How does CodeRabbit handle AI-generated code from tools like GitHub Copilot or Cursor?

This is exactly the problem CodeRabbit was designed for. As AI coding assistants generate code faster than human reviewers can check it, PR queues grow exponentially. CodeRabbit steps in as a governance layer — automatically reviewing every PR, catching bugs, security vulnerabilities, and style violations, and reducing the human review burden by up to 50%. Customers like Groupon report cutting review-to-production time from 86 hours to 39 minutes.

Who are CodeRabbit's main enterprise customers?

CodeRabbit serves over 9,000 organizations including Chegg, Groupon, Mercury, Writer, Abnormal Security, Sisense, Ashby, and Clerk. The platform is branded as the most-installed AI app on both GitHub and GitLab, with reviews running across more than 2 million repositories and over 13 million pull requests processed as of 2025.

What makes CodeRabbit different from GitHub Copilot or bundled code review tools?

While tools like Cursor and GitHub Copilot are expanding into code review as a bundled feature, CodeRabbit CEO Harjot Gill argues that specialization wins. CodeRabbit offers deeper context awareness — pulling from tickets, architectural docs, and full code graphs — and runs over 40 independent linters and static analysis tools that bundled IDE solutions do not replicate. It is purpose-built for the review layer, not the writing layer.

CodeRabbit

Freemium🇺🇸🇺🇸 United StatesScaling Losses

The AI code reviewer that catches what humans miss — on every pull request

Code Assist

Overall score

Heat score

Claim Tool Suggest Edits

Pricing

Open Source (Free Forever)$0/month — free for all public repositories

Lite$12/month per active contributor

Pro$24/month per active contributor

EnterpriseCustom — contact sales

Purchase Subscription

Technical Specs

Inputs

Pull Request Diff, Codebase Repository, GitHub Issue, GitLab Issue, CI/CD Pipeline Log, Uncommitted Code Changes, System Prompt Instructions

Outputs

Line-By-Line Code Review, PR Summary, Bug Report, Security Vulnerability Alert, Code Suggestion, Sequence Diagram, Release Notes, Sprint Report, Implementation Plan, Pipeline Fix

AI Type

Agentic AI

Model Architecture

Retrieval-Augmented Generation (RAG)

Daily Prompts

N/A

Context Length

N/A

Output Quality

Accuracy

95%

Content

92%

Reasoning

94%

Company Profile

Company

CodeRabbit Inc.

Founded

2023

Walnut Creek, California, USA

Employees

138

Total Raised / Total Funding

$88M

Revenue

$15M

Valuation

$550M

ARR

$15M

CEO

Harjot Gill

Overview

Estimated Paid Users

50K

Current estimate

Total Earnings Till Date

$15M

+10.34% from last month

Market Share

18.6%

Current share

Average Session

Per active user

Hallucination Rate

Model quality signal

Growth Rate

+13.79%

Monthly active users

Burn Rate

N/A

Total expenses / years active

Paid User Gain

+35.00%

Monthly paid user trend

No demo video available yet.

Platforms

Web App

Available

Profit Analysis

-$62M

Total Loss

$89.2M

Total Profit

Performance Metrics

Accuracy

95%

Context

92%

Reasoning

94%

Safety

91%

Benchmarks

No benchmark scores available.

CodeRabbit Models

CodeRabbit v1 (GPT-4 powered)

Type: Text

Description: Initial release using OpenAI GPT-4 as the underlying review model. Provided PR summaries, inline line-by-line comments, and basic bug detection. Used FluxNinja Aperture for rate limiting OpenAI API calls at scale.

Architecture: Retrieval-Augmented Generation (RAG)

CodeRabbit v2 (Multi-model)

Type: Text

Description: Introduced multi-model architecture supporting GPT-4, Claude, and Gemini as selectable or auto-routed review engines depending on task type. Added code graph context understanding for cross-file dependency awareness.

Architecture: Retrieval-Augmented Generation (RAG)

CodeRabbit v3 (Agentic + 40+ linters)

Type: Text

Description: Current production platform. Combines frontier LLMs with 40+ integrated linters and static analysis tools (ESLint, Semgrep, Bandit, etc.) in ephemeral sandbox environments. Supports agentic interactions — developers can instruct the bot to write tests, open issues, and apply fixes from within PR threads. Context includes tickets, docs, and full repo code graphs.

Architecture: Retrieval-Augmented Generation (RAG)

Funding Rounds & Investors

Total Funding

$88M

Rounds

Funding Update

$60M

Sep 2025

Announced September 16, 2025. Led by Scale Venture Partners; Andy Vitus joined CodeRabbit's board. Strategic participation from NVentures (NVIDIA's venture arm) reflects interest in AI developer tooling infrastructure. Brought total funding to $88M at $550M post-money valuation. ARR exceeded $15M at close with 20%+ monthly growth and 8,000+ enterprise customers. Funds allocated to global hiring, product development, and platform expansion into CI/CD failure remediation.

Funding Update

$16M

Aug 2024

Announced August 14, 2024. Led by CRV (Charles River Ventures). Brought total funding to ~$20M. Coincided with rapid enterprise traction — CodeRabbit was growing 20% month-over-month and serving hundreds of paying teams. Funds used to expand enterprise features including SSO, audit logs, and self-hosted deployment. CRV General Partner promoted to Partner in part citing this investment.

Funding Update

$4M

Mar 2024

Filed notice of exempt equity offering raising ~$4M in new equity investment. Earliest confirmed external capital used to build out the platform, scale infrastructure, and expand integrations beyond GitHub to GitLab and Azure DevOps. Tracxn records this as the first external funding round for CodeRabbit Inc.

Founders/Team

Harjot Gill

Co-Founder & CEO

Guritfaq Singh

Co-Founder & COO

Vishu Kaur

Co-Founder

Direct competitors

No direct competitors available.

Change Log / Major Updates

2025 · Jul 1

Completed third-party SOC 2 Type II audit, a critical milestone for enterprise sales. Confirmed that code reviews run in ephemeral containers, LLM prompts are not retained, and customer code is never used to train external models.

2025 · Sep 16

Raised $60M Series B led by Scale Venture Partners, with participation from NVentures (NVIDIA), CRV, Harmony Partners, Flex Capital, Engineering Capital, and Pelion Venture Partners. Total funding reached $88M. ARR exceeded $15M. Serving 8,000+ enterprise customers. Andy Vitus of Scale Venture Partners joined the board.

2026 · Jan 1

By early 2026 CodeRabbit reported reviews running across more than 2 million repositories and over 13 million pull requests processed. Revenue doubled within six months of the Series B close, confirming 20%+ monthly growth trajectory. Headcount grew to 138+ employees.

Compliance, Integrations & Support

Industry: Not specified

Compliances: Not specified

Integrations: GitHub, GitLab, Azure DevOps, Bitbucket, JIRA, Linear, VS Code, CLI, Slack, Claude API, OpenAI, FluxNinja Aperture, CodeRabbit API

Support:email, help center, community forum, priority support, dedicated account manager

Target audience: Software Engineers, Senior Developers, Engineering Managers, DevOps Teams, Platform Engineers, Open Source Maintainers, Enterprise Engineering Teams, CTOs, Startups

Supported languages: English, Python, JavaScript, TypeScript, Java, C++, C#, Go, Rust, Ruby, PHP, Swift, Kotlin, Scala, Shell, SQL, HTML, CSS, YAML, JSON, Terraform

CodeRabbit Acquisitions

FluxNinja

June 1, 2023

N/A

Reviews & Rating

0 reviews

No reviews yet

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Accuracy

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Output Quality

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Security

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Social Feed

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More About CodeRabbit

The math started breaking in 2023. Before AI coding assistants, a senior engineer reviewed 5–10 pull requests a day. After GitHub Copilot and Cursor went mainstream, those same engineers were staring at 20–30 PRs a day — code written faster than any human could meaningfully review it. Teams faced a binary choice: slow down deployments waiting for thorough reviews, or rush reviews and let quality slip. Harjot Gill, who had spent a decade building infrastructure tools at Nutanix and through two previous startups (Netsil, acquired by Nutanix; FluxNinja, later acquired by CodeRabbit itself), saw the bottleneck forming before most of the industry did. He co-founded CodeRabbit in early 2023 with Guritfaq Singh and Vishu Kaur to build the quality gate that AI-generated code demanded.

The product insight that separates CodeRabbit from simpler PR summary tools is architectural depth. When a developer opens a pull request, CodeRabbit does not just read the diff. It clones the entire repository into an isolated sandbox, builds a code graph that maps every cross-file dependency in the codebase, runs 40+ linters and static analysis tools simultaneously, and then applies its AI models with full codebase context — understanding how a change in one file affects the behavior of five others that were not touched. The output is not a generic warning. It is a specific, actionable, codebase-aware comment that reads like it came from a senior engineer who has been on the project for months. Customers including Chegg, Groupon, and Mercury report cutting their human code review workload by half. CodeRabbit's own December 2025 State of AI vs Human Code Generation Report found that AI-written code produces 1.7x more issues per line than human-written code — a finding that is simultaneously the company's biggest market risk and its most powerful sales argument. The faster AI writes code, the more essential CodeRabbit becomes. $88M raised. $550M valuation. $15M ARR. 100,000+ open source projects. 8,000+ paying businesses. 20% month-over-month growth. And a product that, in Gill's words, is "the most important missing piece of AI-powered development."

CodeRabbit FAQ's

What is CodeRabbit and how does it work?

CodeRabbit is an AI-powered code review platform that integrates with GitHub, GitLab, Azure DevOps, and Bitbucket. When a developer opens a pull request, CodeRabbit automatically clones the code changes and broader codebase into an isolated sandbox, builds a code graph mapping cross-file dependencies, runs over 40 linters and static analysis tools, and posts line-by-line review comments within minutes — acting like a senior engineer reviewing the PR.

Is CodeRabbit free for open source projects?

Yes. CodeRabbit offers a forever-free tier for open source projects with no seat limit. This serves as a major acquisition channel — over 100,000 open source developers use CodeRabbit for free, many of whom convert to paid plans when their projects commercialize.

How much does CodeRabbit cost?

CodeRabbit offers four plans: Free (open source only), Lite at $12/month per active contributor, Pro at $24/month per active contributor, and Enterprise with custom pricing for organizations with 500+ seats or self-hosted deployment needs. Pricing is seat-based and targets active pull request authors rather than all developers on a team.

Does CodeRabbit train models on my code?

No. CodeRabbit does not use code submitted during reviews to train or influence AI models. Reviews run in ephemeral, isolated containers. LLM prompts are not retained. Repository data may be cached for up to seven days for performance, but this can be disabled. CodeRabbit completed a third-party SOC 2 Type II audit in 2025.

Which platforms does CodeRabbit integrate with?

CodeRabbit integrates natively with GitHub, GitLab, Azure DevOps, and Bitbucket for pull request reviews. It also has a VS Code extension for reviewing uncommitted local changes and a CLI tool for terminal and AI agent workflows. Issue tracker integrations include Jira and Linear, allowing the AI to open tickets or link issues directly from PR comments.