Cut code review time & bugs in half, instantly.
Reviews for AI-powered teams who move fast (but don’t break things)
2-click install
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The leader in AI code reviews
Trusted by 15,000+ customers
“We're using CodeRabbit all over NVIDIA”
Jensen Huang
Founder & CEO, NVIDIA
Code reviews were hard before. Now, they feel impossible.
Your team moves fast with AI. But fast shouldn’t mean sloppy. We make sure every line still earns its merge.
Faster reviews + better code.
We do the heavy lifting & spot the hard to find issues. You do the final 10%.
See a sample review
Catch fast. Fix fast.
1-click commits for easy fixes and a “Fix with AI” button for harder ones.
TL;DR for your diff.
Quick context with a summary of changes, a walkthrough & an architectural diagram.
Find the bugs. Skip the noise.
We find bugs humans miss – & flag the time consuming and tedious. Without the noise.
Chat with the CodeRabbit bot directly.
Give feedback on reviews to create Learnings. Or create issues, trigger docstrings & more.
Most customizable tool.
Customize everything from your coding guidelines to your workflow in a yaml file.
The reports you need.
Automate the creation of your daily standup reports, sprint reviews, and more.
The only tool that reviews everywhere you work.
Review at the PR stage or directly in your IDE & CLI
Industry-leading context.
Codebase-awareness is tablestakes. We pull in dozens more points of context than other tools.
See a sample review
1. Codebase intelligence
Codegraph and custom guidelines help us understand complex dependencies across files to uncover the impact of changes.
2. External context
We bring the right context via MCP servers, Linked Issues (Jira & Linear) & Web Query (to fetch the latest info on the web).
3. Linters & Scanners
40+ linters and security scanners catch more bugs – while we filter out the noise from false positives.
Code reviews that learn from you.
Set the baseline with your rules and style guides, then train the agent with feedback via replies. Reviews improve continuously.
Ship faster with pre-merge checks & finishing touches.
Save hours of work and make sure your code’s ready to ship.
Custom checks
Create your own pre-merge code quality checks in natural language.
Unit test generation
Check test coverage and immediately generate any missing tests.
Docstring generation
Create docstrings to make it easier to understand the file in the future.
We take security seriously.
Architected for security
We protect your code and privacy with an architecture designed to ensure your code is private.
SSL encrypted data
End-to-end encryption protects your code during reviews with zero data retention post-review.
SOC 2 Type II certified
Enterprise-grade security validated annually through independent SOC2 Type II audits.
Why teams prefer CodeRabbit
Before CodeRabbit, quality depended on who reviewed your PR. Now, the bar is the same for everyone.
love how deeply it analyzes code… It spots potential errors more often than other tools.
Since adopting CodeRabbit, our confidence is up and our bugs are down; it catches the edge cases humans skim past and helps us merge faster with more confidence.
CodeRabbit routinely catches off-by-ones, edge cases, and even spec/security slips before they hit production.
Writing code faster was never the issue; the bottleneck was always code review. I feel like CodeRabbit is solving that one problem and that was attractive. Why not solve that problem before we use a coding agent?
The feedback I get from developers is that they like that it shows them typo errors, null pointers, and static code. It's the edge scenarios that are usually difficult to catch. It's a good tool to get these edge scenarios.
The differentiator isn't generating code, it's governing it. AI accelerates teams, but without guardrails, you only ship bad code faster. CodeRabbit gave us a non-negotiable review layer across repositories that reduced risk while increasing speed.
Before CodeRabbit, quality depended on who reviewed your PR. Now, the bar is the same for everyone.
love how deeply it analyzes code… It spots potential errors more often than other tools.
Since adopting CodeRabbit, our confidence is up and our bugs are down; it catches the edge cases humans skim past and helps us merge faster with more confidence.
CodeRabbit routinely catches off-by-ones, edge cases, and even spec/security slips before they hit production.
Writing code faster was never the issue; the bottleneck was always code review. I feel like CodeRabbit is solving that one problem and that was attractive. Why not solve that problem before we use a coding agent?
The feedback I get from developers is that they like that it shows them typo errors, null pointers, and static code. It's the edge scenarios that are usually difficult to catch. It's a good tool to get these edge scenarios.
The differentiator isn't generating code, it's governing it. AI accelerates teams, but without guardrails, you only ship bad code faster. CodeRabbit gave us a non-negotiable review layer across repositories that reduced risk while increasing speed.