CodeRabbit Raises $143 Mn as AI Coding Agents Generate More Code

AI code review company CodeRabbit has raised $143 million in a Series C round at a $1.5 billion valuation, less than a year after its Series B. 

The round was co-led by Atomico and Smash Capital, with participation from BMW i Ventures, Datadog, Hirtle Callaghan, SineWave Ventures and existing investors including CRV, Scale Venture Partners and Engineering Capital.

CodeRabbit said it will use the funding for international expansion, research, infrastructure and product development. The company also plans to invest more than $10 million over the next 12 months to keep its AI code review and agent capabilities free for open-source projects and maintainers.

The funding comes as coding agents generate more code and pull requests, creating a new problem for engineering teams: deciding which changes need human attention and whether AI-generated changes are safe to ship.

“The new bottleneck is judgement,” CodeRabbit said in its announcement.

Alongside the funding, CodeRabbit has introduced a product category called Agentic Change Management. It extends the company’s AI code review system into a platform for validating, prioritising, explaining and monitoring software changes created by both humans and AI agents.

The platform includes three new capabilities: CodeRabbit Triage, CodeRabbit Change Stack and CodeRabbit Security.

Triage scores incoming pull requests based on factors such as value, urgency, risk, dependencies and readiness. It can route higher-risk changes to human reviewers while moving lower-risk changes into automated workflows.

Change Stack is designed to help developers understand large AI-generated pull requests without requiring a line-by-line review. It organises changes into semantic layers and shows their purpose, dependencies, affected systems and risks.

CodeRabbit Security extends the company’s code analysis to software already running in production. It examines relationships across files, services, data flows, authorisation boundaries and trust boundaries to identify security and business-logic risks.

“A diff shows what changed. Change Stack shows what it means,” the company said.

CodeRabbit argues that AI coding agents are reversing the traditional software development sequence. Instead of teams deciding what to build before investing significant engineering time, agents can turn product requirements, support tickets and security findings into code changes and pull requests.

The company cited data showing that GitHub is on pace for 14 times more commits this year, while autonomous agents account for 35% of pull requests among companies in the 90th percentile of coding-agent adoption.

That is shifting the pull request from a record of completed engineering work into a place where teams decide whether AI-generated work should be shipped.

“The PR is set to become the auditable planning and decision point where the team determines what to ship,” CodeRabbit said.

CodeRabbit’s expansion comes as the market for AI coding tools grows. The company now conducts more than two million code reviews a week and has more than 17,000 customers, including NVIDIA, BMW, JFrog, Trivago, Adyen and Indeed.

The company said its revenue grew more than fivefold over the past year. It also said its platform is used across more than 1,50,000 open-source projects.

CodeRabbit previously raised a $60 million Series B round in September last year.

The company has also expanded beyond pull-request reviews. In April, it launched CodeRabbit Agent for Slack, extending its code context engine into team conversations and the wider software development lifecycle. At the time, CodeRabbit said it served more than 15,000 teams and ran more than two million code reviews each week.

The company now plans to expand further into Europe and Asia, including Japan. Atomico partner Luca Eisenstecken is also joining CodeRabbit’s board.

CodeRabbit’s broader pitch is that AI can increase the amount of software produced, but human oversight still needs to keep pace. “People remain responsible for intent, architecture, product judgement, acceptable risk, and the consequences of what ultimately ships,” the company said.