AI Code Review

AI code review tools read your pull requests and comment before a human reviewer does. They flag likely bugs, security problems and departures from team conventions, and many now also check code before a pull request is opened. As coding agents write more of the code, review has become the bottleneck these tools aim to ease — they support human judgment at merge time; they do not replace it.

How to choose:

• Git platform support: confirm the tool works with your host — GitHub, GitLab, Bitbucket or Azure DevOps — and with your CI.
• Signal versus noise: look for configurable rules, learnings from dismissed comments and severity filters, so reviewers are not buried in nitpicks.
• Data handling: check code retention, model training policies and whether a self-hosted option exists if you need one.
• Pricing model: per-seat, per-review or usage credits each scale differently as your team and pull request volume grow.

Our reviews: CodeRabbit, Greptile, Graphite.