How do I run CodeRabbit within Claude Code?

You can integrate it into your prompt by asking Claude to run 'coderabbit --prompt-only' to get AI-optimized output that Claude can easily process and act upon.

What types of issues does this skill detect?

It identifies logic errors, security vulnerabilities, memory leaks, race conditions, and various linting violations using over 40 integrated tools.

Can I use this for uncommitted local changes?

Yes, by using the '--type uncommitted' flag, you can review your current work-in-progress locally before making a commit.

How long do CodeRabbit reviews typically take?

Reviews usually range from 7 to 30+ minutes depending on the codebase size; it is recommended to run them in the background while Claude continues other tasks.

CodeRabbit AI Review

Name: CodeRabbit AI Review
Author: basher83

bybasher83

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Herramientas de Colaboración

Automates AI-powered code reviews to identify race conditions, memory leaks, and security vulnerabilities directly within Claude Code.

Acerca de

This skill integrates CodeRabbit's advanced AI analysis with the Claude Code environment, enabling developers to execute autonomous review-and-fix workflows. By leveraging specialized CLI commands like `--prompt-only`, it allows Claude to identify complex issues such as logic errors and security flaws in uncommitted changes or pull requests. It supports over 40 linters and security analyzers, providing a comprehensive safety net that helps developers ship high-quality, secure code faster with minimal manual intervention while maintaining strict coding standards.

Características Principales

5 GitHub stars
Support for 40+ industry-standard linters and security analyzers
Deep GitHub integration via @coderabbitai pull request commands
Seamless Claude Code integration for autonomous review-and-fix loops
Specialized CLI output modes optimized for AI agent consumption
AI-driven detection of race conditions and memory leaks

Casos de Uso

Standardizing code quality across teams using custom .coderabbit.yaml configurations
Performing local pre-commit reviews to catch bugs before they reach the repository
Automating security audits for TypeScript, Python, and Go projects

Acerca de

Características Principales

5 GitHub stars
Support for 40+ industry-standard linters and security analyzers
Deep GitHub integration via @coderabbitai pull request commands
Seamless Claude Code integration for autonomous review-and-fix loops
Specialized CLI output modes optimized for AI agent consumption
AI-driven detection of race conditions and memory leaks

Casos de Uso

Standardizing code quality across teams using custom .coderabbit.yaml configurations
Performing local pre-commit reviews to catch bugs before they reach the repository
Automating security audits for TypeScript, Python, and Go projects