I love how deeply it analyzes code… it spots potential errors more often than other tools.
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link: ; rel="alternate"; hreflang="ja", AI Code Reviews | CodeRabbit | Try for Free 
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 10,000+ customers
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//1-click & AI fixes
Catch fast. Fix fast.
1-click commits for easy fixes and a “Fix with AI” button for harder ones.
//Summaries & visual diagrams
TL;DR for your diff.
Quick context with a summary of changes, a walkthrough & an architectural diagram.
//Agentic reviews
Find the bugs. Skip the noise.
We find bugs humans miss – & flag the time consuming and tedious. Without the noise.
//Chat
Chat with the CodeRabbit bot directly.
Give feedback on reviews to create Learnings. Or create issues, trigger docstrings & more.
//Your code, your way
Most customizable tool.
Customize everything from your coding guidelines to your workflow in a yaml file.
//Automated reports
The reports you need.
Automate the creation of your daily standup reports, sprint reviews, and more.
CR_Flexibility
The only tool that reviews everywhere you work.
Review at the PR stage or directly in your IDE & CLI
CR_Quality
Industry-leading context.
Codebase-awareness is tablestakes. We pull in dozens more points of context than other tools.
See a sample review1. 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.
CR_Intelligence
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.
CR_Finish
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.
CR_Security
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
CodeRabbit routinely catches off-by-ones, edge cases, and even spec/security slips before they hit production.
It enforced a more precise UUID check and saved us from a production issue.
The code review part has been faster. It has been speeding up the time it takes, which is remarkable.
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?
CodeRabbit provides instant and accurate feedback on pull requests often catching real issues. Auto-generated summaries and walkthroughs are very helpful for human code reviewers. Our team loves having contextual conversations with AI right within GitHub's comment threads, turning each pull request into a collaborative AI chat. It is the most innovative application of AI in coding since Copilot! Code reviews will never be the same, thanks to CodeRabbit!
Sorry @coderabbitai - I'm not changing the name
With CodeRabbit, AI-generated summaries give me instant context and the visual file structure helps me spot critical changes quickly. These made it much easier to review changes quickly and catch critical issues without going through every file manually.
I love how deeply it analyzes code… it spots potential errors more often than other tools.
CodeRabbit routinely catches off-by-ones, edge cases, and even spec/security slips before they hit production.
It enforced a more precise UUID check and saved us from a production issue.
The code review part has been faster. It has been speeding up the time it takes, which is remarkable.
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?
CodeRabbit provides instant and accurate feedback on pull requests often catching real issues. Auto-generated summaries and walkthroughs are very helpful for human code reviewers. Our team loves having contextual conversations with AI right within GitHub's comment threads, turning each pull request into a collaborative AI chat. It is the most innovative application of AI in coding since Copilot! Code reviews will never be the same, thanks to CodeRabbit!
Sorry @coderabbitai - I'm not changing the name
With CodeRabbit, AI-generated summaries give me instant context and the visual file structure helps me spot critical changes quickly. These made it much easier to review changes quickly and catch critical issues without going through every file manually.