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.
Vibe check your Code, now in CLI
Line-by-line AI code reviews in VS Code, Cursor, and Windsurf. Catch defects before they hit your PR.
Supported in MacOS, Linux, and Windows (WSL)
The leader in AI code reviews
Trusted by 10,000+ organizations
Vibe code with confidence
We do the heavy lifting & spot the hard to find issues. You do the final 10%.
Review in flow
Code, review, commit - all without leaving your terminal. CodeRabbit works where you work, within your existing command-line tooling and flow state. Ship with confidence.
Catch AI slop
CodeRabbit acts as a backstop that flags hallucination, logical errors, code smells, missed unit tests, and more.
Context-aware reviews
Code reviews that truly understand the context behind code changes, and complex dependencies. Better context = better reviews = fewer bugs.
Free reviews in your terminal
Senior-engineer level reviews in the CLI, at no cost. Rate limits apply.
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Key Features for Reviews in CLI
Review uncommitted changes
Get immediate feedback on your code including staged and unstaged commits without waiting for your PR to be raised. Fix issues in the CLI and reduce the number of back and forths in the PR.
Line-by-line reviews
Each line of code gets senior developer level attention with AI-powered inline review comments. Catch defects, code refactors, and missed unit tests highlighted by CodeRabbit - your pair programmer within the CLI.
One-click fixes
Find bugs, click, fix bugs. Use one-click fixes in CLI to easily incorporate review comments back into your codebase with just one-click. Spend less time writing code and more time building features.
Fix with AI
CodeRabbit CLI hands off both the recommended code changes and deep context it generates to your AI agent via a prompt. Maintain your flow state with reviews that seamlessly integrate with your CLI coding agent letting it know what code change to make, with context, all in natural language.
Built for AI development workflows
Seamless integration with AI coding assistants
CodeRabbit CLI bridges AI code generation and production readiness. Works with Claude Code, Cursor CLI, Gemini CLI, and others to enable autonomous generate-review-iterate cycles. One command coderabbit review --plain transforms any CLI Coding agent into a complete development system. The missing piece for production-ready AI code.
AI code reviews in CLI and in PR
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Frequently Asked Questions
What is CodeRabbit CLI?
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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!
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 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!
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.