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“I want someone to review my code before it breaks”

Vibe coders and small teams publishing AI-generated code without expert review. A bug in production always costs more than a review.

Recommended agent: CodeRabbit

💰 About $0 to $15/month per developer (free plan for open-source projects). Level: Intermediate 🌍 United States Free for open-source projects, no time limit

CodeRabbit (coderabbit.ai): it automatically reviews every change to your code, flags bugs and flaws, and suggests fixes — like a tireless senior developer.

How it works

Trigger: A code change is proposed — reviews the code, flags bugs, and suggests fixes, and you get a technical review to validate before merging.

Step-by-step setup

Create a CodeRabbit account and connect your GitHub repository.
It automatically comments on your next changes.
Read its feedback and apply the suggested fixes.
Adjust its rules to your project's conventions.

⚠️ Guardrails: Stay critical: the AI sometimes flags false problems. Only give it access to the repositories concerned, not your whole organization.

🔧 Technical details

Installation: hybrid — cloud service connected to Git platforms, IDE extension and CLI for local reviews, and self-hosted deployment on Enterprise.
Prerequisites: A CodeRabbit account and installation on GitHub, GitLab, Azure DevOps, or Bitbucket. Self-hosting: Enterprise plan, 500 seats and up, and a container image to deploy on a server, a container platform, or serverless.
Hardware: no CPU/RAM sizing published for the self-hosted image.
Self-hosting: yes — Enterprise only (500 seats and up): container image deployed in the client's infrastructure, for GitHub Enterprise Server, GitLab self-managed, Azure DevOps, and Bitbucket Data Center, with the client's LLM provider.
API & integrations: API: yes — REST management and metrics API, authenticated by workspace API tokens. · SDK: Not documented · CLI: yes — official CLI to launch reviews from the terminal (own limits per plan). · Webhooks: Not documented · MCP: yes — documented MCP server (context and metrics); MCP included in paid plans, with a number of MCP server connections capped per plan.
Models: Self-hosted, the client brings their own LLM provider (BYO LLM). Cloud-side, the documentation speaks of several AI models without publishing the exact list in the pages consulted: cloud list non_documente.
Data: Self-hosted, code, pull request data, and review traffic stay within the client's network perimeter, with the client's LLM provider (BYO LLM); a Reverse Tunnel avoids any inbound access. For the cloud service, data retention and training: non_documente.
Documented limits: Review limits per developer per hour (sliding windows), per the official plans page updated on 2026-10-20: IDE/CLI from 3 (free) to 12 (Enterprise); files per review: 150 (free to Essentials) then 300, beyond 300 files not supported; chat from 50 to 100 depending on plan. Linked repositories: 0/1/5/10/20 from free to Enterprise; MCP server connections: 5 to 20 on paid plans.
Operations: REST administration API (organizations, repositories, metrics, learnings, users, roles, Deep Scan results) with workspace API tokens; audit logs via the API on Enterprise (Admin role); custom roles and SSO user management via the API; documented SSO.

Not documented in the official sources: License.

Official sources: docs.coderabbit.ai · docs.coderabbit.ai · docs.coderabbit.ai — verified on November 1, 2026.

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Frequently asked questions

How much does CodeRabbit cost?

About $0 to $15/month per developer (free plan for open source projects). Free for open source projects, with no time limit.

Is CodeRabbit free?

Yes. Free for open source projects, with no time limit.

Is CodeRabbit hard to get started with?

Level: Moderate. Setup takes 4 steps; the first one: Create a CodeRabbit account and connect your GitHub repository.

What limits and guardrails should you know about with CodeRabbit?

Stay critical: the AI sometimes flags false problems. Only give it access to the repositories concerned, not your whole organization.