Master CodeRabbit with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Install CodeRabbit on Your Git Platform Visit [coderabbit.ai](https://www.coderabbit.ai) and sign up with your GitHub, GitLab, Bitbucket, or Azure DevOps account. Select the repositories you want CodeRabbit to review — the free tier covers all public repos. ##
Open Your First Pull Request CodeRabbit begins reviewing automatically on the very first PR with no configuration. It posts a summary comment, inline review comments, and a walkthrough of the changes within minutes. ##
Interact and Apply Fixes Reply to CodeRabbit's comments in the PR thread to ask follow
up questions, request re
reviews, or apply one
click fixes directly from the conversation. Use `@coderabbitai` to chat with the bot. ##
Customize Rules and Learnings Add a `.coderabbit.yaml` file to your repo to configure review depth, path filters, custom instructions, and language
specific rules. CodeRabbit also learns from your team's accepted and dismissed feedback over time. ##
Expand to CLI and IDE (Pro) Install the CodeRabbit CLI or IDE extension (VS Code, Cursor, Windsurf) to get AI reviews locally before pushing code — shifting quality feedback left in your workflow.
💡 Quick Start: Follow these 9 steps in order to get up and running with CodeRabbit quickly.
Explore the key features that make CodeRabbit powerful for ai code review workflows.
Advanced AI engine that understands your entire codebase, tracking dependencies and patterns across files to provide intelligent feedback that considers architectural implications, security risks, and performance impacts of every code change.
Automatically identify complex bugs like race conditions, subtle security vulnerabilities, architectural violations, and inconsistent patterns that human reviewers often miss during manual review of large pull requests.
Seamless integration with GitHub, GitLab, Azure DevOps, Bitbucket, plus IDE extensions for VS Code, Cursor, and Windsurf, and CLI tools that work with Claude Code, Cursor, Codex, and Gemini for comprehensive coverage.
Provide consistent AI feedback across every development environment—from PR reviews to real-time IDE assistance to pre-commit command-line checks—ensuring quality gates at every stage of development.
Integration of 40+ industry-standard linters and security scanners with intelligent false-positive filtering, SOC 2 Type II certification, and specialized detection for OWASP vulnerabilities, dependency issues, and compliance violations.
Catch security vulnerabilities, license compliance issues, and code quality problems before they reach production, with enterprise-grade scanning that scales from startup to Fortune 500 requirements.
One-click fixes for simple issues and AI-powered resolution for complex problems, plus automated unit test generation with coverage analysis, docstring creation, and custom pre-merge checks defined in natural language.
Reduce manual fix time by automatically resolving common issues, generate missing test coverage, create comprehensive documentation, and enforce custom quality gates without manual intervention.
AI that learns from your team's code review patterns, architectural decisions, and coding standards to provide increasingly personalized feedback, with customizable rules, guidelines, and integration with Jira and Linear for context-aware reviews.
Adapt to your specific development culture, learn from senior developer feedback patterns, maintain consistency with established architectural decisions, and align code changes with business requirements from project management tools.
CodeRabbit has identified over 75M defects across 3M+ repositories, often catching subtle issues that human reviewers miss. While it doesn't replace human architectural judgment, it consistently identifies security vulnerabilities, performance issues, and standards violations that slip through manual review, especially during high-velocity development periods.
Yes, CodeRabbit integrates with all major Git platforms (GitHub, GitLab, Azure DevOps, Bitbucket), popular IDEs (VS Code, Cursor, Windsurf), project management tools (Jira, Linear), and works via CLI with coding agents like Claude Code, Cursor, Codex, and Gemini. The platform adapts to your existing workflow rather than requiring changes.
CodeRabbit maintains SOC 2 Type II certification with end-to-end encryption and zero data retention post-review. Enterprise customers can choose self-hosted deployment for complete control over sensitive code, while still accessing the full AI review capabilities and security scanning features.
CodeRabbit's key differentiators include codebase-wide contextual understanding (not just file-level analysis), integration of 40+ professional linters and scanners, intelligent learning from team feedback, and multi-surface coverage (PR, IDE, CLI). The platform's track record of 75M+ defects found and trust from companies like NVIDIA demonstrates proven enterprise-grade reliability, while its adaptive learning engine and natural-language custom rules offer a level of customization that competitors lack.
Yes, CodeRabbit offers one-click fixes for simple issues and "Fix with AI" capabilities for more complex problems. It can also automatically generate unit tests, create docstrings, and implement custom pre-merge checks. This automation significantly reduces the time from issue identification to resolution.
Now that you know how to use CodeRabbit, it's time to put this knowledge into practice.
Sign up and follow the tutorial steps
Check pros, cons, and user feedback
See how it stacks against alternatives
Follow our tutorial and master this powerful ai code review tool in minutes.
Tutorial updated March 2026