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CodeRabbit
✓ verifiedPaid
AI code review tool with huge adoption; ~870K visits and 1.4M saves.
👁 870K/mo♥ 1.5M
Pricing
No public pricing
No public pricing
No public pricing
Free: $0
Lite: $12
Pro: $24
Enterprise: Talk to us
Free: $0 /month
Popular: $9.99 /month
Enterprise: $49 /month
Core features
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦GitHub Mode for repository search
- ✦Web Mode for web-based information retrieval
- ✦Chat Mode for direct AI interaction
- ✦Model selection (GPT, Claude, Gemini)
- ✦Student discount program
- ✦AI-powered code reviews
- ✦Contextual line-by-line feedback
- ✦Critical change flagging
- ✦Bot interaction
- ✦Direct commit from GitHub
- ✦Integration with Jira & Linear
- ✦Agentic Chat with CodeRabbit
- ✦Product analytics dashboards
- ✦Customizable reports
- ✦Docstrings generation
- ✦Seamless GitHub and Bitbucket Integration
- ✦LLM-Powered Reporting for features and bug fixes identification
- ✦Scheduled Notifications via email and Slack
- ✦AI Chat for team progress inquiries
- ✦Automated progress insights and development velocity metrics
Use cases
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Writing API reference documentation
- →Brainstorming SEO strategies
- →Enhancing code functionality
- →Gaining insights into open-source projects
- →Resolving complex code issues
- →Automated code review for pull requests
- →Identifying potential bugs and vulnerabilities
- →Improving code quality and consistency
- →Onboarding new developers with AI-driven guidance
- →Track pull requests and analyze commits to monitor team progress.
- →Generate automated email and Slack notifications for development updates.
- →Identify features and bug fixes from commit messages and pull request descriptions.
- →Receive intelligent summaries of team progress and development velocity metrics.
- →Understand team activity and project insights without deep technical knowledge.
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