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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 our Quickstart guide for a hands-on demonstration using a real repository.

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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 contextual insights

Security & quality analysis

Integration with 40+ 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

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How automatic reviews work

1

Integration setup

After you connect CodeRabbit to your repository, it monitors for new pull requests and commits
2

Instant analysis

When a pull request is created, CodeRabbit immediately begins analyzing the code changes using multiple AI models and static analysis tools
3

Comprehensive review

Within minutes, CodeRabbit publishes detailed review comments with summaries, security findings, and improvement suggestions
4

Continuous updates

For subsequent commits, CodeRabbit performs incremental reviews focusing on the new changes

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Review types and severity levels

CodeRabbit categorizes its feedback into different types and severity levels to help you prioritize and address issues effectively.

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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)

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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

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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

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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

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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 provide increasingly relevant suggestions over time.

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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