Ask HN: What tools are you using for AI-assisted code review?
My team (around 40 people who write code) is evaluating tools for AI-assisted code review. The market appears to be rife with options, so before starting a series of free trials, I’d like to ask a knowledgeable crowd.
What tools or services are you using? Do you use them just for code review, or for other purposes as well, such as incident response or branch management? Why did you choose them, and what do you like or dislike about them?
Besides local review via codex and Claude code, we are using GitHub Copilot with custom instructions. We just assign it as a reviewer in GitHub and a couple minutes later, the review is done. It raises a lot of issues which are valid and which I never had found. https://docs.github.com/en/copilot/tutorials/customize-code-...
Opencode, mainly because I appreciate how one of the founders treats the UX as a first class concern. Its a great tool to learn since it can help us pivot from the potential impending provider crisis where teams may start having to consider things outside of the large labs.
As my daily driver at home, I use Pi though because it doesn't get in your way and forces you to understand how the sauce is made.
I don't use these tools, but wouldn't it be better to use them only after you do a manual review to see if they find anything you missed? Otherwise I could see reviewers getting false confidence and doing a less thorough review. This happens with seeing that unit tests pass.
Codex on top of that with specific rules and syntax requirements.
As my daily driver at home, I use Pi though because it doesn't get in your way and forces you to understand how the sauce is made.