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AI Tool
Revolutionize Your Code Reviews with CodeRabbit AI
Automated pull-request comments with severity tagging
Cut review times from hours to seconds with intelligent automation.Enjoy comprehensive insights through context-aware code analysis.Integrate seamlessly with your favorite IDE for effortless workflows.
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overview
What is CodeRabbit?
CodeRabbit is an AI-powered code review tool designed to enhance your development process. By analyzing entire codebases, it helps teams identify issues that traditional tools overlook, ensuring higher quality code and faster deployment.
- Automated reviews for GitHub, GitLab, and Azure DevOps.
- Supports a flexible API for custom solutions.
- Offers a free tier to get started without any upfront costs.
features
Key Features
CodeRabbit brings unparalleled efficiency and accuracy to your code review process. Our AI technology goes beyond simple pattern matching to catch critical issues like race conditions and architectural drift.
- Real-time reviews directly in your IDE.
- Sub-3% false-positive rates for optimized review cycles.
- Agentic chat capabilities generate unit tests and create issues automatically.
use_cases
Why Use CodeRabbit?
Whether you are a small team or a large enterprise, CodeRabbit enhances productivity and code quality. Developers can focus on more complex issues, while mundane tasks are handled automatically.
- Ideal for teams looking to save time on code reviews.
- Provides deep architectural insights for long-term maintainability.
- Ensures compliance and security with enterprise-grade features.
Frequently Asked Questions
What kind of support does CodeRabbit offer?
We provide comprehensive documentation and a flexible API to assist all users in integrating and utilizing CodeRabbit effectively.
Is there a free version of CodeRabbit?
Yes, CodeRabbit offers a free tier that allows users to experience the benefits without any initial investment.
How does CodeRabbit ensure code security?
CodeRabbit emphasizes privacy by using ephemeral containers and does not retain LLM prompts, ensuring that your code is secure during reviews.