AI code review bot that comments on pull requests with context-aware suggestions, summaries, and autofix across GitHub and GitLab.

Overview

CodeRabbit is an automated code review agent that installs into GitHub or GitLab and reviews every pull request the moment it opens. Instead of a generic linter, it reads the diff in context, summarizes the change, flags likely bugs, and proposes concrete fixes with one-click autofix. A chat interface lets reviewers ask follow-up questions or request specific changes inline. Teams get Jira and Linear integrations, customizable report styles, and product analytics dashboards. It is positioned as a tireless first reviewer that catches the small stuff so humans can focus on design and architecture.

Key Features

  • Context-aware PR comments with suggested fixes — accelerates development workflows.
  • Automatic pull request summaries and walkthroughs — reduces boilerplate code writing.
  • Agentic chat to refine or request changes inside the PR — integrates into common IDE setups.
  • Docstring and autofix finishing touches — accelerates development workflows.
  • Jira, Linear, and MCP integrations for workflow hooks — reduces boilerplate code writing.

Pricing

PlanPriceFor
Free$0/userUnlimited public and private repos, PR summaries
Pro$24/user/moFull reviews, insights, and agentic chat (billed annually)
Pro Plus$48/user/moCustom pre-merge checks and issue planner (billed annually)
EnterpriseCustomRBAC, SSO, self-hosting, and SLA
Slack Agent$0.50/minUsage-based incident and ticket automation

Pricing is subject to change. Check the official website for current plans and regional discounts. Free tiers often have usage limits — evaluate whether those limits match your expected volume before committing.

Comparison

Compared to Cursor, CodeRabbit reviews after the code is written rather than writing it with you, so the two complement more than compete. Against GitHub Copilot, it focuses on pull-request quality gates instead of inline completion. Qodo also targets testing and review, but CodeRabbit’s chat-in-PR loop is the smoother fit for teams already living in GitHub.

Getting Started

  • Try CodeRabbit with a small, self-contained coding task first (a utility function, a refactoring job) before trusting it with larger changesets.
  • Connect it to your version control system if supported — reviewing diffs is easier than reviewing raw suggestions.
  • Use the tool for documentation and comments, not just code generation — these lower-risk outputs build trust quickly.

Compare alternatives

Side-by-side with the 3 closest alternatives.

ToolCategoryPricingVisit
CodeRabbit (this) code, agentsFree $0/user · From $0.5/mo Site ↗
CursorcodeFrom $0/mo Site ↗
GitHub CopilotcodeFrom $10/mo Site ↗
Qodocode, productivityFree $0 · From $19/mo Site ↗
CodeRabbit Current

AI code review bot that comments on pull requests with context-aware suggestions, summaries, and autofix across GitHub and GitLab.

codeagents
Free $0/user · From $0.5/mo

AI-first code editor with codebase-aware chat, edits, and agent mode. Composer edits across multiple files Read our hands-on review and compare the top AI

code
From $0/mo

An AI coding assistant by GitHub and OpenAI that delivers real-time code completion inside your editor. Fast, inline completions in VS Code and JetBrains

code
From $10/mo

An AI code integrity platform (formerly Codium) that generates meaningful tests and reviews pull requests. Auto-generated unit tests with edge cases Read

codeproductivity
Free $0 · From $19/mo
Editor’s Review
4.4/5
Pros
  • +Inline, context-aware review comments on every PR
  • +Free tier covers unlimited public and private repos
  • +Agentic chat and autofix reduce review round-trips
Cons
  • Pro pricing per seat adds up for large teams
  • Suggestions still need human judgment on architecture
  • Most automation value lands on paid tiers

CodeRabbit is the most frictionless way to get a second pair of eyes on every pull request. Its summaries alone save senior reviewers time, but treat its fixes as suggestions, not authoritative merges.

See all reviews →

Last updated: 2026-07-31

When to use it

  • Use it when you need inline, context-aware review comments on every PR
  • Use it when you need free tier covers unlimited public and private repos
  • Use it when you need agentic chat and autofix reduce review round-trips

When to skip it

  • Avoid it if pro pricing per seat adds up for large teams
  • Avoid it if suggestions still need human judgment on architecture
  • Avoid it if most automation value lands on paid tiers

Alternatives to consider