AI code validation leader touts 20,000-plus customers, 120,000 daily active users, support for more than 300,000 open-source projects, connections to over 8.5 million codebase repositories

CodeRabbit, the governance and control layer for agentic software development, today announced that it has grown annual recurring revenue from $10 million to $100 million in just over a year, reflecting the rapidly accelerating demand for AI code validation. The milestone underscores CodeRabbit’s emergence as a critical part of the toolchain for every company seeking to support a fully agentic software development process.

With 20,000 customers, 120,000 daily active users, support for 300,000 open-source projects and connections to over 8.5 million codebase repositories, CodeRabbit offers the easiest way to ship software faster without sacrificing quality or security, both critical attributes as organizations embrace autonomous software development.

“Just like we saw with AI code generation, AI code validation growth is now going parabolic. AI made code generation abundant, but shipping more software has been constrained by how quickly we can trust it, creating a need for another category of AI tools for engineering teams,” said Peter Guagenti, CMO of CodeRabbit. “As the originator of that category and the category leader, we are experiencing this growth firsthand.”

CodeRabbit’s growth points to enterprises’ requirements for governance and control amid the widescale adoption of AI coding agents, as well as the rise of agents autonomously generating new code. As the agentic generation of new code explodes, it has boosted both the volume and complexity of changes, including larger pull requests that are no longer easily human readable, leaving human engineers overwhelmed. In October, CodeRabbit said weekly pull requests (PRs) among a tracked cohort of users rose 128% year over year. Today, engineering teams put more than 3 million pull requests through CodeRabbit every week.

Engineering teams can only ship software as fast as they can trust it, so they need new methods and tools to validate that trust. Sixty-two percent of tech leaders said their teams often ship AI-generated code to production without line-by-line review, according to a recent New Relic survey. Having to make a difficult trade-off between speed and quality is unacceptable for professional engineering teams, with leading organizations adopting AI code validation tools to ship at agentic speed without sacrificing code quality. To date, CodeRabbit has surfaced more than 100 million issues, which developers have used to fix bugs, security flaws and standards violations before code reached production.

“We hold every change to the same standard, however it was written,” said David Wieler, Chief AI Officer of Questrade Financial Group. “CodeRabbit gives us a consistent, independent review before anything ships, so our teams can use AI in the way that works best for them.”

The definition of code quality has also evolved in the face of agentic tools able to identify and exploit previously undiscovered vulnerabilities in software. Hackers now use agent swarms to overwhelm systems and exploit vulnerabilities cheaply and at scale. Comprehensive AI code validation tools like CodeRabbit turn the same agentic power toward defense, catching and fixing those issues before attackers reach them.

“We build AI for a living and our engineers build with it every day, so we know generating code was never the hard part. Trusting it is,” said Brian Peterson, co-founder and CTO of Dialpad, the AI platform for customer experience used by more than 50,000 companies. “We aren’t going to let the model that wrote the code decide whether it is fit to ship. CodeRabbit gives every change an independent review, tells us what it does and how risky it is, and keeps watching after it merges. Our engineers spend their time on the decisions that need a person, and we ship more with greater confidence.”

The $100M ARR milestone highlights and extends CodeRabbit’s strong 2026 momentum:

• Security. In October, CodeRabbit joined the OpenAI Daybreak Defense Network, which embeds frontier AI models directly into software security workflows, and integrated OpenAI GPT Cyber models into CodeRabbit Secure. It also committed $1 million to cover up to $5,000 in free Deep Scans per organization or open-source project. In the program’s first ten days, more than 2,700 organizations ran over 13,000 scans, surfacing 43,000-plus critical or high-severity findings, with one in three scanned repositories containing at least one. Nearly 10,000 of those vulnerabilities have already been fixed.
• Frontier model partnerships. CodeRabbit joined the OpenAI Marketplace as an anchor partner in September, following availability on Anthropic’s Claude Marketplace in May; both let customers apply existing spend commitments toward CodeRabbit under a single invoice. In October it became an authorized partner in the SpaceX Super Intelligence Partner Network and is now available in the Grok Build Plugin Marketplace. In January, it added the NVIDIA Nemotron family of open models to its review pipeline.
• Capital. Atomico and Smash Capital co-led an August $143 million Series C at a $1.5 billion valuation.
• Open source. CodeRabbit committed more than $10 million to keep AI code review and agent capabilities free for open-source projects and maintainers. Communities ran more than 1 million CodeRabbit reviews in September alone.

“The engineers of the next decade won’t spend their days writing code. They’ll be architects, setting intent and standards and judging what ships,” said Harjot Gill, co-founder and CEO of CodeRabbit. “At agent scale, no human can judge every code change line by line. So you need a layer that checks each one against your standards as fast as agents produce them, and that layer can’t be the agent that wrote the code. Reaching $100 million in ARR in just over a year tells us the industry is making that shift now.”

About CodeRabbit

Headquartered in San Francisco, CodeRabbit is the governance and control layer for agentic software development, enabling teams of every size to trust the code they ship while moving at agentic speed. As AI creates code faster than teams can review and understand it, CodeRabbit provides independent validation grounded in codebase context and team standards. It challenges changes before merge, ranks pull requests by value, impact and risk, explains what changes mean, and continuously monitors the codebase for security vulnerabilities after merge. More than 300,000 open-source projects and 20,000 customers worldwide, including Adyen, BMW, Indeed, JFrog, Nvidia and Trivago, use CodeRabbit to ship more software, faster, without sacrificing quality or disrupting their flow. For more information, visit www.coderabbit.ai.

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