--- title: "The first really useful AI tool: AI code review" description: "My experience with CodeRabbit, an AI code review tool that actually adds value to pull requests โ€” what it catches and where it helps, with real examples from my pull requests, and what it costs." canonical: "https://asmyshlyaev177.dev/blog/first-really-useful-ai-tool-ai-code-review" published: "November 14, 2024" tags: ["AI", "Code review"] --- # The first really useful AI tool: AI code review > My experience with CodeRabbit, an AI code review tool that actually adds value to pull requests โ€” what it catches and where it helps, with real examples from my pull requests, and what it costs. --- Finally, I found at least 1 really useful AI service. ## The service It's called [**CodeRabbit**](https://www.coderabbit.ai/), the idea behind it is pretty simple, AI review code changes and give you recommendations how to fix it with explanation. AI is working as pattern recognition, so, it's perfectly suitable for recognizing antipatterns in pull requests. ## How it looks like After PR created, GitHub action run and analyze changes. It's post summary like this: ![PR review summary](https://asmyshlyaev177.dev/_astro/2p6301wyhgsjs7qei327.CfJRy6qR.png) The second comment contains recommendations: ![PR review 1](https://asmyshlyaev177.dev/_astro/os86sp9ccna5faqpbj43.CYYjCG4Q.png) ![PR review 2](https://asmyshlyaev177.dev/_astro/l2pt8qk7jwuvtxayim08.B_oCoy50.png) ## Conclusion This service already found few minor mistakes that I missed. Definitely worth trying. Reviewing PRs is a very tedious task, AI can actually help with it. Of course there are probably 3 useful comments out of 10, but it is very similar with human reviewers, e.g. they're either nitpicking the every line or blindly approve huge PR. Treat such comments as possibly useful recommendation, not like obligation to fix everything. ## Price Currently, you can use it for free with basic functionality, and 12$/month for Pro version. Probably, this promotion-like pricing will change in the future, but again, worth giving it a try. --- Author: Aleksandr Smyshliaev โ€” More posts: ยท Site summary for LLMs: