Whether it’s something they are familiar with or it’s something they have no idea about, it’ll bring hours of fun and a lot of educational content to renew their knowledge or learn something completely new.

5. Ergonomic Chair

Sitting down for hours as programmers or techies can be exhausting. Not only can it be painful, but it can also have a negative long-term effect on the back and spine. Therefore, an ergonomic chair is one of the most practical gifts every programmer would need to stay comfortable.

Monhey is an ergonomic office chair that integrates lumbar support, a 3D headrest, flip up armrests, and a lockable swivel design. This way, anyone who sits at a desk for hours can improve the spine position, alleviate back pain, or even treat conditions like sciatica. The material is breathable and comfortable thanks to a combination of sponges.

With the armrests that can flip up at 90 degrees, you can adjust your chair to your body, rather than having your body adjust to the chair’s shape. This helps a lot when you’re trying to correct your posture and sitting position without sacrificing comfort.

6. Reusable Notebook

Do you know a programmer or a techie who goes through notebooks quickly? Rather than getting a bunch of high-quality notebooks, the next best gift is the reusable notebook. Programmers and techies love smart gadgets and this smart notebook is just one in a row, and chances are they don’t have this one yet.

With 3 sizes, you can choose the one that will fit your person the best since they can use it for a lifetime, thanks to its reusable functionality. The pages are made of synthetic material that provides a smooth writing experience, just like you experience on a regular paper. However, this smart notebook can turn text into digital formats so you can scan your notes and materials for easier sharing. Along with the smart notebook, you also get a Pilot FriXion pen that’s suitable with the reusable notebook and also a microfiber towel that’s used to erase your writing.

With the Android and iOS apps, this smart notebook can easily turn text you write into documents you can have on your phone within minutes. Besides the notebook where you can keep notes, there are also planners and other page-styled books for better productivity. This way, programmers and techies can keep all their notes as usual, but with the ability to turn them digital in seconds. There are also 15 different colors so you can match this smart notebook with your person’s favorite preference without a doubt.

7. Electronics Starter Kit

Techies who love electronics and gadgets will love an electronics starter kit. This is the most complete starter kit, which is compatible with Arduino IDE. Including 200 components made of premium quality, you can expect them to work with any type of design you make.

There are 33 lessons included (in a PDF format) and the greatest thing about this kit is that you won’t have to do any soldering yourself, thanks to the LCD1602 and GY-521 modules. Since there are too many pieces to keep track of, there’s also a small box ideal for storing all components. But with proper labels, it’s a joy to go through all of the possibilities.

Whether you know a programmer or a techie who loves coming up with ideas or whether he loves to follow structured plans, this electronics kit can bring hours of educational fun.

8. Laptop Backpack

Laptop backpacks are a great choice for a gift for people who use a laptop to get the work done and are on the move a lot. What’s great about laptop backpacks is that they can pack much more than just the laptop. Techies and programmers often have a lot of gadgets, cables, and devices, so a quality laptop backpack such as this one can serve a great purpose.

Increased mobility and better protection of the laptop and other devices are guaranteed, and yet this gift is worth the price since it offers a lot of value without breaking the bank. With the ability to pack a 17′ laptop, easily speed through airport security, and securely store all other accessories in well-designed pockets, a user-friendly experience is guaranteed. There is a specific file holder compartment that is RFID-protected so you won’t ever have your details and important information stolen in public. With user experience in mind, this SwissGear 1900 laptop backpack is also super comfortable thanks to the ergonomically contoured straps, compression straps, and airflow padding. There are 9 different colors of this backpack so it can be a good fit for both men and women.

The interior organization allows people to carry a laptop, a tablet, media, and smaller accessories in a zipped mesh pocket, and the best thing is you won’t even have to take electronics out without the need of removing the electronics. While this is a general gift, it’s ideal for anyone who uses a laptop or plenty of tech devices and is often on the go. Lastly, this backpack is from the SwissGear brand which is well-known for quality products, especially backpacks. With that being said, you will get high-quality without breaking the budget, since the price tag is still pretty affordable.

9. Makeblock CyberPi Coding Kit

This Makeblock CyberPi coding kit is a great gift for programmers who want to learn Python and it’s ideal for beginners and everyone from the age of 8 and above. It’s an all-in-one kit that helps you visualize the code you’re writing for an easier learning experience.

Since it’s compact and it fits in the pocket, it’s great for practicing and learning on the go. There’s a single board that features multiple functions and integrates functionality such as a gyroscope, accelerometer, speaker, microphone, Wi-Fi, and other features. With a small LED, you can create and play video games, check the weather, connect smart home features, or even do robotics and create innovative assistants.

Along with the Makeblock CyberPi, there’s also an expansion board that expands the capabilities so you can create gesture recognition, voice controls, and many other advanced projects. With the purchase of the Makeblock CyberPi, there are also 37 lessons, which are user-friendly and there are lessons ideal for beginners to advanced users. Since this is a little gadget with large capabilities, it’s an ideal gift to help someone learn programming and visualize what they’ve been working on.

10. Noise Canceling Headphones

One thing that every techie or programmer need is a quality pair of Bluetooth headphones that can block out the surroundings. Whether they’re working from home, a co-working space, or a next-door coffee shop, keeping focus throughout the day is important.

With a pair of noise canceling headphones such as the Sennheiser Accentum headphones, they can get a battery life of about 50 hours on a single charge, hybrid noise canceling, and a comfortable design for an all-day usage. Quality listening experience is guaranteed thanks to the 5-band EQ, and techies interested in creating a custom sound can further customize the audio experience via equalizer.

With a quality microphone integration (2-beamforming technology), having important calls in the office or on the go isn’t ever going to be a problem. Also, with a foldable and ergonomic design, it’s easy to take Sennheiser Accentum headphones on the go. Sleek and stylish black design is most likely a good fit for everyone’s taste and it’s an affordable but a must-have item that will make everyone’s gift shopping much easier. One thing we like the most is the silicon headband that ensures the headphones sit tight but not too tight for comfort. Robust design and exceptional build quality coming from a reputable brand such as Sennheiser ensure top-notch quality, while the price point won’t break the bank.

Conclusion

With a wide range of available gifts, sometimes it can be tricky to choose the best one. Therefore, this list of gifts ideal for programmers and techies will most likely be ideal for many people.

With unique aspects of these gifts and the mindfulness behind each gift, they’ll include everything a thoughtful and meaningful gift should include. However, if none of these gifts are ideal for your favorite person who’s into programming or tech, you can still use our guide to help you find and choose a gift on your own.

* Readers like you help support TheSweetBits. When you buy something through the links in this article, we may get a small commission at no extra charge to you.

<p>The post Best Coding Gifts for Programmers and Techies first appeared on TheSweetBits.</p>

As you find yourself here, you’re likely on the same mission – the quest for the best chair for programmers and software developers.

So, stick with us through this guide as we’ve carefully selected and compiled a list of top chairs perfectly suited for you in this new era of remote work.

RELATED: Best Keyboards for Programming and Coding

Best chairs for programming

We usually spend more than 10 hours working, which includes completing coding assignments and testing apps. When we were in the market for a chair, we had two key things in mind:

1. It needed to have an ergonomic and body-friendly design.
2. It should come from a reputable brand with good built-in quality.

Taking these requirements into consideration, we’ve narrowed down a list of chairs for programmers available on Amazon. You can explore them below, but keep in mind that the prices vary depending on the brand, quality, and features.

• Herman Miller Embody: the ultimate ergonomic allrounder
• Sihoo Ergonomic Office Chair: affordable comfort and ergonomics
• Boss Task Chair: simple functionality on a budget
• Alera Elusion Chair: quality comfort without the premium price
• Homall Gaming Office Chair: style and comfort for programmers
• BOSMILLER Gaming Chair with Footrest: luxury comfort with versatility
• Steelcase Leap Task Chair: elegance meets ergonomics
• Herman Miller Sayl Chair: artistic craftsmanship with tailored comfort

Ergonomic chairs

1. Herman Miller Embody: the ultimate ergonomic allrounder

Pros:

• Unmatched comfort for extended use
• Highly customizable to accommodate various body types
• Sturdy build ensures long-term durability
• Exceptional lumbar support

Cons:

• Comes with a premium price tag
• Assembly can be challenging

The Herman Miller Embody isn’t just a chair; it’s an experience. Crafted with insights from medical professionals, it redefines comfort and productivity for software engineers. Every detail, from its adaptive pixelated support to its spine-like back design, screams premium quality.

While its price may give you pause, the unparalleled comfort and productivity it provides are worth every penny. Whether you’re coding for hours on end or enduring back-to-back meetings, the Embody ensures you do it with optimal support.

While its unique design and multitude of features might seem daunting to assemble, clear instructions and a touch of patience can help you get it set up.

2. Sihoo Ergonomic Office Chair: affordable comfort and ergonomics

Pros:

• Exceptional lumbar and head support
• Highly adjustable for a customized fit
• Breathable backrest for long work sessions
• Solid build quality

Cons:

• Some users may find the seat a bit stiff
• Assembly instructions could be clearer

In the vast ocean of ergonomic chairs, the Sihoo stands out by striking a balance between affordability and comfort. Endorsed by the Ergonomic Applications Association, it promises a supportive and budget-friendly seating experience.

The Sihoo Ergonomic Office Chair isn’t just a seat; it’s a commitment to better posture and improved work sessions. While it may not boast the premium price tag of high-end chairs, it doesn’t compromise on features.

With adjustable armrests, headrest, and lumbar support, you can ensure you’re always comfortable, even during long hours of sitting. Its breathable backrest promotes airflow, ensuring you stay comfortable during extended work periods, making it an ideal chair for programmers.

Despite some room for improvement in seat material and assembly instructions, this chair is a reliable choice that won’t break the bank or your back.

Budget-friendly chairs

3. Boss Chair: simple functionality on a budget

Pros:

• Affordable price point
• Straightforward design suits any office environment
• Adjustable settings for personalized comfort

Cons:

• Lacks some advanced ergonomic features of pricier models
• No adjustable lumbar support, crucial for developers

The Boss Chair strikes a balance between simplicity and functionality. Designed for those who value straightforwardness without compromising comfort, it’s a nice choice for developers and programmers who spend long hours at their desks.

While it may not boast cutting-edge ergonomic features, it delivers consistent comfort during extended coding sessions, thanks to its dense cushioning and ventilated mesh back.

Its unassuming design effortlessly blends into any workspace, making it an economical pick for many programmers.

4. Alera Elusion Chair: quality comfort without the premium price

Pros:

• Affordably priced without sacrificing quality
• Contoured seat design for maximum comfort
• Mesh back structure ensures consistent ventilation

Cons:

• May lack some ergonomic features
• Offers fewer customization options than high-end counterparts

The Alera Elusion Chair strikes a balance between budget-friendliness and ergonomic design, making it one of the most affordable office chairs for developers. It provides essential support and comfort without stretching your budget.

Similar to the Boss Task Chair, the Alera Elusion Chair emphasizes that premium quality doesn’t always demand a premium price. Its comfort-focused seat design and breathable backrest create a relaxed and cool work environment, making it ideal for remote work setups.

While it may not offer all the features and customizations of more expensive chairs, its reliability and value are undeniable. For those on a budget who refuse to compromise on back support, the Alera Elusion Chair is a good choice.

Gaming & multi-functional chairs

5. Homall Gaming Office Chair: style and comfort for programmers

Pros:

• Lightweight design
• Seat tilt mechanism offers a 90-180° adjustment
• Stylish aesthetics suitable for gaming and office setups

Cons:

• May appear too flashy for traditional office environments
• Cushioning could be improved

The Homall Gaming Office Chair isn’t just for gamers; it caters to the needs of programmers, offering both comfort and style. With its seat tilt mechanism and sleek design, it’s a chair that looks as good as it feels.

While it’s marketed as a gaming chair, its features make it equally suitable for developers, programmers, and anyone who spends extended hours in front of a computer.

The adjustable tilt mechanism ensures you can find the perfect angle for long coding sessions. Its modern design adds a touch of sophistication to any workspace.

Despite its lightweight design, it doesn’t compromise on comfort. Whether you’re immersed in a gaming session or debugging complex code, the Homall Gaming Chair ensures you do it in comfort and style.

6. BOSMILLER Gaming Chair with Footrest: luxury comfort with versatility

Pros:

• Built-in footrest for enhanced relaxation
• Premium foam padding for comfort
• Adjustable recline for short respites, ideal for remote work

Cons:

• Gaming-oriented design may not fit all office aesthetics
• Requires more space due to its size

The BOSMILLER Gaming Chair goes beyond typical gaming seats; it’s equally compatible with work, making it perfect for long hours at the computer. Equipped with a built-in footrest and luxurious padding, it ensures maximum comfort during intense gaming marathons or while coding complex algorithms.

Its standout feature, the built-in footrest, offers a relaxing retreat during brief breaks. The chair’s premium foam padding guarantees a consistently cozy seating experience, and its adjustable recline is perfect for those moments when you need a quick escape.

Although its aesthetics lean towards gaming, the chair provides a high level of comfort that appeals to other professionals as well. If you’re drawn to its design and have the space to accommodate it, the BOSMILLER Gaming Chair is a good choice for any tech enthusiast’s setup.

Premium & high-end choices

7. Steelcase Leap Task Chair: elegance meets ergonomics

Pros:

• Advanced ergonomic design
• Wide range of adjustability features
• Durable and built to last

Cons:

• Finding the perfect adjustments may take some time

The Steelcase Leap Task Chair seamlessly blends elegance and ergonomics. It’s not just about looks; it’s designed with the modern user in mind, offering a range of adjustments to ensure optimal comfort throughout the day.

This chair stands out with its sophisticated design and cutting-edge ergonomics. Recognizing that different occupations and individuals have unique requirements, it offers a wide range of adjustability features, allowing you to tailor the chair to your precise preferences.

Whether it’s adjusting the seat depth, lumbar support, or armrest position, the Leap Task Chair has you covered. While it comes with a premium price tag, the investment is worth it, as it prioritizes your comfort and well-being.

Built with durability in mind, it’s a chair that will serve you well for the long haul. For those who value both form and function, the Steelcase Leap Task Chair is a top contender.

8. Herman Miller Sayl Chair: artistic craftsmanship with tailored comfort

Pros:

• Features the 3D Intelligent Back, Y-Tower, and ArcSpan
• Crafted using eco-friendly materials and features a ventilated unframed back
• Provides extensive adjustability and personalization options

Cons:

• Premium functionalities come at a high price

The Herman Miller Sayl Chair isn’t just about aesthetics; it’s a meticulously crafted piece that incorporates an ergonomic design with an array of features for unparalleled comfort. It’s an exceptional choice for a premium office chair for developers.

The Sayl Chair’s standout feature is its 3D Intelligent Back, which adjusts to your movements, ensuring optimal support at all times. It also boasts the Y-Tower and ArcSpan, which not only give the chair its distinctive look but also provide essential structural support.

Other notable features include its breathable, unframed back, keeping you cool during long work sessions. With a wide range of adjustability options, from seat angle and depth adjustments to harmonic tilt and varying armrest heights, this chair adapts to you.

FAQs

Why do programmers need ergonomic chairs?

Ergonomic chairs support the natural curve of the spine, reducing the risk of back pain and promoting comfortable seating during prolonged coding sessions.

Which is the best computer chair for long hours?

While all do a great job by being comfortable, if you’re extremely specific and want a chair ideal for long hours, we suggest the Sihoo Ergonomic Office Chair, Boss Task, Homall and Bosmiller Gaming Chair, and Herman Miller Sayl Chair.

What’s the advantage of a chair with a breathable mesh back?

Chairs with mesh backs allow airflow, keeping programmers cool and preventing sweat buildup during long work periods, making them ideal for extended computer use.

Can programmers use gaming chairs?

Yes, many gaming chairs offer ergonomic features suitable for long hours, provided they have good lumbar support and adjustability.

Wrapping up

In this compilation, we’ve presented top chairs suitable for developers, software programmers, and working professionals, categorized by their features and affordability. For a more informed choice, consider trying the chair in person before purchasing online, as personal preferences may vary.

If you seek affordability, the Herman Miller Embody is a solid choice, while the Steelcase Leap Task Chair is an excellent option for those prioritizing comfort and professionalism.

* Readers like you help support TheSweetBits. When you buy something through the links in this article, we may get a small commission at no extra charge to you.

<p>The post Best Chairs for Computer Programmers first appeared on TheSweetBits.</p>

RELATED: 8 Best Keyboards for Programming and Coding

Why do programmers tend to prefer Macs over PCs?

From my personal experience, I’ve used Macs for work and Windows PCs for freelance projects at home. This dual-platform exposure has provided me with insights into both operating systems, and if I were to make a choice, I’d lean towards Mac. However, it’s not just me, the primary motivations behind programmers favoring Macs over PCs include:

Apple Silicon

One of the standout reasons that lures programmers towards Macs is the introduction of Apple Silicon. While a decent processor might suffice for ordinary tasks, software development often demands more. MacBooks powered by the M1 and M2 chips offer exceptional performance, especially when compiling code, running multiple applications, or testing for concurrencies. These chips deliver both speed and energy efficiency, keeping temperatures low and noise minimal, resulting in a consistently smooth coding experience.

The Apple Ecosystem

The allure of the Apple Ecosystem is hard to ignore. Seamless file sharing through AirDrop, synchronized data across Apple devices, and effortless device switching make collaboration and productivity a breeze. For developers who love their headphones, the convenience of automatic device switching enhances their workflow.

The Operating System

macOS is renowned for its user-friendly interface, resembling the simplicity and fluidity of iOS. The integration between software and hardware is seamless, enhancing the overall user experience. Apple’s control over both aspects ensures a level of quality that competitors often struggle to match.

UI/UX Design

Programmers appreciate a well-designed operating system too. macOS boasts a modern and intuitive user interface, with uniform design principles followed across all apps. The Finder keeps files organized, and the dock provides quick access to frequently used applications and documents. Stage Manager, a feature on the left-hand side, streamlines multitasking and aids concentration.

Battery Life

When it comes to battery life, MacBooks are unrivaled. No Windows or Linux laptop can compete with the longevity of Apple silicon-powered MacBooks. This endurance ensures that you can code for extended hours without needing a power source, making MacBooks the go-to choice for programmers and those who value portability.

Keyboard and Trackpad

The comfort and efficiency of a keyboard and trackpad are paramount for software developers. MacBooks feature well-lit keyboards and precise, haptic trackpads that excel in gesture support. These factors contribute to a smoother workflow, as compared to some Windows laptops with mechanical trackpads that may lack accuracy.

Security and Stability

macOS, built on Unix, is synonymous with stability and security in the programming world. MacBooks are less susceptible to viruses and malware, thanks to Unix-based systems’ inherent security. Features like FileVault and GateKeeper further protect your computer. The App Store’s stringent app approval process adds an extra layer of security. Moreover, MacBooks experience fewer technical glitches and system crashes, offering a reliable coding environment.

RELATED: Best Mac for Programming and Coding

So, when do programmers use Windows PCs?

While Macs offer several advantages, Windows PCs have their own niche in the programming world.

Affordability

One significant advantage of Windows PCs is affordability. You can find budget-friendly Windows laptops starting as low as $200, whereas MacBooks typically start at $1000. For students or those on tight budgets, Windows PCs offer an accessible entry into the world of programming.

.NET and Game Development

Windows PCs shine when it comes to .NET development and game development. These areas often require Windows-exclusive tools and platforms, making them a natural fit for Windows enthusiasts.

Windows Subsystem for Linux 2 (WSL2)

Developers using Windows can now leverage WSL2 to run Linux applications seamlessly within the Windows 11 environment. This integration simplifies access to essential tools and applications, providing an efficient solution for programming needs.

RELATED: Best Laptops for Coding and Programming

Key takeaways

In the Mac vs. PC showdown for software development, both sides have compelling arguments. Macs excel in Unix-based stability, cross-platform compatibility, security, polished UI/UX, and build quality support. They remain the preferred choice for web developers and those coding iOS or macOS apps.

Windows PCs cater to .NET developers, game developers, and budget-conscious programmers. The affordability factor makes them an attractive option for beginners and those exploring the coding realm.

Ultimately, the choice between Mac and PC comes down to personal preferences, specific programming needs, and budget constraints. The software development world is diverse, and both platforms have their place in it.

Keep learning:

• How to Prepare Your Mac for Trading In or Passing Along
• Best Virtual Machine Software for Mac (Incl. M1 M2 Macs)
• How to Run Windows Apps on Mac (incl. M1 M2)
• How to Run Windows Games on macOS with CrossOver
• Best Platforms to Learn Programming

<p>The post Do Software Developers Use Mac or Windows PC? first appeared on TheSweetBits.</p>

However, with so many options on the market, choosing the right laptop can be overwhelming. From high-performance machines for heavy-duty tasks to sleek, portable options for those always on the move, there’s a lot to consider. And with technology constantly advancing, staying updated with the latest and greatest can be a challenge in itself.

TL;DR: The Top Laptops for Programming and Development Right Now: 

• Dell XPS 15: Best Overall Laptop for Programming
• Acer Aspire 5 Slim: Best Budget Laptop for Programming
• HP Victus 16: Best Laptop for Software Engineering Students
• LG Gram SuperSlim 2023: Best Portable Laptop for Developers on the Go
• ASUS ROG Zephyrus G14: Best Laptop for Intensive Game Development
• MacBook Pro 14 M2 Pro& Max 2023: Best Laptop for Mac Development
• HP Spectre x360 15: Best 2-in-1 Laptop for Developers

We’ve done the heavy lifting for you by curating a list of the best laptops for programming and development across various categories. Whether you’re on a budget, looking for a top-of-the-line model, or need something specifically for Mac development, we’ve got recommendations to fit your needs. Our picks are based on key factors like performance, battery life, and portability, ensuring you make an informed decision.

Best Laptops for Programming

Dell XPS 15: Best Overall Laptop for Programming

Specs:

• Display: 15.6-inch OLED panel with a 3.5K resolution.
• Processor: Intel’s 12th-gen Alder Lake H-series chips.
• Graphics: NVIDIA’s RTX 3050 Ti GPU.
• Memory: Options ranging from 8GB to 64GB of DDR5 RAM.
• Storage: PCIe 4.0 NVMe SSDs, with options ranging from 256GB to 2TB.
• Ports: Legacy and modern ports like Thunderbolt 4, USB-A, HDMI, and an SD card reader.
• Battery: 86Whr battery.
• Weight: 4.5 pounds.

Performance:

The Dell XPS 15 is a powerhouse when it comes to performance. The combination of Intel’s 12th-gen Alder Lake H-series chips and NVIDIA’s RTX 3050 Ti GPU ensures that the laptop can handle most tasks with ease.

Whether it’s gaming, content creation, or multitasking, the XPS 15 doesn’t disappoint. The PCIe 4.0 NVMe SSDs offer fast read and write speeds, ensuring quick boot times and rapid file transfers. The 86Whr battery provides decent battery life, allowing users to work for extended periods without constantly reaching for the charger.

Our Take:

The Dell XPS 15 continues the legacy of the XPS series by offering top-notch specs in a sleek and stylish design. The OLED display is a treat for the eyes, offering vibrant colors and sharp details. The inclusion of both legacy and modern ports is a thoughtful touch, catering to a wide range of users.

On the performance front, the laptop shines in almost every aspect, making it suitable for both professionals and casual users. However, like any product, it’s not without its flaws. Some users might find it a bit on the heavier side, and the price tag might be a deterrent for some. But if you’re looking for a premium laptop that doesn’t compromise on performance, the Dell XPS 15 (2023) is definitely worth considering.

Acer Aspire 5 Slim: Best Budget Laptop for Programming

Specs:

• Processor: Intel Core i5 12^thGen
• Memory: 16GB
• Graphics: Intel Iris Xe
• Storage: 512GB SSD
• Display: 15.6-inch, 1920×1080, 16:9, 60Hz
• Weight: 1.78kg
• Battery: 53Wh
• Ports: Type-A USB 3.2 Gen 1, Type-C USB 4/Thunderbolt, HDMI 2.1, and a 3.5mm audio jack.

Performance:

The Acer Aspire 5, powered by Intel’s 12^th Gen Core i5, is designed for general tasks rather than high-performance computing. For coding tasks that don’t demand heavy resources, like web development or scripting, the laptop performs adequately.

The 512TB NVMe SSD ensures quick access to projects and rapid compile times. However, for more resource-intensive tasks such as graphic design or video editing, the laptop might show some limitations. The fan noise is noticeable under load, but the laptop manages to stay relatively cool.

Our Take:

For developers who are looking for a reliable laptop for everyday coding tasks, the Acer Aspire 5 (2023) offers a balanced mix of performance and functionality. The Full HD display is decent for coding, though its color reproduction might not be ideal for graphic-intensive work. The keyboard layout, including the number pad, is spacious, making long coding sessions comfortable.

The touchpad is precise, but the click mechanism might feel a bit stiff for some users. One of the standout features is its battery life, which can last nearly 12 hours, making it suitable for developers who are on the move or prefer working in different environments. However, if you’re into heavy-duty game development or require high graphical performance, you might want to explore other options.

HP Victus 16: Best Laptop for Software Engineering Students

Specs:

• Processor: AMD Ryzen 7 5800H
• Memory: 32GB
• Graphics: NVIDIA GeForce RTX 4060
• Storage: 512GB PCIe NVMe M.2
• Display: 16.1-inch, 1920×1080, 16:9, 144Hz
• Weight: 5.40 lbs
• Battery: 70.9Wh

Performance:

The HP Victus 16 is a powerhouse when it comes to performance, especially considering its price point. For coders, this means faster compile times and seamless multitasking. The choice between Intel and AMD processors gives flexibility, catering to different coding needs and software compatibilities.

The laptop’s graphics capabilities, while designed for gaming, ensure that any graphical IDEs or virtualizations run smoothly. The SSD storage ensures that applications launch quickly, which is crucial for software development tools that can sometimes be resource-intensive. With up to 32GB of RAM, running multiple virtual machines or heavy IDEs simultaneously won’t be an issue.

Our Take:

While the HP Victus 16 is marketed primarily as a gaming laptop, its robust specs make it an excellent choice for programmers on a budget. The 16-inch display provides ample screen real estate, which is beneficial when juggling multiple windows or diving deep into lines of code. The keyboard is comfortable, ensuring that long coding sessions don’t become a strain.

However, it’s worth noting that the display, while decent, might not be the best for color-critical tasks. But for coding, it’s more than adequate. The build, predominantly plastic, might not exude a premium feel, but it’s sturdy and holds up well under daily use. In our experience, the HP Victus 16 strikes a balance between performance and price, making it a top contender for students seeking a machine that can do it all.

LG Gram SuperSlim: Best Portable Laptop for Developers on the Go

Specs:

• Processor: Intel Core i7-1280P
• Memory: 16 GB LPDDR4x
• Graphics: Intel Iris Xe Graphics
• Storage: 1 TB NVMe SSD
• Display: 14-inch OLED, 1920 x 1200 pixels, 400 nits brightness
• Weight: 990 grams
• Battery: Over 12 hours of usage
• Ports: 2 x Thunderbolt 4, 2 x USB 3.2 Gen 2 Type-A, 1 x HDMI, 1 x microSD card reader, 1 x 3.5 mm audio jack.

Performance:

The LG Gram SuperSlim, with its Intel Core i7-1280P, is tailored for developers who prioritize mobility without compromising on performance. For standard coding tasks, the laptop delivers smoothly, and the 1 TB NVMe SSD ensures rapid boot times and quick access to large projects. The OLED display offers vibrant colors and sharp contrasts, making coding a visual treat. While it handles multitasking with ease, graphic-intensive tasks might push its limits.

Our Take:

The LG Gram SuperSlim is a testament to how far ultraportable laptops have come. Its feather-light weight combined with robust performance makes it a top pick for developers who are frequently on the move. The OLED display is a highlight, offering crisp visuals, though developers working on color-sensitive projects might want to calibrate it to their liking.

The keyboard is tactile and comfortable for extended coding sessions, and the battery life is impressive, ensuring you’re not always tethered to a power outlet. However, for those who require top-tier graphical prowess or are into heavy 3D modeling, this might not be the first choice.

ASUS ROG Zephyrus G14: Best Laptop for Intensive Game Development

Specs:

• Processor: AMD Ryzen 9-7940HS (4.0GHz, Max Boost 5.2GHz)
• Memory: 32GB DDR5
• Graphics: NVIDIA GeForce RTX 4090 (16GB VRAM)
• Storage: 1TB SSD
• Display: 14-inch Mini LED, 2560×1600 resolution, 165Hz refresh rate
• Weight: 1.8kg
• Battery: 76Whr Li-Ion, lasting up to 6.5 hours of video streaming
• Ports: HDMI 2.1, USB 4, USB-C (3.2), 2x USB-A (3.2), 3.5mm audio in/out, microSD slot

Performance:

The Zephyrus G14, powered by the Ryzen 9-7940HS and paired with the Nvidia GeForce RTX 4090 GPU, showcases impressive gaming and multitasking capabilities. In benchmarks, it competes closely with other high-end laptops, excelling in games like “Rise of The Tomb Raider” with 206fps at its native resolution on the highest graphics settings.

The 1TB SSD ensures quick load times and smooth performance across tasks. While not a battery champion, it manages a respectable 6.5 hours of video streaming, which can be extended with lighter tasks and optimized settings.

Our Take:

The Asus ROG Zephyrus G14 (2023) is a marvel of engineering, packing high-end gaming performance into a compact 14-inch frame. Its display is vibrant and smooth, ideal for both gaming and coding sessions. The keyboard is robust and ready for long coding or gaming marathons, and the magnesium alloy build feels premium and durable.

While it’s on the pricier side, the balance of portability and power makes it a top contender for developers needing a machine that can handle intensive tasks without being tethered to a desk. However, the power connector’s design might be a concern for some, as it protrudes and could be prone to accidents.

MacBook Pro 14 M2 Pro & Max: Best Laptop for Mac Development

Specs:

• Processor: Apple M2 Pro and M2 Max chips
• Memory: Configurable up to 64GB
• Graphics: Integrated graphics
• Storage: Configurable up to 8TB SSD
• Display: Liquid Retina XDR display
• Battery: All-day battery life, up to 21 hours of video playback
• Ports: HDMI, SDXC card slot, MagSafe 3, Thunderbolt 4, 3.5mm headphone jack

Performance:

The MacBook Pro, with its new M2 Pro and M2 Max chips, delivers a performance that is unparalleled in the Mac line-up. It handles multitasking effortlessly, and demanding tasks such as video editing, 3D modeling, and software development are a breeze. The SSD speeds are top-notch, ensuring that applications launch in a snap and files are accessed without delay.

Our Take:

The MacBook Pro 14 & 16 M2 Pro & Max 2023 models are a testament to Apple’s engineering prowess. The Liquid Retina XDR display is a visual treat, making it perfect for developers who need accurate color representation. The keyboard is tactile and comfortable, ensuring that coding marathons are a pleasant experience. The inclusion of more ports is a significant improvement, reducing the dependency on dongles.

While the price might be on the higher side, the performance, build quality, and ecosystem make it a worthy investment for developers, especially those deeply integrated into the Apple ecosystem. The only potential drawback is the price, but for the features and performance on offer, it’s a worthy investment for professionals.

HP Spectre x360 15: Best 2-in-1 Laptop for Developers

Specs:

• Processor: Intel 11th Generation “Tiger Lake” Core i7
• Memory: 16GB RAM (base model starts with 8GB)
• Graphics: Intel Iris Xe integrated graphics
• Storage: 1TB NVMe SSD (base model starts with 256GB)
• Display: OLED touch panel with 3,000-by-2,000-pixel resolution
• Ports: USB 3.2 Type-A, two Thunderbolt 4/USB-C ports, audio jack, microSD card slot

Performance:

The HP Spectre x360 14, powered by Intel’s advanced “Tiger Lake” processor coupled with Iris Xe graphics, delivers an impeccable performance. It effortlessly manages multitasking, web browsing, and even intensive tasks such as photo editing. The inclusion of a 1TB NVMe SSD guarantees swift application startups and rapid file retrieval. As highlighted in various reviews, the laptop’s benchmark results underscore its proficiency in executing diverse tasks seamlessly.

Our Take:

The HP Spectre x360 14 (2023) distinguishes itself not solely based on its performance metrics but also through its design aesthetics and display quality. Its screen, with a 3:2 aspect ratio, provides an enhanced viewing area, which is particularly beneficial for developers who frequently juggle multiple windows or navigate through extensive lines of code. The OLED display panel ensures a captivating visual experience, characterized by vivid hues and crisp details. In terms of design, the laptop exudes elegance while ensuring practicality, fortified by a robust build and an array of connectivity options.

The keyboard, albeit having a unique arrow key layout, facilitates a pleasant typing experience. For enhanced security and convenience, the laptop incorporates both a fingerprint scanner and an IR facial recognition system. Positioned as a premium offering, the HP Spectre x360 14’s amalgamation of performance, design, and features positions it as a prime contender for developers in search of a multifaceted 2-in-1 device.

FAQs

What specifications should I prioritize for programming?

For programming, prioritize a powerful processor (like Intel i7 or Ryzen 7), a minimum of 16GB RAM, and a fast SSD. A dedicated GPU is essential if you’re into game development or graphic-intensive tasks.

Is a dedicated GPU necessary for coding?

Not always. A dedicated GPU is crucial for game development, machine learning, or tasks that require graphic-intensive computations. For general coding, an integrated GPU like Intel’s Iris Xe is sufficient.

How important is battery life for a developer’s laptop?

If you’re a developer on the move or prefer working in different environments, a long battery life is essential. However, if you primarily work from a desk near a power source, it might not be a top priority.

Does screen size and resolution matter for coding?

A larger screen or dual-monitor setup can improve productivity by offering more screen real estate for multiple windows. A higher resolution provides clearer text and graphics, reducing eye strain during long coding sessions.

Are 2-in-1 laptops good for programming?

2-in-1 laptops offer versatility, and many come with powerful specs suitable for programming. However, ensure the model you choose doesn’t compromise on key specs for the sake of convertibility.

How crucial is the keyboard quality for coding?

Extremely. Developers spend hours typing, so a comfortable, tactile keyboard can make a significant difference in productivity and reduce the risk of repetitive strain injuries.

Mac or Windows for development?

It depends on your preference and the development environment. Macs are preferred for iOS development, while Windows offers more versatility. Linux is also a popular choice among developers.

Wrapping Up

Choosing the right laptop for programming and web development is a blend of understanding your specific needs and knowing what the market offers. Whether you’re a student just starting, a web developer, or a professional diving into intensive tasks, there’s a laptop out there tailored for you.

Remember, it’s not just about the specs but also about comfort, durability, and, of course, your budget. With the myriad of options available today, armed with the right knowledge, you can make an informed decision that will serve you well in your coding journey.

Keep learning:

• Best Keyboards for Programming and Coding
• Best Mac for Programming and Coding
• Best Platforms to Learn Programming
• 25 Mac Apps for Students – Productive Study Guide

* Readers like you help support TheSweetBits. When you buy something through the links in this article, we may get a small commission at no extra charge to you.

<p>The post Top Laptops for Programming and Development first appeared on TheSweetBits.</p>

RELATED: Best Keyboards for Programming and Coding

Choosing the best Mac for programming and coding

Of course, you have to consider a couple of aspects while making the selection.

Before all these, you also have to decide whether you are sticking to a compact notebook or something of a desktop option, like the Mac Pro.

• Mac Desktops vs Laptops

The decision that you make between Mac desktops and laptops is also important when it comes to the workflow. While Mac laptops, also known as MacBooks, are designed to give you the freedom of mobility without compromising performance, this may not always be your priority.

So, in cases where you need maximum performance without being reliant on the power supply and the battery life concerns, you might have to choose a Mac desktop. On the bright side, you have a couple of options to choose from, including the iMac and the Mac mini lineup.

• Performance Requirements

You should be careful while determining the performance that you believe you need for programming and coding. While we have to agree that coding and programming require good performance and speed, the numbers in this matter are not uniform. On the other hand, you have to consider your workflow.

• A Word on Apple Silicon

After the transition to Apple Silicon, choosing between the Mac models in terms of performance and efficiency has become an easier task. When you think about it, the M1/M2 chips on the newly released Apple Mac devices are known for their efficiency and performance.

• Importance of Accessories

There is also something that most people forget about while preparing a device for coding or development purposes. The overall coding experience that you get from a device is not just about the hardware, but also about the accessories that you use.

For instance, a great keyboard optimized for coding is always a necessity if you want to have maximum efficiency. Similarly, you will have to choose between a trackpad or a professional mouse if you would like to optimize your workflow, even on a Mac. Therefore, you should plan your budget accordingly.

With these core points in mind, we have selected seven Mac models that we consider are the best options for programming and coding in 2023. We have included only the models that Apple officially sells, and they have been taken from different price ranges. So, there are options for first-time Mac buyers as well.

Best Mac for programming/coding

• Best overall: M2 MacBook Air 15-inch
• Best for multiple development projects: M2 MacBook Pro 16-inch
• Performance-focused Mac desktop: Mac Studio
• Best reasonable Mac desktop: iMac 24-inch
• Cheapest Mac for programming: M2 Mac mini
• Best for iOS/macOS development: M2 Mac Pro

#1 M2 MacBook Air 15-inch: Best overall

The recently released M2 MacBook Air 15-inch is arguably the best Mac you can purchase for programming and coding in 2023. One of the most-awaited devices from Apple, the new MacBook Air brings a rather fresh balance between performance, screen real estate, and battery life. Since it follows the compact design style of the original M2 MacBook Air, professionals can easily carry it around.

• Specifications

As clear from the name, the M2 MacBook Air 15-inch is powered by the Apple M2 chip. This Apple Silicon-based chip has an 8-core CPU and a 10-core GPU. The base model comes with 8 GB of Unified Memory, but you can upgrade it to up to 24 GB. You can equip the device with up to 1 TB of SSD storage space as well.

In terms of the display quality, the M2 MacBook Air 15-inch doesn’t disappoint, either. You get a 15.3-inch LED display with Retina resolution. On the connectivity side, the 15-inch MacBook Air retains the two USB-C Thunderbolt 4 ports and a MagSafe connection for charging. It is available in four different finishes.

• Performance

The performance that you can expect from this 15-inch MacBook Air M2 is the best in the industry, especially considering the price you have to pay for it. Even as you use the device for development and coding, you can expect it to multitask very well. It is not something we can say about the Windows laptops of the same price.

We should also consider that development platforms and IDEs are better optimized for macOS and the M1 and M2 chips from Apple. Therefore, you can expect a superior coding experience using this well-balanced MacBook. Of course, the 15-inch display in the package is one of the best you can expect from the industry.

• Our Take

Overall, we believe that the M2 MacBook Air 15-inch is one of the best MacBooks you can buy, not just for programming and coding. For programming and coding is concerned, the device is apparently the best choice as you need balanced performance and a compact design. On a related note, the performance from the M2 chip seems sufficient for most users.

#2 M2 MacBook Pro 16-inch: Best for multiple development projects

We already picked the M2 MacBook Air 15-inch as the best overall Mac for programming. However, if you need enough performance for versatile coding projects and a bit of development on the side, we recommend that you go for the M2 MacBook Pro 16-inch. This device combines the best performance that you can get for the price without being too bulky so that you can carry around your workspace as much as you like.

• Specifications

In terms of specifications, the M2 MacBook Air 16-inch offers multiple options. The base model comes with an M2 Pro chip, which has a 12-core CPU and a 19-core GPU. However, if you want to maximize the specs, you can power it with an M2 Max chip and 32 GB of Unified Storage.

Regardless of the option, all these models come with 3 Thunderbolt 4 ports, enough connectivity options, and a 140W USB-C power adapter. Ideally, the Force Touch trackpad and the 16-inch display offer the best working conditions for various development requirements.

• Performance

The M2 Pro chip is one of the most powerful chips that you can get from the Apple Silicon lineup. So even if you don’t upgrade the machine to an M2 Max chip, you can get incredible performance for all your development projects.

You should also keep in mind that this device is widely used as a workstation laptop for video editing. Therefore, from a performance point of view, the M2 MacBook Air 16-inch will not disappoint you. It did not disappoint us either when we tested it with multiple coding projects and a tougher level of multitasking.

• Our Take

When you need a laptop that you can use for iOS development, macOS, app creation or some high-end web design, you can consider getting the M2 MacBook Pro 16-inch. The additional screen space and the performance that the device offers are indeed a long-term investment for most people. Considering that we are getting the high-end model of the chip, you can expect the device to work for the years to come.

#3 Mac Studio: Performance-focused Mac desktop

Let’s say that you want to embrace the benefits that a Mac desktop can offer. In that case, Mac Studio, which is running the latest M2 Max (or Ultra), is a great option for programming and coding. The device, despite its compact design, offers so much performance that you can set up your entire workstation based on one of the units with multiple display outputs and additional hardware.

• Specifications

The base model of the Mac Studio ships with an Apple M2 Max chip, which packs a 12-core CPU and a 30-core GPU. When combined with a 16-core Neural Engine and 400 GB/s bandwidth, this machine can debug even the longest lines of code with. The base-line model comes with 32 GB of Unified Memory as well.

The good thing about the Mac desktop is that you can choose a display of your choice. Depending on whether you have the M2 Ultra chip, you can connect to eight displays to the Mac Studio. Therefore, from an ultra-smooth workflow point of view, the specifications of the Mac Studio are impressive.

• Performance

Even the base model of the Mac Studio is one of the best performing Macs you can buy in 2023. Even when you don’t add more RAM or a powerful CPU, the Mac Studio can handle almost everything you throw at it. Including but not limited to heavy development projects and advanced simulation tasks.

You also have the benefits of setting up multiple displays according to your workflow. This, when combined with the well-optimized apps you get on macOS, makes Mac Studio one of the perfect desktop workstations a coding professional can dream of. As far as hands-on experience goes, Mac Studio did not ever let us down.

• Our Take

After considering its unparalleled performance and the other advantages of input-output and the compact design, we very much like to recommend the Mac Studio for coding and programming experts. Though it is noticeably more expensive than the Mac Mini, the performance upgrade that you can expect even from the baseline model is transformative, to say the least.

#4 iMac 24-inch: Best reasonable Mac desktop

If you do not want to spend on a separate display and want a more compact Mac overall, you should definitely consider the iMac 24-inch. Compared to how much you have to pay for other devices on the list, we believe the iMac 24 inch is one of the most reasonable Mac desktops you can get for programming and coding. And the Apple Silicon transition has made it even more powerful.

• Specifications

The iMac 24 inch comes with an Apple M1 chip with an 8 core CPU and an 8 core GPU, and you can add up to 16 GB of Unified Memory to the package. Everything is shown on a 4.5K Retina display, which is just impressive. You would also love to know that the device comes in different finishes.

Even though the connectivity options are not as advanced as the Mac Studio, you get two Thunderbolt ports that you can use for expansion. You can also combine the iMac 24-inch with the Magic Keyboard and Magic Mouse for an additionally smooth macOS experience.

• Performance

Like the many other products on this list, the 24-inch iMac is also made for a balanced macOS experience. So as a programmer or coder, you get the benefits of this smooth workflow, but the actual experience of performance will depend on the applications that you use

Another impressive part about performance on the M1 chip is that it can be quite scalable. Therefore, your Mac can use its cooling system and other methods to make sure that you are never throttled. We must also add that the Retina display panel offers plenty of screen real estate.

• Our Take

While we understand that the 24-inch iMac is not the most powerful Mac, it is definitely one of the best options out there. If you are getting started with a Mac and do not have a particularly high budget, this package brings everything together. You even get the keyboard and mouse included, which is great if you want to establish a smooth workflow, as we said.

#5 M2 Mac mini: Cheapest Mac for programming

The Mac mini has always been one of the most affordable Mac options out there. And with the latest model, which is the M2 Mac mini, the performance standards of the device have definitely gone up. Therefore, if you want to have a very budget-friendly Mac setup for development and coding, you should consider the M2 Mac mini. Even when you add accessories to the package, you the workstation will cost less than $1000.

• Specifications

For reference, the M2 Mac mini ships with an Apple M2 chip, which is equipped with an 8 core CPU and 10 core GPU. But you also have an option to either increase the cores of the CPU or go for the M2 Pro chip, which would double the cost of the system.

The base model of the M2 Mac Mini comes with 8 GB of unified memory, and you can add several TBs of SSD storage space as you may need. Just like the Mac Studio, the Mac Mini does not have a built-in display. It lets you build a more suitable combination of display, keyboard, and mouse as per your workflow.

• Performance

Compared to the M1 Mac mini, the M2 Mac mini presents a noticeable leap in performance. However, Apple has kept the price almost the same, which is impressive. So, you get scalable and reliable performance for all your coding projects without worrying about glitches.

The multi-display compatibility of the M2 Mac mini is also a great option. It can handle two display units with ease, and the versatile connectivity options on the rear side are also practical. As a professional, you even have an option to take the unit somewhere.

• Our Take

When you don’t want to spend a lot on a Mac for website development and coding, the M2 Mac mini makes a lot of sense. Like the MacBook Air 15-inch, the M2 Mac mini brings a balance of performance and compactness—in the desktop sector. At the end of the day, this device will not let you down while managing multiple coding projects or simulations.

#6 M2 Mac Pro: Best Mac for iOS/macOS development

Let’s say that you don’t have any restrictions in terms of budget. Let’s also imagine that your development projects require the best performance that money can buy. In this particular instance, you should consider getting the M2 Mac Pro, which is the most powerful machine from Apple that you can buy right now. But you must be ready to pay a hefty amount for it.

• Specifications

Powering the entire system of the Mac Pro is an Apple M2 Ultra chip, which comes with a 24 core CPU and a 60 core GPU. You also get a 32-core Neural Engine, which is useful for heavy coding projects. The base model comes with 64 GB of Unified Memory, but you can upgrade it up to 128 GB as per your requirements.

The tower-shaped Mac Pro does not come with a built-in display, but you can equip it with any of the displays available. As far as the compatibility goes, you can connect to 8 displays at the same time via Thunderbolt and HDMI. You also have an option to expand these options thanks to PCI Express Gen 4 slots.

• Performance

One thing we can say about the performance of the Mac Pro is that it will never be insufficient. As you can imagine, the system has been designed for film editors who need plenty of resources. They are 10 or 100 times what you need as a coder or developer.

Therefore, in terms of the performance alone, we will have to recommend the Mac Pro for those who handle multiple roles. For instance, if you are into development but also have to take care of some video editing gigs on your site, the Mac Pro with the M2 Ultra Chip is a great option for you.

• Our Take

Though Mac Pro powered by the M2 Ultra chip from Apple is an overkill for most people, it is useful when you need the best environment for iOS/macOS development and simulation. It is also an investment in terms of scalability and performance. At the same time, you should ensure that you need the unique features of the Mac Pro. For instance, if you don’t need expansion, you are better off with the Mac Studio.

FAQs

Now, we shall answer some questions you may have.

Which Mac is best for programming?

Unfortunately, there is not a single Mac device that we can recommend as the best choice for programming and coding. Instead, you have multiple options depending on your budget and preferences.

For instance, if you are looking for a MacBook that you can carry around for development, you are good to go with the 14-inch MacBook Air powered by the M2 chip from Apple.

On the other hand, when it comes to having a Mac desktop for programming and coding, you have multiple options starting with the Mac Mini, then the Mac Studio, and on top of the line, the Mac Pro.

Is Mac suitable for coding?

Mac is definitely suitable for coding and there are thousands of developers who prefer having a MacBook over a Windows laptop when it comes to coding. There are multiple reasons, one of them being the greater level of compatibility that Mac offers with multiple programming languages.

Therefore, even when you want to code on a laptop, you can expect the maximum battery backup without compromising the whole performance aspect. Considering how long these devices last and the scalability that they offer, investing in a Mac is one of the best things you can do as a programmer or coding expert.

Is the M1 MacBook Air good for coding?

The M1 MacBook Air is definitely a suitable option for coding, but we have not included it on the list because it’s an older model. However, if you have a short budget and find a good deal on the M1 MacBook Air, you should definitely get it because of the performance it offers.

Even though Apple has stepped up the performance game with the M2 range and, of course, the new M3 lineup, M1 still packs a lot of performance that you can use when it comes to development and coding, and even a little bit of video editing.

RELATED: M1 Max vs M2 Max vs M3 Max Macbook Pro: A Performance Showdown

The bottom line

We have tried to create a comprehensive list of the best Mac models available and suitable for coding and development. While the list is not exhaustive, these are the best Macs you can buy in the current situation. For instance, we have included older versions that are running the older models of the Apple Silicon chips.

At the same time, we believe we have left enough options if you are choosing between desktop and laptop options. And we will make sure that the list is updated as and when Apple rolls out their next lineup of MacBooks, Mac Mini and Mac Studio.

* Readers like you help support TheSweetBits. When you buy something through the links in this article, we may get a small commission at no extra charge to you.

<p>The post Best Mac for Programming and Coding first appeared on TheSweetBits.</p>