AI Code Reviewsthat actuallymake sense.
GitRabbit understands your entire codebase, catches bugs, race conditions, and AI hallucinations — then helps you ship better code, faster.
Trusted by 4,000+ engineering teams worldwide

Always learning.
Always improving.
See the Platform in Action
Watch this quick overview to see how GitRabbit automatically reviews pull requests, catches edge-case bugs, and enforces security policies directly within your workflow.
Everything you need for smarter code reviews
Automated PR Analysis
Context-aware, line-by-line feedback on pull requests within minutes of creation.
AI-Generated Summaries
Comprehensive summaries and architectural walkthroughs of code changes to help human reviewers.
One-Click Fixes
Actionable, committable code suggestions that developers can apply directly with a single click in the PR.
Agentic Chat
Contextual AI conversations directly within GitHub or GitLab comment threads to debate and refine code changes.
Bug & Defect Detection
Identifies runtime errors, null pointers, race conditions, logic flaws, and AI hallucinations before deployment.
Seamless in your workflow.
Works across GitHub, GitLab, and Bitbucket. Inline comments, summaries, and suggestions — right where you code.
See Integrations →Summary
Great work! This PR improves error handling and adds comprehensive tests.
Issues (3)
- HighPossible null pointeron line 42
- MediumConsider using conston line 17
- LowRedundant conditionon line 69
Suggestions (2)
- 💡 Extract functionon line 23
- 💡 Simplify expressionon line 67
Code reviews that learn from you.
Set the baseline with your rules and style guides, then train the agent with feedback via replies. Reviews improve continuously.
1# .gitrabbit.yaml2language: en3learning_mode: true4auto_adapt: true56reviews:7profile: "professional"8feedback_loops:9- enabled: true10threshold: 0.811source: "pull_request_comments"1213# Learn from previous PR feedback14context_window: 1015deep_learning: enabled