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CodeRabbit

From CodeRabbit Inc

AI Code Review Agent for GitHub Pull Requests
Tool Release Date

2023

Tool Users
10K+
0.0

Pricing Model

Starting Price

$0/Month

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About This AI

CodeRabbit is an AI-powered code review tool that automates pull request reviews on GitHub, GitLab, and Azure DevOps, providing line-by-line feedback, bug detection, security scans, summaries, architectural diagrams, and one-click fixes.

It acts as an intelligent agent that understands codebase context, applies custom guidelines, integrates 40+ linters/scanners, and learns from user feedback to improve over time.

Key capabilities include agentic reviews that focus on critical issues, chat in PR threads for clarifications, automated reports (daily standups, sprint reviews), pre-merge checks, test/doc generation, and support for self-hosting in Enterprise.

Founded in 2023 and headquartered in Walnut Creek, California, CodeRabbit has analyzed millions of PRs, found 75 million defects, and serves 10,000+ customers including Ashby, Appsmith, MIT, and Gilead.

It emphasizes speed (instant reviews), depth (codegraph + external context like Jira/Linear), and security (SOC 2 Type II, zero data retention post-review).

Available as 2-click GitHub install, IDE/CLI tools, with a 14-day Pro trial and custom Enterprise options.

Ideal for engineering teams aiming to cut review time by half, catch subtle bugs humans miss, and maintain high code quality at scale.

Key Features

  1. Automated PR reviews: Line-by-line AI feedback on GitHub/GitLab/Azure DevOps pull requests
  2. Bug and security detection: Spots off-by-ones, edge cases, security slips, and false-positive-filtered issues
  3. One-click fixes: Apply AI-suggested fixes directly or via 'Fix with AI' button
  4. PR summaries and diagrams: Generates change summaries, walkthroughs, and architectural visuals
  5. Chat in PR threads: Interact with CodeRabbit bot for clarifications or issue creation
  6. Custom guidelines: Enforce team standards via YAML config and feedback learning
  7. Agentic focus: Prioritizes critical issues over noise with advanced detection
  8. Integrated linters/scanners: 40+ tools with false-positive filtering
  9. Automated reports: Daily standups, sprint reviews, and pre-merge checks
  10. Self-hosting option: Enterprise plan includes on-prem deployment

Price Plans

  1. Free ($0): 14-day trial of Pro features (no credit card); unlimited public/private repos, PR summarization, IDE reviews
  2. Pro ($24/month): Full features including advanced reviews, fixes, higher limits, priority support; exact cost not publicly listed
  3. Enterprise (Custom - Contact sales): All Pro plus self-hosting, multi-org, SLA support, API access, dedicated CSM, AWS/GCP Marketplace billing, vendor security review

Pros

  1. Significant time reduction: Cuts code review time and bugs by half for many teams
  2. High detection accuracy: Catches subtle issues humans often miss
  3. Context-aware intelligence: Uses codegraph, external tools (Jira/Linear), and web queries
  4. Security and compliance: SOC 2 Type II certified with end-to-end encryption
  5. Easy setup: 2-click install for GitHub; IDE/CLI support
  6. Learning capability: Improves reviews based on natural language feedback
  7. Scalable for teams: Supports multi-org, high limits, and enterprise features

Cons

  1. Pricing not public: Pro plan cost requires sign-up or contact; no transparent numbers
  2. Enterprise-heavy advanced features: Self-hosting, API, SLA support only in custom Enterprise
  3. Git-focused: Primarily for Git-based platforms; less emphasis on other VCS
  4. Potential over-reliance: Teams must still perform final 10 percent human review
  5. Recent launch: Founded 2023; some enterprise features still maturing
  6. Feedback-dependent improvement: Best results require consistent user input

Use Cases

  1. Pull request reviews: Automate feedback on code changes to speed up merges
  2. Bug catching: Identify subtle defects, edge cases, and security issues pre-merge
  3. Code quality enforcement: Apply team standards and best practices consistently
  4. Team knowledge sharing: Generate summaries/diagrams for faster onboarding
  5. Automated testing/docs: Create unit tests and docstrings on demand
  6. Daily reporting: Produce standup/sprint summaries from PR activity
  7. Enterprise compliance: Self-hosted reviews for security-sensitive teams

Target Audience

  1. Engineering teams: Small to large dev teams using GitHub/GitLab
  2. Startups and scale-ups: Fast-moving teams needing quick, high-quality reviews
  3. Enterprise developers: Organizations requiring SOC 2 compliance and self-hosting
  4. Open-source maintainers: Reviewing contributions across many repos
  5. AI-assisted coding adopters: Teams already using Copilot wanting review layer
  6. Quality-focused leads: Engineering managers prioritizing defect reduction

How To Use

  1. Sign up: Go to coderabbit.ai and start free trial (no card needed)
  2. Install app: Add CodeRabbit to GitHub/GitLab/Azure DevOps repos (2-click)
  3. Open PR: CodeRabbit auto-reviews on pull request creation/update
  4. Review feedback: Read comments, summaries, diagrams in PR thread
  5. Apply fixes: Use one-click commit or 'Fix with AI' for suggestions
  6. Chat bot: Reply to CodeRabbit comments for clarifications or actions
  7. Configure: Add .coderabbit.yaml for custom guidelines and workflows

How we rated CodeRabbit

  • Performance: 4.8/5
  • Accuracy: 4.7/5
  • Features: 4.9/5
  • Cost-Efficiency: 4.5/5
  • Ease of Use: 4.8/5
  • Customization: 4.6/5
  • Data Privacy: 4.9/5
  • Support: 4.5/5
  • Integration: 4.8/5
  • Overall Score: 4.8/5

CodeRabbit integration with other tools

  1. GitHub: Native app for PR reviews, comments, and one-click fixes
  2. GitLab and Azure DevOps: Supported for pull/merge request automation
  3. External tools: Jira, Linear for linked issues; web queries for context
  4. Linters/Security scanners: Integrates 40+ tools with false-positive filtering
  5. IDE/CLI: Available for direct code reviews in development environments

Best prompts optimised for CodeRabbit

  1. Not applicable - CodeRabbit is an automated AI code review tool that analyzes pull requests without manual prompting for content generation.
CodeRabbit excels as an AI code review agent, delivering fast, context-aware feedback on pull requests with bug detection, summaries, diagrams, and one-click fixes. Its agentic approach and learning from feedback make it a strong choice for teams prioritizing quality and speed. Free trial available; Pro/Enterprise pricing requires contact, but it scales well for open-source to large enterprises.

FAQs

  • What is CodeRabbit?

    CodeRabbit is an AI-powered code review tool that automates pull request reviews on GitHub, GitLab, and Azure DevOps, providing line-by-line feedback, bug detection, summaries, diagrams, and one-click fixes.

  • Is CodeRabbit free to use?

    Yes, it offers a 14-day free trial of Pro features (no credit card required); after trial, Free plan includes basic summarization and IDE reviews, while Pro/Enterprise require contact for pricing.

  • How many customers does CodeRabbit have?

    CodeRabbit serves over 10,000 customers, analyzes millions of PRs, and has found 75 million defects across 2 million repositories.

  • What platforms does CodeRabbit support?

    It integrates with GitHub, GitLab, Azure DevOps for PR reviews, plus IDE/CLI tools and external context from Jira/Linear.

  • When was CodeRabbit founded?

    CodeRabbit was founded in 2023 and has raised significant funding with rapid growth in adoption.

  • Is CodeRabbit secure for enterprise use?

    Yes, it is SOC 2 Type II certified with end-to-end encryption, zero data retention post-review, and Enterprise options like self-hosting and vendor reviews.

  • Does CodeRabbit support custom guidelines?

    Yes, teams can configure workflows and coding standards via .coderabbit.yaml and natural language feedback for personalized reviews.

  • What makes CodeRabbit different from other AI review tools?

    It combines agentic prioritization, codebase intelligence (codegraph + external tools), learning from feedback, and strong security/compliance features for production-grade reviews.

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