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
Smart CLI Reviews act as quality gates for Codex, Claude, Gemini, and you.
Supported in macOS, Linux, and Windows (WSL)
CodeRabbit CLIInstall with cURL
The leader in AI code reviews
3MRepositories
2MPRs a week
Vibe code with confidence
We do the heavy lifting & spot the hard-to-find issues. You do the final 10%.
01Review uncommitted changes
Review in flow
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.
02Line-by-line reviews
Catch AI slop
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.
03One-click fixes
Context-aware reviews
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.
04Fix with AI
Free reviews in your terminal
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. It works with Claude Code, Codex, and others to enable autonomous generate-review-iterate cycles. One command — coderabbit review --agent — 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
Why developers love CodeRabbit CLI
What sets CodeRabbit apart is its deep understanding of code structure through AST analysis. Having built developer tools myself and taken part in 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 taken part in 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.
CR_Information
Frequently Asked Questions
- CodeRabbit CLI is an AI code review tool that runs directly in your terminal. It provides intelligent code analysis, catches issues early, and integrates seamlessly with AI coding agents like Claude Code, Cursor CLI, and Gemini to ensure your code is production-ready before it ships.
CodeRabbit CLI brings code reviews directly into your development workflow in the terminal, allowing you to review code before commits and PRs. While web-based CodeRabbit focuses on reviewing code after a PR is raised, CLI enables pre-commit reviews of both staged and unstaged changes, creating a multi-layered review process.
Bug reports and feature requests can be submitted through our support channels. We prioritize feedback from active CLI users to improve the tool continuously.
- You can reach us in our Discord community for free support.
- Paid users can directly contact our support by emailing support@coderabbit.ai.