AI Code Review Startup CodeRabbit Raises $143M at $1.5 Billion Valuation

AI Code Review Startup CodeRabbit Raises $143M at $1.5 Billion Valuation

CodeRabbit has raised $143 million in Series C funding at a $1.5 billion valuation and introduced Agentic Change Management, an expanded platform for evaluating and governing software changes created by developers and AI coding agents. Atomico and Smash Capital co-led the round, which comes less than a year after the San Francisco-based company raised $60 million in Series B financing.

The new platform broadens CodeRabbit beyond its core AI code review product. It is designed to help engineering teams determine which proposed changes warrant attention, understand their potential impact, verify them before deployment and monitor code for security issues.

That expansion comes as CodeRabbit reports rapid growth in its existing business. The company says revenue has increased more than fivefold year over year, while its technology now handles over 2 million code reviews each week. More than 17,000 customers use the platform, including Adyen, BMW, Indeed, JFrog, NVIDIA, Trivago and Campfire.

CodeRabbit's premise is that wider adoption of coding agents is changing where engineering teams spend their time. When software can be generated and submitted more quickly, reviewing those changes and deciding whether they belong in production becomes a larger part of the development process.

“Code changes now originate across the software organization, including from developers, non-technical personnel, as well as from coding agents to issue trackers, support systems, and production alerts,” CodeRabbit co-founder and CEO Harjot Gill said. “Every change creates a decision for the team.”

CodeRabbit evaluates proposed changes using information that extends beyond the individual files being modified. Its system incorporates context from across a repository, company standards, internal knowledge and checks performed before code is merged. It can also use evidence produced in isolated test environments when assessing a change.

Coding agents can then respond to issues found during that process. CodeRabbit supports automated cycles in which problems are identified, fixes are generated and the updated code is reviewed again before a person becomes involved.

Agentic Change Management adds three capabilities around that process. CodeRabbit Triage is intended to determine how incoming pull requests should be handled. It considers criteria including urgency, value, dependencies, risk, readiness and the appropriate reviewer, allowing teams to distinguish changes requiring human attention from those that can continue through automated processes.

Change Stack addresses the difficulty of understanding larger software changes. Instead of presenting a proposal only through the files it modifies, the feature organizes the work around areas such as application behavior, integrations, migrations and tests. Architecture and blast-radius analysis provide additional context about how one change could affect other parts of a codebase.

CodeRabbit Security brings the company's analysis into vulnerability detection and production monitoring. It scans repositories and continuously examines deployed code, with findings verified and prioritized before fixes are sent through the pull request process.

The security system uses CodeRabbit's codegraph technology to examine relationships throughout a repository, including trust boundaries. The company says this allows it to look for problems that may be difficult to identify through fixed security rules or analysis confined to individual files. CodeRabbit says the technology is built to detect issues including authorization bypasses, insecure direct object references and flaws in business logic. Potential vulnerabilities are checked against evidence from the code before being presented to users. “As AI becomes critical infrastructure for the global economy, organisations will increasingly need independent governance layers that can validate software regardless of which model produced it,” Atomico Partner Luca Eisenstecken said.

That model-independent approach is central to CodeRabbit's positioning. Rather than competing primarily to generate more software, the company is building a layer for reviewing and managing changes regardless of the AI system or person responsible for creating them.

CodeRabbit Triage, Change Stack and CodeRabbit Security are available through the company's platform and are being offered to existing customers.

Open-source software is another focus of the new investment. More than 150,000 open-source projects currently use CodeRabbit, and the company plans to spend over $10 million during the next 12 months to keep its AI review and agent capabilities free for open-source projects and maintainers.

The Series C also adds several investors to CodeRabbit's shareholder base. BMW i Ventures, Datadog, Hirtle Callaghan, SineWave Ventures and Scenic Management participated as new backers. CRV, Scale Venture Partners, Flex Capital, Pelion Venture Partners, Harmony Partners and Engineering Capital returned for the round. Eisenstecken will also join the company's board.

CodeRabbit plans to direct the new capital toward research, product development and expansion outside the United States. The company recently opened an office in London's Moorgate district and says it has 50 full-time employees across London and the European Union. Further European hiring is planned, along with expansion into Japan and other Asian markets where the company says it is seeing demand.

The funding and product expansion move CodeRabbit further into the decision-making layer surrounding AI-generated software. As more changes can be produced automatically, the company's bet is that independently assessing their quality, security and impact will become an increasingly important part of how engineering teams manage what ultimately reaches production.

This analysis is based on reporting from citybiz.

Image courtesy of TechStartups.

This article was generated with AI assistance and reviewed for accuracy and quality.

Last updated: August 12, 2026

About this article: This article was generated with AI assistance and reviewed by our editorial team to ensure it follows our editorial standards for accuracy and independence. We maintain strict fact-checking protocols and cite all sources.

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