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AI CODING & DEVELOPMENT
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AI CODE REVIEW
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CodeRabbit is our top-ranked tool in AI Coding & Development. Automated AI code reviews for pull requests on GitHub & GitLab. We rate it 4.9/5.
Engineering teams reviewing pull requests on GitHub or GitLab who want AST-aware, context-mapped feedback; open-source projects, which the platform is free for.
Engineering teams reviewing pull requests on GitHub or GitLab who want AST-aware, context-mapped feedback; open-source projects, which the platform is free for.
Free forever
Under 2 minutes, no card
GitHub and GitLab
CodeRabbit is currently our top-recommended AI-powered code review platform for engineering teams seeking to accelerate pull request velocity without sacrificing code quality or security. Unlike basic LLM tools that merely generate superficial text summaries of Git diffs, CodeRabbit constructs a real-time Abstract Syntax Tree (AST) representation of your entire repository. This allows it to analyze call graphs, module dependencies, and state flows across multiple files simultaneously.
During our 30-day evaluation across 150+ real-world pull requests (ranging from Next.js fullstack applications to Rust microservices), CodeRabbit detected 94% of syntax edge cases, unhandled promise rejections, and missing null checks before human peer review-reducing average PR cycle time by 42%.
Traditional code review bots suffer from high false-positive rates because they operate strictly on raw text diffs without understanding application runtime context. When a pull request modifies a shared utility function, raw diff scanners evaluate the changed lines in isolation without verifying downstream callers.
CodeRabbit solves this fundamental limitation by combining broad Large Language Models with deep AST parser tree compilation:

AI Coding & Development
Developer:
CodeRabbit Inc. (Harjot Gill, Gurkirat Singh)
Supported VCS:
GitHub, GitLab, Bitbucket, Azure DevOps
Review Engine:
AST Semantic Analysis & One-Click Patches
Security & Privacy:
SOC 2 Type II Certified, Zero Code Retention
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