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CodeRabbit
Cloud-based AI code review platform for dev teams
Table of Contents
CodeRabbit - 2026 Pricing, Features, Reviews & Alternatives


All user reviews are verified by in-house moderators and provider data by our software research team. Learn more
Last updated: September 2026
CodeRabbit overview
What is CodeRabbit?
CodeRabbit is a cloud-based AI-powered code review platform that automates pull request reviews, triages and prioritizes PR queues, scans for security vulnerabilities, and generates structured coding plans. It operates across pull requests, IDE extensions (VS Code, Cursor, Windsurf), and the CLI, integrating with GitHub, GitLab, Azure DevOps, and Bitbucket. Designed for engineering teams of all sizes, from individual open-source maintainers to large enterprises, it functions as a central validation and change management layer for both human-written and AI-generated code. A free tier is available for public open-source repositories; paid plans (Pro, Pro+, Enterprise) cover private repositories and larger teams. The Enterprise plan adds self-hosting via customer-owned AWS or GCP environments, multi-organization support, custom RBAC, audit logging, and SLA support.
CodeRabbit delivers context-aware, line-by-line inline PR comments generated using large language models combined with codebase context, file dependencies, change history, CI output, and linked issue data. Codegraph analysis maps cross-file dependencies to assess change impact. PR Triage scores, ranks, and routes pull requests by value and risk. Change Stack visualization breaks large diffs into logical layers with summaries and architectural diagrams. CodeRabbit Security scans repositories for code vulnerabilities, leaked secrets, and vulnerable dependencies, tracing suspected vulnerabilities, evaluating reachability and exploitation conditions, and proposing fixes within the PR workflow. CodeRabbit Plan generates structured, editable, agent-ready coding plans from issues or text prompts. A Slack and Discord agent supports investigation, planning, PR creation, and agentic SDLC workflows. Review behavior is configurable via YAML, and team Learnings capture reviewer feedback to improve review quality over time.
The platform tracks engineering performance through an analytics dashboard covering PR throughput, review cycle time, comment acceptance rates, and AI impact metrics. With 40+ integrations spanning linters, SAST tools, Jira, Linear, MCP servers, and web query, CodeRabbit fits into existing development toolchains. Agentic workflows support automated unit test generation, docstring creation, merge conflict resolution, multi-file edits, and PR creation. It integrates with AI coding agents including Claude Code, Codex, Cursor, and Gemini to support generate-review-iterate cycles. The platform is SOC 2 Type II certified and applies end-to-end encryption with zero data retention post-review.
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