CodeRabbit has proven invaluable in uncovering discrepancies between our documentation and test coverage. Highlighting inconsistencies like missing null checks or mismatched value ranges significantly improved the quality of our codebase and prevented numerous potential issues.
Cut code review time & bugs in half. Instantly.
Reviews for AI-powered teams who move fast (but don’t break things)
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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 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.
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
What sets CodeRabbit apart is its deep understanding of code structure through AST analysis. Having built developer tools myself and taking part of the NixOS community, I can appreciate the technical sophistication behind their approach. It's not just pattern matching - it's intelligent code comprehension that integrates seamlessly into our existing workflows.
CodeRabbit has revolutionized the way we handle GitHub pull requests. Leveraging the power of advanced language models, it autonomously identifies issues ranging from readability concerns to logic bugs and best practice deviations. This invaluable tool has dramatically reduced the time our reviewers spend on initial evaluations, allowing us to focus on deeper, more meaningful code discussions. A game-changer for efficient and effective code reviews!
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
What impresses me most about CodeRabbit isn't just the time it saves - it's how it elevates the entire code review discussion. As both a CEO and active coder, I see it bridging the gap between high-level engineering metrics and day-to-day code quality. It's quickly become our secret weapon for maintaining engineering excellence while moving fast.
CodeRabbit is the dream PR reviewer I've been searching for forever! It's a total game-changer when it comes to summarizing what the PR is all about and helping me spot those nasty bugs before they wreak havoc in production. Seriously, it's been a real lifesaver! The suggestions have saved me countless hours. With it, I feel more confident in the quality of my code and can deliver better software.
We've integrated CodeRabbit into our PandasAI repository, and the impact has been remarkable. Reviewing pull requests now takes half the time it used to. This tool not only benefits the PR reviewers by streamlining their work but also frequently assists the authors by identifying potential edge cases, ultimately saving a significant amount of time for everyone involved.
CodeRabbit has completely transformed our code review process, making it faster, more consistent, and less manual. It has saved us more than 50% of the time we used to spend on manual reviews, allowing our engineers to focus on building great products.
At Expanso, we're simplifying distributed compute for everyone. Having a code review tool that truly understands complex code structure and edge cases is game-changing. CodeRabbit helps us maintain rigorous quality standards while moving fast - essential when building infrastructure for the distributed future.
CodeRabbit was easy to setup, and instantly gives every pull request an AI summary of changes and line by line code review. Our team likes the conversational nature where you can ask the bot questions back and forth and it responds and takes your feedback. Most importantly, it gets people thinking about the comments and triggers them to revisit code and do a deeper review than they would have otherwise.
CodeRabbit has transformed our development process by providing intelligent, automated code reviews that understand the complexities of robotics software. Our team can now focus on innovation while maintaining the highest standards of code quality and safety.
What impresses me most about CodeRabbit isn't just the time it saves - it's how it elevates the entire code review discussion. As both a CEO and active coder, I see it bridging the gap between high-level engineering metrics and day-to-day code quality. It's quickly become our secret weapon for maintaining engineering excellence while moving fast.
CodeRabbit has proven invaluable in uncovering discrepancies between our documentation and test coverage. Highlighting inconsistencies like missing null checks or mismatched value ranges significantly improved the quality of our codebase and prevented numerous potential issues.
What sets CodeRabbit apart is its deep understanding of code structure through AST analysis. Having built developer tools myself and taking part of the NixOS community, I can appreciate the technical sophistication behind their approach. It's not just pattern matching - it's intelligent code comprehension that integrates seamlessly into our existing workflows.
CodeRabbit has revolutionized the way we handle GitHub pull requests. Leveraging the power of advanced language models, it autonomously identifies issues ranging from readability concerns to logic bugs and best practice deviations. This invaluable tool has dramatically reduced the time our reviewers spend on initial evaluations, allowing us to focus on deeper, more meaningful code discussions. A game-changer for efficient and effective code reviews!
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
What impresses me most about CodeRabbit isn't just the time it saves - it's how it elevates the entire code review discussion. As both a CEO and active coder, I see it bridging the gap between high-level engineering metrics and day-to-day code quality. It's quickly become our secret weapon for maintaining engineering excellence while moving fast.
CodeRabbit is the dream PR reviewer I've been searching for forever! It's a total game-changer when it comes to summarizing what the PR is all about and helping me spot those nasty bugs before they wreak havoc in production. Seriously, it's been a real lifesaver! The suggestions have saved me countless hours. With it, I feel more confident in the quality of my code and can deliver better software.
We've integrated CodeRabbit into our PandasAI repository, and the impact has been remarkable. Reviewing pull requests now takes half the time it used to. This tool not only benefits the PR reviewers by streamlining their work but also frequently assists the authors by identifying potential edge cases, ultimately saving a significant amount of time for everyone involved.
CodeRabbit has completely transformed our code review process, making it faster, more consistent, and less manual. It has saved us more than 50% of the time we used to spend on manual reviews, allowing our engineers to focus on building great products.
At Expanso, we're simplifying distributed compute for everyone. Having a code review tool that truly understands complex code structure and edge cases is game-changing. CodeRabbit helps us maintain rigorous quality standards while moving fast - essential when building infrastructure for the distributed future.
CodeRabbit was easy to setup, and instantly gives every pull request an AI summary of changes and line by line code review. Our team likes the conversational nature where you can ask the bot questions back and forth and it responds and takes your feedback. Most importantly, it gets people thinking about the comments and triggers them to revisit code and do a deeper review than they would have otherwise.
CodeRabbit has transformed our development process by providing intelligent, automated code reviews that understand the complexities of robotics software. Our team can now focus on innovation while maintaining the highest standards of code quality and safety.
What impresses me most about CodeRabbit isn't just the time it saves - it's how it elevates the entire code review discussion. As both a CEO and active coder, I see it bridging the gap between high-level engineering metrics and day-to-day code quality. It's quickly become our secret weapon for maintaining engineering excellence while moving fast.