It comes as no surprise that AI has become one of the leading tools in software design, creation, and innovation. Here are a few of the best AI tools you can use to take your software development to the next level. 

Let’s dive in!

List of next-gen AI Tools

Here are some of the hottest next-gen AI tools in 2025!

Claude

Claude has skyrocketed in popularity over the past year, with many developers now using it on a day-to-day basis. In simple terms, Claude automates tasks like generating, debugging, and refactoring code. 

Whether it be enterprise risk management software or a simple productivity app, Claude acts as a combination of a mentor and an assistant, creating code from natural language that is debugged and working from the start. 

Pieces

Pieces is a brilliant free tool for individuals, which is designed to improve your efficiency and collaboration abilities by allowing you to save, enrich, reference, reuse, and search your code snippets in a far more organized way. 

One of the most significant benefits of using Pieces is that it has a nine-month-long memory, allowing you to use it across even the biggest of projects. 

Tabnine

Tabnine shines in the area of code completion based on the context of what you are doing. Not only does this make you far more efficient, but it also allows you to speed up the more tedious and repetitive strings of code you may have. 

In addition, it supports over 25 different coding languages and is trained in both open source and proprietary coding, limiting mistakes. Finally, the natural language processing capabilities mean it can understand and generate code based on human-like instructions. 

ChatGPT

While not the very best tool on this list, ChatGPT is still beneficial when it comes to providing code clarifications and frameworks of code. While there are better tools for more established developers, ChatGPT has been shown to be very useful for beginners. 

By inputting prompts, it will lay out code in an easy-to-read and understand fashion that can be copied and pasted. You can also prompt it to create code in different languages, providing a better understanding of how languages differ. 

GitHub Copilot

GitHub Copilot stands out from the crowd as one of the most widely used AI tools on the market, with over 1 million individuals using it daily, and 20,000 organizations adopting it. Its primary use is to auto-complete your code within your IDE. 

Finally, GitHub Copilot has been shown to take productivity to the next level, accelerating the pace at which programmes are being created. It has exceptionally useful features like pull request summarization and code review suggestions. 

Kombai

Kombai is made for front-end developers, as it’s a tool that automates the conversion of design files into ready-to-use code. The best part is that the tool uses design files as they are, allowing you to quickly implement more basic code and focus on the complex tasks. 

While the tool is clearly exceptionally useful, it should be noted that the AI still struggles with some font conversions; however, the fixes are typically fairly quick and easy. Lastly, it also requires the design files to be clear and precise, or you will encounter some bugs in the code that just won’t convert or work. 

Sourcery

Sourcery is a tool that works in conjunction with GitHub and acts as a reviewer that scrutinizes pull requests for security and quality. It provides reviews and comments for all pull requests, allowing you to speed up your own review process. 

A few pros of Sourcery are that it can accelerate development, it’s exceptionally flexible and easy to implement, and there are a few free features for open-source coding. However, some users have said that it can oversimplify code at times, and occasionally takes quite a long time to do a review. 

CodiumAI

Once you have done your coding, you want something that can debug and test what you have created, that is where CodiumAI comes in. Simply put, CodiumAI creates meaningful tests that will ensure your code is acting and behaving how it should. 

One major benefit is that it generates highly contextual use cases, not just generic ones that could lead to mistakes. On the downside, some users report that it can generate too many suggestions, with some being contradictory. 

Motion

Finally, you can never go wrong with a solid and reliable task manager, and that is why you need Motion. Ideal for busy developers who sometimes feel like they are drowning in tasks, Motion acts as an AI executive assistant that automatically organizes your tasks and projects. 

Additionally, it links with your calendar to integrate your schedule, allowing you to clearly plan when you should work on a task and stay ahead of deadlines. One of the only downsides is that it works better for individuals and smaller teams, but this will likely not be an issue. 

Related articles:

• Motion App Review: My $348 Experience and Why I Don’t Regret It
• Motion vs Notion: Why I use BOTH (2025)
• Motion vs Asana | A Honest Comparison (2025)
• Motion vs ClickUp | An Unfiltered Comparison (2025)
• Reclaim AI vs Motion: I Tried Both and Found The BEST (2025)

Summary

In conclusion, these are only a few of the AI tools that can help software developers, whether you are just starting your career or in a senior position. There are plenty more out there, but these are the ones you should most definitely try sooner rather than later.