CodeRabbit

CodeRabbit reviews pull requests. It installs into GitHub, GitLab, Azure DevOps or Bitbucket, and on every PR it posts a summary, a walkthrough of what changed, and line-by-line comments, many of them as committable suggestions you apply straight from the diff view. What separates it from pointing a chatbot at a patch is repository context: it indexes the surrounding codebase, so comments can reference call sites and conventions that the diff alone doesn't show.

The product has moved earlier in the loop. Alongside the PR bot there is a free VS Code / Cursor / Windsurf extension and a free CLI, and the CLI's real purpose is handing structured review feedback back to a coding agent so AI-written code gets criticized before it ever becomes a pull request. That matters because the review-volume problem CodeRabbit sells against is largely one that coding agents created. It also chains 40+ open-source analyzers (ESLint, Ruff, Semgrep, Gitleaks among them) into the same pass, so static analysis, secret scanning and LLM reasoning arrive as one set of comments instead of three separate CI checks. The review layer is model-agnostic rather than pinned to a single vendor's frontier release, which is why the entry names no specific model version: CodeRabbit does not commit publicly to one.

The competitive position is harder than it was a year ago. Greptile, Graphite's Diamond, Qodo and Cursor's Bugbot chase the same job, and more dangerously, GitHub's own Copilot code review and Google's Gemini Code Assist now ship PR review inside subscriptions many teams already hold. CodeRabbit's answer is depth and coverage: path-scoped review instructions, learnings that persist across PRs in a repo, self-hosted deployment for regulated teams, and support for all four major git providers rather than one. The company raised a $60M Series B in September 2025 led by Scale Venture Partners with NVIDIA's NVentures participating, at a reported valuation near $550M.