6 Best AI Developer Tools for Code Reviews and Testing in 2025

The way we review and test code is undergoing a transformation, driven by powerful AI tools that are making software development faster, safer, and more efficient in 2025. Traditional manual reviews and tedious testing cycles are giving way to intelligent, automated systems that catch bugs, ensure code quality, and boost developer productivity. From Ellipsis, with its automated code reviews and proactive bug fixes, to Greptile’s context-aware PR feedback, these tools are streamlining every step of the development workflow. Platforms like Stably and Tusk leverage AI to revolutionize QA testing, eliminating regressions and dramatically improving test coverage. Meanwhile, mrge and Benchify raise the bar even higher by accelerating the review process and using formal verification methods to identify elusive, critical vulnerabilities. In this article, we’ll explore the six best AI-powered developer tools transforming code reviews and testing, empowering teams to ship better software with confidence and speed.

Ellipsis

Ellipsis.dev is an AI developer tool that does automated code reviews and bug fixes. It's designed to help software engineers be more productive. It automatically reviews code and fixes bugs on pull requests. It looks like it can also answer questions, create release notes, help with feature development, and even fix build issues. They're really focused on security too, saying they don't retain your source code and will never commit code without your permission.

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Greptile

Greptile is an AI code review bot. It helps you automate your PR reviews, catch more bugs, and improve code quality using AI. Basically, it understands your whole codebase and gives you context-aware comments and quick fix suggestions. The main idea is to help software teams ship faster without breaking things and merge PRs 4X faster. They support a bunch of languages, and it looks like they're big on security too.

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Stably

Stably is an AI-powered tool that helps you automate the QA testing of your web apps, so you can test them faster and more efficiently. It's built to help you ship faster with confidence. You can create tests in plain English using their no-code editor, and the AI will help keep the tests up to date even when your app changes. Looks like the main idea is to stop using your customers as the QA.

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mrge

Mrge is code review for the AI era. It helps software teams ship higher-quality code 4x faster. The main idea is immediate AI feedback on every pull request, learning from your codebase. They're calling it "Linear for code reviews" – implying faster reviews, fewer bugs, and more time to build. The big focus seems to be on accelerating team velocity and streamlining the code review process.

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Tusk

Tusk is an AI-powered unit testing tool that helps you prevent costly regressions. It generates unit and integration tests using your codebase and business context, so you can increase your team's code coverage. It looks like the main idea is to help teams ship faster and safer by finding bugs in your code and giving verified suggestions, and also helps enforce better testing habits.

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Benchify

Benchify helps you write bulletproof code without all the usual complexity. It's a tool that uses formal methods to make sure your software is high-quality and reliable. Looks like the main idea is to avoid critical bugs that normal testing might miss, helping you prove your code is secure against attacks and ultimately ship better code, faster.

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The landscape of code reviews and testing in 2025 is dramatically different—and better—thanks to powerful new AI developer tools. Ellipsis and Greptile are reshaping how teams approach pull requests, offering smart, automated reviews and faster bug fixes. Stably and Tusk are elevating the QA and testing process, reducing the burden on developers and ensuring fewer bugs reach production. Meanwhile, mrge and Benchify are pushing boundaries even further, enhancing developer velocity and proactively protecting software through advanced verification methods. Whether you’re aiming to speed up your workflows, boost code quality, or simply ship with greater confidence, these AI-driven tools represent the future of software development. It’s time to embrace automation, empower your team, and deliver your best code yet—faster than ever.

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