CodeRabbit
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Last reviewed
Jun 4, 2026
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Review status
Source-backed
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v1 · 2,014 words
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CodeRabbit is an AI-powered code-review platform that automatically reviews pull and merge requests on GitHub, GitLab, Azure DevOps, and Bitbucket, giving developers line-by-line feedback, change summaries, and one-click fixes. Built by CodeRabbit, Inc. (coderabbit.ai), the product applies large language models to understand the intent behind code changes and deliver review comments that the company likens to those of a senior engineer. The company was founded in early 2023 by Harjot Gill and Gur Singh and is based in the San Francisco Bay Area. CodeRabbit grew quickly on the back of the generative AI coding boom, raising a $16 million Series A in 2024 and a $60 million Series B in September 2025 that valued it at roughly $550 million. By 2025 it described itself as the most-installed AI application on both the GitHub and GitLab marketplaces, with millions of repositories connected and tens of millions of pull requests reviewed.
CodeRabbit was founded in early 2023 by Harjot Gill, who serves as chief executive officer, and Gur Singh. Gill is a serial entrepreneur who came to the United States as a doctoral student at the University of Pennsylvania. He earlier co-founded Netsil, a cloud application-monitoring startup that was acquired by Nutanix in 2018, after which he served as a senior director of technology at Nutanix. He then founded FluxNinja, an observability and reliability startup whose flagship open-source product, Aperture, provided rate limiting, concurrency control, caching, and request prioritization for AI workloads. Co-founder Gur Singh previously led engineering and product teams at Alegeus, a white-label healthcare-payments company.
FluxNinja's technology became part of CodeRabbit's foundation. The company announced in March 2024 that FluxNinja had joined CodeRabbit, and it disclosed that it had been using Aperture since launch to manage OpenAI API rate limits and control costs, prioritizing paid and real-time chat users during peak hours while queuing free-tier requests. The company credited that infrastructure with letting it scale past 100,000 repositories and several thousand organizations without a waitlist.
CodeRabbit launched and grew initially on a bootstrapped budget. By the time of its Series A it said it had reached more than $1 million in annual recurring revenue in under a year while still self-funded.
CodeRabbit announced a $16 million Series A on August 13, 2024, led by CRV (Charles River Ventures). The round also included Tod Sacerdoti of Flex Capital and Ashmeet Sidana of Engineering Capital, along with a group of operator-mentors. Reid Christian, a general partner at CRV, joined the company's board. CodeRabbit said the round brought total funding to just under $20 million and that proceeds would fund hiring across engineering, product, and go-to-market, plus integrations with tools such as Jira and Slack and new capabilities in security analysis, test generation, and documentation. The company reported on TechCrunch's account that around 600 organizations were paying customers at the time, with pilots underway at several Fortune 500 companies.
On September 16, 2025, CodeRabbit announced a $60 million Series B led by Scale Venture Partners, with participation from NVentures (the venture arm of NVIDIA) and returning investors CRV, Harmony Partners, Flex Capital, Engineering Capital, and Pelion Venture Partners. The round valued the company at about $550 million post-money and brought total capital raised to $88 million. TechCrunch reported that CodeRabbit had passed $15 million in annual recurring revenue, growing roughly 20% month over month, and had more than 8,000 paying customers. The company framed the raise around "vibe coding," arguing that the surge of AI-generated code created a new need for automated quality gates and human-free first-pass review.
| Round | Date | Amount | Lead investor | Selected other investors |
|---|---|---|---|---|
| Series A | August 2024 | $16 million | CRV | Flex Capital, Engineering Capital |
| Series B | September 2025 | $60 million | Scale Venture Partners | NVentures (NVIDIA), CRV, Harmony Partners, Flex Capital, Engineering Capital, Pelion Venture Partners |
Total disclosed funding stands at $88 million following the Series B.
CodeRabbit positions itself as an automated reviewer that sits inside existing developer workflows rather than replacing them. Its core surfaces are reviews on pull/merge requests, reviews inside the IDE, and reviews from the command line.
When a pull request is opened on a connected platform, CodeRabbit posts an automated review. A typical review includes a high-level summary of the changes, a file-by-file walkthrough, an optional architecture or sequence diagram, and inline, line-by-line comments that flag bugs, style issues, and potential security problems. Many comments come with committable code suggestions, and the platform offers one-click fixes that apply a suggestion back into the branch. CodeRabbit analyzes a change against the whole codebase, file dependencies, and a project's history rather than the diff in isolation, and it can generate and run scripts for deeper static analysis. The company claims the system catches the large majority of bugs in reviewed code.
Reviews are interactive. Developers can reply to the bot, mention @coderabbitai in a comment, and ask it to explain a finding, generate unit tests, draft documentation or docstrings, or open follow-up issues in Jira, Linear, or GitHub. This conversational, task-executing behavior places CodeRabbit among the growing class of coding-focused AI agents. The platform also "learns" from a team over time: when reviewers accept, reject, or correct its comments, it records those preferences and adjusts future reviews, and teams can encode coding guidelines and custom rules in a YAML configuration file.
CodeRabbit ships an extension that brings the same review engine into the editor, with support for Visual Studio Code, Cursor, and Windsurf. Inside the IDE it reviews staged and unstaged changes before a pull request is ever opened, leaves inline comments, offers one-click fixes, and can hand its recommended changes and gathered context to an AI coding agent to apply. The company offers these IDE reviews free of charge, subject to rate limits.
Alongside its Series B, CodeRabbit announced a command-line interface that reviews code locally and is designed to plug into agentic coding tools. It integrates with assistants such as Claude Code, Cursor's CLI, and Gemini, creating a real-time feedback loop in which an AI agent writes code and CodeRabbit reviews it before changes are committed. The company also offers planning features that turn issues from Jira or Linear into implementation plans, and integrations that let developers trigger reviews or open pull requests from Slack.
CodeRabbit does not depend on a single model. The company says it runs an ensemble of frontier models from multiple labs and uses an orchestration layer that routes different parts of a review to whichever model performs best for that task, drawing on OpenAI and Anthropic systems among others. The company has publicly discussed using models such as Anthropic's Claude Sonnet line and OpenAI's GPT-5-Codex for review workloads and has written about evaluating new frontier releases for their bug-detection recall. Its rationale is that the best model for generating code is not necessarily the best for finding bugs, writing documentation, or running static analysis.
CodeRabbit advertises end-to-end encryption of code during review and zero data retention after a review completes, and it says its security is validated annually through independent SOC 2 Type II audits. Enterprise deployments add role-based access control, single sign-on, audit logging, API access, self-hosting, and multi-organization support.
CodeRabbit uses seat-based subscription pricing keyed to active pull-request authors, with a free tier and a permanently free offering for open-source projects. Published plans (billed annually) include the following.
| Plan | Price (annual) | Highlights |
|---|---|---|
| Free | $0 per user/month | PR summaries, IDE and CLI reviews, unlimited public and private repositories, 14-day Pro Plus trial |
| Pro | $24 per user/month | Full PR reviews, linters and SAST, Jira and Linear integration, agentic chat, analytics, docstrings, autofix |
| Pro Plus | $48 per user/month | Everything in Pro plus custom pre-merge checks, unit-test generation, merge-conflict resolution, and the CodeRabbit planning product |
| Enterprise | Custom | RBAC, SSO, audit logging, API access, self-hosting, multi-org support, SLAs, dedicated support |
The company has also offered a lower-cost Lite plan (reported around $12 per user/month) and usage-based add-ons for unrestricted CLI and pull-request reviews, plus pay-as-you-go pricing for its Slack agent.
CodeRabbit grew rapidly through bottom-up, self-serve adoption on the GitHub and GitLab app marketplaces, where installation takes only a couple of clicks. Its reported milestones include the following, drawn from the company's funding announcements and press coverage.
| Milestone | Figure | As of |
|---|---|---|
| Annual recurring revenue | More than $1 million | Series A (2024) |
| Annual recurring revenue | More than $15 million | Series B (Sept 2025) |
| Paying customers | More than 8,000 | Series B (Sept 2025) |
| Repositories with CodeRabbit installed | About 2 million | Series B (Sept 2025) |
| Pull requests reviewed | About 13 million | Series B (Sept 2025) |
| Open-source projects using CodeRabbit | More than 100,000 | Series B (Sept 2025) |
At the Series A in 2024 the company reported more than 16,000 GitHub Marketplace installations, over 150,000 repositories under review, more than 300,000 open-source pull requests reviewed, and over 10,000 daily active developers. Named customers disclosed around the Series B include Chegg, Groupon, Life360, and the fintech Mercury. CodeRabbit cited Groupon as having cut the time from review to production from 86 hours to 39 minutes, and said it had grown revenue roughly tenfold over the prior year while doubling headcount.
Reporting after the Series B indicated continued steep growth. The market-data firm Sacra reported that CodeRabbit reached roughly $40 million in annual recurring revenue by April 2026, up about 700% year over year, and that headcount had expanded into the low hundreds, figures the company has not formally confirmed.
CodeRabbit operates in a fast-growing market for AI tools that review, rather than only generate, code, a category that expanded as AI coding assistants pushed far more code into review queues. Competitors include dedicated review startups such as Graphite and Greptile, established code-quality vendors such as SonarQube and DeepSource, and the review features inside platform tools like GitHub Copilot and GitLab Duo. It also overlaps with general-purpose coding agents such as Anthropic's Claude Code and Cursor, some of which CodeRabbit simultaneously integrates with as a reviewing layer. Backing from NVIDIA's venture arm in the Series B signaled strategic interest from the broader AI-infrastructure ecosystem.