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CodeRabbit

CodeRabbit is an innovative, AI-driven platform that transforms the way code reviews are done. It delivers context-aware, human-like reviews, improving code quality, reducing the time and effort required for thorough manual code reviews, and enabling teams to ship software faster. Trusted by over a thousand organizations, including The Economist, Life360, ConsumerAffairs, Hasura, and many more, to improve their code review workflow. CodeRabbit is SOC 2 Type 2, GDPR certified, and doesn't train on customer's proprietary code.

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Founded

2023

Location

San Francisco, CA

Employees

97

Funding

$88M

CodeRabbit: AI Code Review Agent for Pull Requests, IDEs, and CLI

Overview

**CodeRabbit** is an automated AI code review agent that delivers context-aware feedback across pull requests and editors. It integrates natively with **GitHub, GitLab, Azure DevOps, and Bitbucket**, and offers a free IDE experience for **VS Code, Cursor, and Windsurf**, plus a **CLI** for local self-review. The agent flags bugs, logical errors, test gaps, anti‑patterns, and style issues; it also generates PR summaries, asks clarifying questions, and proposes one‑click fixes.

  • Repo indexing provides full-context analysis for deeper reviews and fewer back‑and‑forth cycles in PRs.
  • Built for speed and scale; profiled by Google Cloud for running its agent pipeline on **Cloud Run**.
  • Public Trust Center with **SOC 2 Type II** and **GDPR**; states it does not train on customer code.
  • Learn more: [CodeRabbit](https://coderabbit.ai/), [Docs](https://docs.coderabbit.ai/), [Trust Center](https://trust.coderabbit.ai/), [Google Cloud profile](https://cloud.google.com/blog/products/ai-machine-learning/how-coderabbit-built-its-ai-code-review-agent-with-google-cloud-run).

    Key Capabilities

  • **Context-aware PR reviews** with repo indexing and a code‑graph style context layer .
  • **Automated PR summaries**, line comments, clarifying questions, and **one‑click fixes** .
  • **IDE assistance** in VS Code, Cursor, and Windsurf to catch bugs, code smells, and missing tests while coding .
  • **CLI self‑review** to catch issues before committing .
  • **Policy enforcement** for coding guidelines, styles, and test coverage.
  • Designed for **near‑instant feedback** to accelerate approvals on routine PRs.
  • Integrations

  • Git platforms: [GitHub](https://docs.coderabbit.ai/platforms/overview), [GitLab](https://docs.coderabbit.ai/platforms/overview), [Azure DevOps](https://docs.coderabbit.ai/platforms/overview), [Bitbucket](https://www.coderabbit.ai/blog/coderabbit-now-supports-ai-code-reviews-with-bitbucket-cloud)
  • IDEs: [VS Code, Cursor, Windsurf](https://coderabbit.ai/ide)
  • Local: [CLI](https://coderabbit.ai/cli)
  • Getting started: [Quickstart](https://docs.coderabbit.ai/getting-started/quickstart), [Platforms overview](https://docs.coderabbit.ai/platforms/overview)
  • Security and Trust

  • Certifications and policies: **SOC 2 Type II**, **GDPR**; Trust Center states **no training on proprietary customer code**. See the [Trust Center](https://trust.coderabbit.ai/).
  • Pricing

  • **Free** editor experience; **14‑day free trial** for paid tiers.
  • Paid plans: **Lite** and **Pro**, with **Enterprise** available.
  • Details: [Pricing](https://coderabbit.ai/pricing).
  • Customers and Traction

  • Notable customers: **The Economist, Life360, ConsumerAffairs, Hasura** .
  • Business traction: 20k+ LinkedIn followers; team size 51–200 .
  • Funding

  • $16M Series A (Aug 2024, CRV) — sources: [CRV profile](https://www.crv.com/companies/), [TechCrunch](https://techcrunch.com/), [Business Wire](https://www.businesswire.com/).
  • $60M Series B (Sep 2025, led by Scale with NVentures), reported valuation ≈ $550M — sources: [Series B announcement](https://www.coderabbit.ai/blog/coderabbit-series-b-60-million-quality-gates-for-code-reviews), [TechCrunch](https://techcrunch.com/), [Business Wire](https://www.businesswire.com/).
  • Who It’s For

  • Engineering teams seeking faster, consistent PR reviews
  • Startups and mid‑size teams embracing AI‑assisted development
  • Enterprises with large codebases needing guardrails and scale
  • Solo developers wanting instant editor or terminal feedback
  • Core Use Cases

  • PR reviews with line comments, Q&A, and one‑click fixes in Git platforms
  • Pre‑commit self‑review via CLI
  • IDE review to catch bugs, AI hallucinations, smells, and missing tests during coding
  • Generating clear, accurate PR summaries for complex diffs
  • Enforcing coding standards and styles across teams
  • How the AI Agent Works

  • **Context-first approach**: indexes repositories to build a working model of the codebase for more accurate, relevant feedback .
  • **Review actions**: PR summaries, targeted comments, clarifying questions to reduce ambiguity, and suggested patches for one‑click application .
  • **Cloud-native architecture**: built on **Google Cloud Run** for scalable, reliable execution .
  • User Sentiment Snapshot

    Pros

  • Catches overlooked issues and anti‑patterns; improves consistency .
  • Speeds up approvals on routine PRs; instant feedback keeps momentum .
  • Helpful for solo devs to highlight changes and optimizations .
  • Effective at simple issues; enforces style and tests .
  • Users report it found issues they would have missed .
  • Cons

  • Consistency may vary across repos and change sets .
  • Reports of UI slowness or flaky features in some cases .
  • Occasional support responsiveness concerns .
  • Community scrutiny after a reported exploit thread; evaluate security posture for your environment .
  • Not perfect on deep, highly complex PR context yet .
  • Note: Some marketing claims about bug catch rates or time‑to‑first‑comment reductions appear in various landing pages. Treat these as directional until validated by your own proof‑of‑concept.

    Getting Started

  • Read the [Quickstart guide](https://docs.coderabbit.ai/getting-started/quickstart) and set up your preferred [platform integration](https://docs.coderabbit.ai/platforms/overview).
  • Try the **free editor** experience via the [IDE setup](https://coderabbit.ai/ide) or run a **local self‑review** with the [CLI](https://coderabbit.ai/cli).
  • Explore pricing and trials: [Pricing](https://coderabbit.ai/pricing).
  • Evaluate case studies and references: [Customers](https://coderabbit.ai/customers), [FAQs](https://coderabbit.ai/faq), [G2 reviews](https://www.g2.com/products/coderabbit/reviews), [Capterra listing](https://www.capterra.com/p/10012020/CodeRabbit/).
  • Quick Facts

  • Company: CodeRabbit — [coderabbit.ai](https://coderabbit.ai/)
  • Product: Automated AI code review agent for PRs, IDEs, and CLI
  • HQ: San Francisco, California, US
  • Team size: 51–200 employees; ~97 listed on LinkedIn
  • Security: SOC 2 Type II, GDPR; no training on customer code
  • Notable coverage: [Google Cloud blog](https://cloud.google.com/blog/products/ai-machine-learning/how-coderabbit-built-its-ai-code-review-agent-with-google-cloud-run)
  • Recent updates: [Bitbucket support announcement](https://www.coderabbit.ai/blog/coderabbit-now-supports-ai-code-reviews-with-bitbucket-cloud), [Series B announcement](https://www.coderabbit.ai/blog/coderabbit-series-b-60-million-quality-gates-for-code-reviews)
  • Looking to cut code review time and reduce bugs? Start with a low‑risk trial, connect a non‑critical repo, and benchmark CodeRabbit against your team’s current review throughput and defect escape rate.

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