CodeRabbit

• Putting an automatic first review on every pull request so human reviewers start from a summary, a risk rating and flagged issues
• Reviewing the PRs that Claude Code, Codex or Cursor agents open, and letting the agent fix CodeRabbit's findings before a person looks
• Running a CLI or IDE review on local changes before pushing, or inside a coding agent's loop through the CLI's agent mode
• Enforcing team rules such as PR description templates, docstring coverage or custom natural-language requirements as pre-merge checks
• Working a backlog of open pull requests across many repositories through one ranked Triage queue and a Slack digest
• Baselining an existing codebase with a Deep Scan and blocking merges on critical security findings with the GitHub Security check

CodeRabbit's pitch has shifted from a review bot to what it calls the governance layer for agent-written code, and the product mostly backs that up: the same reviewer runs in the editor, in the CLI inside a coding agent's loop, and on the pull request, where checks, approval limits and the new Security check decide what merges. Its broad Git platform support is a real differentiator against reviewers tied to one host. The part to model carefully is cost. Seats look simple, but hourly per-developer caps, per-file overage, metered Deep Scans and agent minutes mean heavy agent-driven PR volume costs more than the headline price, so look at the review usage dashboard during the 14-day trial. Secure is the newest and least settled part: it is in beta, its best pieces are GitHub-first, and the per-scan price is not published. Teams that only need an independent first review can start with Essentials, and Advanced is worth testing only if you want PR-level security grading.

About CodeRabbit

CodeRabbit sits on the merge path rather than in the editor. You sign in with your Git provider, add an organization, and from then on new pull requests get a review automatically (default-branch reviews are on by default), with incremental reviews as new commits land. Each review writes a plain-language summary into the PR description, posts a walkthrough comment and a Merge Risk rating, and leaves line-level comments with committable suggestions. Behind each review, per CodeRabbit's architecture docs, the repository is cloned into a sandbox, 50+ linters and SAST tools (ESLint, Ruff, Semgrep, Betterleaks, OSV-Scanner and others) run alongside the AI agents, and the reviewer explores the codebase for context beyond the diff. Context also comes from learnings (preferences you teach it by replying to comments), guideline files it detects such as CLAUDE.md, AGENTS.md and .cursorrules, linked Jira, Linear or GitHub issues, MCP servers and linked repositories. You talk to it with @coderabbitai in the PR. Around the review, the paid tiers add gates and follow-up work: built-in and natural-language custom pre-merge checks, automatic approvals capped at a risk level, early-access slop detection for low-quality AI-generated PRs, and finishing touches that fix review findings, fix failing CI, resolve merge conflicts, generate unit tests or docstrings, delivered as a commit or a stacked PR. Change Stack turns a PR into a navigable review workspace, and Triage (Team plan and up) ranks open PRs across repositories into one queue with actions and Slack digests. The same reviewer runs before a PR exists: a VS Code extension (also Cursor, Windsurf and Antigravity) reviews uncommitted changes, and a CLI in open beta reviews local Git changes and has an agent mode, plus plugins and integrations so Claude Code, Codex, Cursor or Gemini can review and fix their own work in a loop. CodeRabbit Secure, in open beta, adds security: continuous PR security review with reachability and exploitability grades on the Advanced and Enterprise plans, and Deep Scan, a separately metered whole-repository scan for exploitable vulnerabilities and exposed secrets. The October 27, 2026 release let Deep Scan read up to 20 linked repositories, added delta scans, a reproducer guide plus optional sandboxed Runtime Analysis for findings, a GitHub check that can block merges on critical findings, and Jira and Linear ticket routing. Pricing is per developer who opens pull requests, from $24 to $72 a month billed annually, with a free tier for public repositories. The tradeoffs: each plan caps reviews per developer per hour, Deep Scan and the cloud coding agent are billed on top of seats, several newer pieces (Secure, the CLI, Triage on GitLab, Runtime Analysis) are in beta and GitHub gets features first, code is sent to OpenAI and/or Anthropic models for review, and self-hosting is reserved for Enterprise customers with 500+ seats.