CodeRabbit Raises $143 Million in Series C Round and Introduces Agentic Change Management

San Francisco-based AI code review company CodeRabbit has raised $143 million in Series C funding at a $1.5 billion valuation. The round was co-led by Atomico and Smash Capital.

The company will use the new funding to accelerate international expansion, research, and product development. CodeRabbit 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 round included new investors such as BMW i Ventures, Datadog, Hirtle Callaghan, SineWave Ventures, and Scenic Management. Existing investors including CRV, Scale Venture Partners, Flex Capital, Pelion Venture Partners, Harmony Partners, and Engineering Capital also participated.

Luca Eisenstecken, Partner at Atomico, will join CodeRabbit’s Board of Directors.

The latest round comes less than a year after CodeRabbit raised $60 million in Series B funding. The company said its revenue has grown more than five times year over year as more engineering teams adopt AI-generated code.

CodeRabbit now conducts more than 2 million code reviews every week and serves over 17,000 customers, including Adyen, BMW, Indeed, JFrog, NVIDIA, Trivago, and Campfire.

“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. Every change creates a decision for the team,” said Harjot Gill, co-founder and CEO of CodeRabbit. “We pioneered AI code review to give teams an independent system that validates the work before it ships. Agentic Change Management expands that layer to determine what deserves attention, explain each change’s impact, and continue monitoring the codebase after it ships.”

“Security now requires a continuous system that can reason across the repository, verify whether a threat is real, and move the fix back through the development workflow,” said Brad Twohig, Founding Partner at Smash Capital. “CodeRabbit Security brings that capability into the same independent control layer teams use to review, understand, and govern software change.”

CodeRabbit Launches Agentic Change Management

Along with the funding announcement, CodeRabbit introduced Agentic Change Management, a system designed to help companies manage, review, and govern software changes created by both developers and AI agents.

As AI tools increasingly generate code, software changes can happen before teams have fully reviewed their priority, impact, or risks. CodeRabbit said its new system aims to make the pull request a key checkpoint for deciding whether code is safe, valuable, and ready to ship.

The platform uses repository-wide context, company standards, pre-merge checks, team knowledge, and testing data to review code changes. AI agents can also fix identified issues and run another review before human developers make the final decision.

Key features include:

  • CodeRabbit Triage: Prioritizes and routes incoming pull requests based on value, urgency, risk, dependencies, and reviewer requirements.
  • CodeRabbit Change Stack: Helps teams understand the impact of code changes by analyzing architecture, integrations, tests, migrations, and potential blast radius.
  • CodeRabbit Security: Continuously scans production code for vulnerabilities and sends recommended fixes back through the pull request process.

Focus on AI-Powered Code Security

CodeRabbit is also expanding its security capabilities as AI makes it easier to create and modify software at scale.

Its security platform continuously searches production code for vulnerabilities and analyzes the broader codebase rather than relying only on individual files or fixed rules.

The company said the system can identify complex security issues such as authorization bypasses, insecure direct object references, business-logic vulnerabilities, and emerging risks linked to AI-generated software.

CodeRabbit said its AI reviews each finding against code evidence to help reduce unnecessary alerts and prioritize issues that require attention.

Headquartered in San Francisco, CodeRabbit says more than 150,000 open-source projects and 17,000 customers worldwide use its platform to improve code quality, security, and reliability.

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