CodeRabbit
Agentic AI code review, security scanning and triage that reviews, secures and prioritises every change before it merges.
By CodeRabbit · 4.2/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Engineering teams with high pull-request volume that want AI review on every PR and CLI change.
- Organisations adopting AI coding agents that need an independent review and verification layer.
- Security-conscious platform teams wanting continuous, reasoning-based vulnerability review in the PR flow.
- Enterprises that need self-hosting, EU SaaS, SSO/RBAC, audit logging and dedicated support.
Ideal size: 20–500 developers people · Scale-up or enterprise with an established pull-request review and CI process
Not for
- Teams that do not work through pull requests on GitHub, GitLab, Azure DevOps or Bitbucket.
- Very small teams with only a handful of commits per week, where review load is not the bottleneck.
- Buyers wanting a pure rule-based SAST scanner rather than an AI reasoning engine.
Value metrics scorecard
Time-to-Value
Under a week (2-click install)
~7 days to first production value
Total Cost of Ownership
$14,400/yr
Starts at $288 · Per developer, per month, billed annually (20% saving vs monthly); free for public open-source repositories; custom Enterprise pricing.
Implementation Friction
1/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
No seat minimum stated; charged only for developers who open pull requests; seats can be reassigned at any time.
Add-on costs
- Usage-based reviews after the hourly allowance: $0.25 per reviewed file
- CodeRabbit Agent cloud, Slack and automation tasks: $0.40 per agent minute
- CodeRabbit Security Scan full-codebase scans: variable pricing quoted by codebase size
- Continuous security monitoring and per-PR security review require Advanced or Enterprise plans
Company & support
Who is behind CodeRabbit, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumAll plans
- Help centre / docsAll plans
- Dedicated account managerEnterprise only
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Primary route is the in-app help centre ('Contact Support'); a Discord community and public docs are available. Enterprise adds SLA support, technical enablement and a dedicated CSM.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where CodeRabbit sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.
Companies on the chart 6 / 10
- CodeRabbit
- Railway
- Framer
- Caspio
- Notion
- Preset
Add or change companies
Up to 10 companies including CodeRabbit. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
A community or partner MCP server covers this. Usable today, though not maintained by the vendor.
AI & MCP readiness
What CodeRabbit ships in AI, and what it asks of your ecosystem.
AI features shipped
CodeRabbit runs an ensemble of models with agentic loops across PRs and the CLI: conversational review, learnings that adapt to team conventions, coding-agent loops, auto-fixes, and security findings that trace data flow across files before drafting fixes.
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- OpenAI, Anthropic
- AI pricing
- Included in the plan
In your ecosystem
- AI connection
- Community MCP server
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
CodeRabbit is an AI code review and agentic change-management platform used by 17,000+ customers and installed on over 6 million repositories. It reviews every pull request across GitHub, GitLab, Azure DevOps and Bitbucket, adds conversational fix suggestions plus pre- and post-merge checks, triages review queues, and runs continuous security scans that reason across files and draft fixes. Plans start at $24 per developer per month billed annually, with a 14-day trial and free reviews for public repositories.
Frequently asked questions
How long does it take to get CodeRabbit running on our repositories?
Installation is a two-click GitHub or GitLab app install and reviews begin on the next pull request, so first value typically arrives in days rather than weeks. Every plan includes a 14-day free trial with no credit card required.
What does CodeRabbit cost for a 50-developer team?
Essentials is $24 per developer per month billed annually, Team is $48 and Advanced is $72, so a 50-developer team on Team is roughly $28,800 per year. You are charged only for developers who open pull requests, and reviews beyond the hourly allowance are billed at $0.25 per reviewed file.
Does CodeRabbit use our code to train AI models?
No. CodeRabbit's privacy policy states that neither CodeRabbit nor OpenAI nor Anthropic uses personal information collected as part of the code review to train, refine or otherwise influence models. The exception is open-source projects, whose code is used to train CodeRabbit's systems.
Is CodeRabbit secure enough for regulated engineering teams?
CodeRabbit states that code is encrypted through review, nothing is stored after the review, and the company is SOC 2 Type II audited annually. Enterprise adds SSO, custom RBAC, audit logging, a self-hosting option, EU SaaS deployment and marketplace billing.
Which source control and collaboration platforms are supported?
GitHub (including Enterprise Server), GitLab (cloud and self-managed), Azure DevOps and Bitbucket, plus CLI and IDE usage. Slack and Discord agents, Jira and Linear integrations, and MCP connections bring additional context into reviews.