
AI Code Reviews
AI Code Writers & Generator Tools
AI Code Reviews helps teams speed up pull request reviews with context-aware, line-by-line feedback and a chat bot for follow-ups.

What does AI Code Reviews do?
AI Code Reviews is an AI-powered pull request reviewer designed to cut code review time while helping catch bugs before changes merge. It provides context-aware feedback across your diff with line-by-line suggestions, plus a chat interface to discuss review findings and iterate.
In addition to PR-stage review, it’s available across common developer workflows, including IDE and CLI. Reviews can include a TL;DR-style summary of changes, a walkthrough, and additional context to help you focus on the issues that matter.
You can also tailor how the agent reviews by configuring coding guidelines and workflow instructions in a YAML file, then improve future reviews by giving feedback on prior outcomes. The tool supports pre-merge finishing touches like custom checks, unit test generation, and docstring generation, while emphasizing security and privacy with an architecture built to keep code private during reviews.
What does an AI code review focus on?
It analyzes your pull request diff and provides context-aware feedback with line-by-line suggestions, aiming to flag bugs and issues humans might miss while skipping noise.
Where can I use AI Code Reviews?
You can review at the PR stage, and you can also use it in your IDE and CLI as part of your workflow.
Can I customize the review style and rules?
Yes. You can configure coding guidelines and workflow instructions (in a YAML file) so the agent reviews in the way your team expects.
How does the review chat help?
Use the CodeRabbit bot chat to give feedback on reviews and discuss findings; responses can be used to guide future reviews.
Does it help with pre-merge checks like tests and documentation?
Yes. You can create custom pre-merge checks and use features like unit test generation and docstring generation to improve readiness before merging.
How is code privacy handled during reviews?
The tool uses end-to-end encryption for reviews and is designed for private code with zero data retention post-review, with enterprise validation via SOC 2 Type II audits.