CodeRabbit Raises $60M Series B Following Unprecedented Growth as Vibe Coding Triggers a Need for New Code Quality Standards
As CodeRabbit scales with investment from Scale Venture Partners and others, its latest release introduces powerful new features that help developers improve the quality of AI-generated code
SAN FRANCISCO–(BUSINESS WIRE)–CodeRabbit, the pioneer of AI code reviews, today announced $60 million in Series B funding led by Scale Venture Partners, with participation from NVentures: NVIDIA Venture Capital, and existing investors CRV, Harmony Partners, Flex Capital, Engineering Capital and Pelion Venture Partners. The funding means that CodeRabbit, known for delivering the most advanced context-aware AI code reviews, has raised a total of $88 million. The funding will be used to accelerate global hiring, product development, and platform expansion. Andy Vitus, Partner at Scale Venture Partners, will join the company’s board.
CodeRabbit, the pioneer of AI code reviews, today announced $60 million in Series B funding.Share
The investment comes at a pivotal moment in AI-assisted software development. The rise of vibe coding has allowed engineers to generate large volumes of code. But that has translated to code being written faster than it can be reviewed, tested, and shipped safely and worsened the downstream bottlenecks. Code reviews aren’t just slowing teams down, they’re causing many to miss out on the velocity gains that AI coding tools promised. CodeRabbit’s latest release tackles this head-on, adding AI reviews in the CLI to their existing reviews across IDEs, and multiple Git platforms, establishing a trust layer teams need to review and ship faster without sacrificing quality.
“CodeRabbit has emerged as the clear leader in AI code reviews, acting as the governance layer AI development desperately needs,” said Andy Vitus, Partner at Scale Venture Partners. “They’ve built a code review system that works well even for large codebases while delivering the accuracy and rigor of a senior engineer.”
CodeRabbit’s recent extraordinary growth testifies to the fact that AI code review tools are seeing a second order boom from the broad adoption of AI coding tools. AI code reviews have become essential for developers with many teams rushing to adopt CodeRabbit as a trust layer as their AI use accelerates. The numbers show this momentum:
- 10x revenue growth in the last year.
- Over 2x company head count growth in under a quarter with plans to double again by early 2026.
- 8,000+ paying customers—including Chegg, Groupon, Life360, and Mercury.
- 100,000+ open-source projects.
- #1 AI app on GitHub Marketplace
And that’s only scratching the surface. The CodeRabbit team is building more features and even deeper context layers that will further cement its AI code reviews as a critical trust layer for development teams.
“AI-generated code is here to stay, but speed without a centralized knowledge base and an independent governance layer is a recipe for disaster,” said Harjot Gill, co-founder and CEO of CodeRabbit. “Code review is the most critical quality gate in the agentic software lifecycle, and you have to build AI agents that are context-aware so they can catch the bugs that are hardest to find. That’s exactly what we’ve built, and we are excited to partner with Scale Ventures given their pedigree in the AI dev tools space.”
New Product Enhancements Set a Higher Standard for AI-Assisted Development
By unifying AI-powered reviews across CLI, IDEs, and Git-based workflows, CodeRabbit has eliminated the code review bottleneck that slows down even the fastest AI-first teams. Engineers can now generate, test, and merge code in a fully integrated loop without breaking flow state.
With this release, CodeRabbit is rolling out a powerful set of product enhancements that make context-aware AI code reviews more accessible and more impactful than ever:
- Command Line Interface Access – The only AI code review solution that runs seamlessly across CLI, IDE, and multiple Git platforms.
- Pre-merge checks – Automatic unit test generation and custom pre-merge checks, help teams implement guardrails before merging PRs and improve test coverage.
- MCP client for deeper context – Post-launch, CodeRabbit will make their MCP client generally available to fetch even more precise, context from additional sources beyond the code (example: feature requirements, engineering docs etc.).
“CodeRabbit, one of the first to adopt GPT-5, is harnessing the model’s industry-leading reasoning capabilities to deliver state-of-the-art AI code reviews validated by their own benchmarks. As software teams generate more code than ever, code review solutions like CodeRabbit’s are critical to keep up the pace of shipping code,” said Shyamal Anadkat, Head of Applied Evals at OpenAI.
Inside CodeRabbit’s Context-Driven Engine
At the heart of CodeRabbit is its unique context engineering approach, which dynamically gathers intelligence from dozens of sources critical for code reviews—custom review instructions, code graphs, historical pull requests, Jira and Linear tickets, coding agent guidelines, and architectural documents—to provide AI with the information it needs to make accurate review comments. This industry-leading approach allows CodeRabbit to catch hard to find bugs and edge cases, identifying security flaws or code refactors, recommending architectural improvements, and enforcing best practices.
Unlike tools that operate in isolation, CodeRabbit is deeply integrated across the development lifecycle. It works end-to-end inside the CLI, in popular code editors like VS Code, Cursor, and Windsurf, and in Git platforms like GitHub, GitLab, Azure DevOps and Bitbucket. CodeRabbit also easily integrates with AI coding agents like Cursor, Claude Code, and GitHub Copilot, enabling a fully AI-powered loop from generation to review to implementation without breaking the developer’s flow state.
That speed advantage is already making a measurable impact for customers. “Groupon looked toward AI coding tools to speed up its feature delivery cycles in every aspect of the software lifecycle. After adopting CodeRabbit, our average code review-to-production time came down from a whopping 86 hours to just 39 minutes, greatly speeding up our release cycles,” said Tomas Zaruba, Technical Manager in the CEO’s office at Groupon.
Supporting Resources
About CodeRabbit
CodeRabbit is the category-defining platform for AI code reviews, built for modern engineering teams navigating the rise of AI-generated development. By delivering context-aware reviews that pull in dozens of points of context, CodeRabbit provides the most comprehensive reviews coupled with customization features to tailor your review to your codebase and reduce the noise. CodeRabbit helps organizations catch bugs, strengthen security, and ship reliable code at speed. Trusted by thousands of companies and open-source projects worldwide, CodeRabbit is backed by Scale Venture Partners, NVentures: NVIDIA Venture Capital, CRV, Harmony Partners, Flex Capital, Engineering Capital and Pelion Venture Partners. Learn more at www.coderabbit.ai.
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