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Overview
Discover how CodeRabbit transforms your development workflow with AI-powered code reviews that provide instant, comprehensive feedback on every pull request.
Transform your code review process with CodeRabbit’s AI-powered analysis that delivers comprehensive feedback within minutes of creating a pull request. Get detailed summaries, security insights, and improvement suggestions that help your team ship better code faster.
Ready to see CodeRabbit in action? Try ourQuickstartguide for a hands-on demonstration using a realrepository.
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:AI-generated summaries
Comprehensive summaries and walkthroughs of code changes with contextualinsights
Security & quality analysis
Integration with 40+ open-source linters and security scanners forcomprehensive coverage
Intelligent suggestions
Context-aware improvement recommendations based on your entire repository
Code graph analysis
Deep understanding of code relationships and dependencies across yourproject
How automatic reviews work
1
Integration setup
After youconnect CodeRabbit to your repository, it monitorsfor new pull requests and commits
2
Instant analysis
When a pull request is created, CodeRabbit immediately begins analyzing thecode changes using multiple AI models and static analysis tools
3
Comprehensive review
Within minutes, CodeRabbit publishes detailed review comments withsummaries, security findings, and improvement suggestions
4
Continuous updates
For subsequent commits, CodeRabbit performs incremental reviews focusing onthe new changes
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
CodeRabbit provides three types of review feedback:- ⚠️Potential issue - Identifies potential bugs, security vulnerabilities, or problematic code patterns
- 🛠️Refactor suggestion - Recommends code improvements for maintainability, performance, or best practices
- 🧹Nitpick - Suggests minor style or formatting improvements (only in Assertive mode)
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 - Completeanalysis of all proposed changes - Security and quality assessment - Codestyle 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.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.
@coderabbitai Why did you suggest using a factory pattern here?CodeRabbit learns from your feedback and coding patterns to provideincreasingly relevant suggestions over time.
Next steps
Ready to dive deeper into CodeRabbit’s capabilities? Explore these essential features to maximize your code review experience:Was this page helpful?
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