Ready to see CodeRabbit in action? Try our hands-on guide for a demonstration using a real repository.
What CodeRabbit does for your pull requests
CodeRabbit automatically analyzes every pull request with a multi-layered approach that combines the best of AI and industry-standard tools:Bug detection
Spot potential runtime errors, null pointer exceptions, race conditions, and logic flaws before deployment
One-click fixes
Apply suggested changes directly to your PR with a single click—no copy-paste, no switching contexts
AI-generated summaries
Comprehensive summaries and of code changes with contextual insights
Security & quality analysis
Integration with 50+ open-source linters and security scanners for comprehensive coverage
Intelligent suggestions
Context-aware improvement recommendations based on your entire repository
Code graph analysis
Deep understanding of code relationships and dependencies across your project
How automatic reviews work
Integration setup
After you connect CodeRabbit to your
repository, it monitors for new pull requests
and commits
Instant analysis
When a pull request is created, CodeRabbit immediately begins analyzing the
code changes using multiple AI models and static analysis tools
Comprehensive review
Within minutes, CodeRabbit publishes detailed review comments with
summaries, security findings, improvement suggestions and one-click fixes
Review types and severity levels
CodeRabbit categorizes its feedback into different types and severity levels to help you prioritize and address issues effectively.Review types
Each review comment leads with a content category badge that identifies the area of your codebase the feedback relates to:- 🔒 Security & Privacy - Vulnerabilities, authentication and authorization flaws, secret handling, and data exposure
- 🩺 Stability & Availability - Crashes, unhandled errors, resource leaks, and reliability risks
- 🗄️ Data Integrity & Integration - Data correctness, persistence, schema, and integration-boundary issues
- 🎯 Functional Correctness - Logic errors, incorrect behavior, and unhandled edge cases
- 🚀 Performance & Scalability - Inefficiencies, bottlenecks, and scalability concerns
- 📐 Maintainability & Code Quality - Readability, structure, naming, and adherence to best practices
Severity levels
Each review comment is assigned a severity level to indicate its importance:- 🔴 Critical - Severe issues that could cause system failures, security breaches, or data loss
- 🟠 Major - Significant problems that impact functionality or performance
- 🟡 Minor - Issues that should be addressed but don’t critically impact the system
- 🔵 Trivial - Low-impact suggestions for code quality improvements
- ⚪ Info - Informational comments or context without requiring action
Review triggers and events
CodeRabbit automatically initiates reviews based on these repository activities:- New pull requests
- New commits
Full comprehensive review when a new pull request is created - Complete analysis of all proposed changes - Security and quality assessment - Code style and best practices review
Interactive code reviews with CodeRabbit
Once CodeRabbit reviews your pull request, you can engage in dynamic conversations and request specific actions by mentioning@coderabbitai in your comments.
Control reviews
Pause, resume, or customize review behavior with simple commands
Smart conversation capabilities
- Contextual chat
- Review control
- Code generation
Ask CodeRabbit questions about your code changes, architecture decisions, or implementation approaches. It has access to your entire repository for informed responses.
Next steps
Ready to dive deeper into CodeRabbit’s capabilities? Explore these essential features to maximize your code review experience:Review commands
Learn all the commands to control CodeRabbit’s behavior during reviews