I'm curious if people are successfully using AI tools for pull-request reviews. I know Copilot is great for writing code, but it doesn't seem to help much during the review process. I'm looking for recommendations on AI tools that can summarize changes, highlight potential issues, or catch missing edge cases. What are your experiences?
5 Answers
We've recently started using Cursor AI's bugbot and it's been pretty successful for quality code reviews. Definitely worth trying out!
We've hooked up Gemini for reviews, and it does a decent job. It's not perfect and we have human reviewers still involved, but it's pointed out some subtle bugs that even the humans missed, which is nice.
Honestly, we haven't found any AI that can handle reviews well at scale. There are so many nuances AI doesn't pick up on, like understanding class modifications or the context of related changes by other developers.
We've been using Code Rabbit, and it's been pretty helpful. We let it do the initial review before any human takes a look, which helps catch issues early on.
Our team uses both Code Rabbit and GitHub Copilot. I think Copilot excels in leaving actionable comments, while Code Rabbit provides a detailed summary. We don't put too much weight on its comments, but the summaries are super useful for giving us context before our human reviews.
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