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Raising our $60M Series B: Building the quality gates for AI-powered coding

by
Harjot Gill
Gur Singh

Harjot Gill

Gur Singh

September 16, 2025

|

5 min read

September 16, 2025

5 min read

  • AI code reviews became essential in 2025
  • Why so many teams are adopting AI code reviews
  • How CodeRabbit works
  • How we’re celebrating: By announcing CodeRabbit CLI
  • What this funding means for us (and for you)
  • Thank you for all your support
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When we started CodeRabbit, the idea was pretty simple: since all developers hate code reviews, why not make them faster and easier? After all, no one enjoys leaving the same comment about variable naming practices or style conventions for the tenth time in a week.

That’s where we believed AI could help – it could automate best-practice checks and policy enforcement so that devs didn’t have to do it themselves. But more importantly, it could act as a safety net, catching issues and bugs before they made it into production.

With that belief, we set out to create something new: AI code reviews. Over time, AI coding tools started to gain broader adoption. Tools like Copilot, Claude Code, and Cursor began spitting out more code than teams could easily review with many developers increasing the number of PRs they shipped by 2x to 3x. This added to the existing code review backlogs many teams had. We quickly realized that the ‘efficiency’ gains being marketed to engineering teams would swiftly turn into code review bottlenecks.

And that’s also when we first realized how critical AI code reviews would be to development teams. They would function as a trust and governance layer in agentic software development ensuring quality and security while saving devs time. And, as an added bonus, greatly reducing passive aggressive review comments in the workplace!

AI code reviews became essential in 2025

https://youtu.be/UHCTKZYOOYU

Over the last two years, we’ve built the most comprehensive and context-rich platform for code reviews, been installed on 2 million repos, reviewed 13 million pull requests, become the most installed AI App on both GitHub and GitLab, and improved the morale of countless dev teams.

In 2025, we watched AI code reviews become essential for all teams dealing with the challenges that come with the broad adoption of AI coding agents. But that shift fueled a year of unprecedented growth, culminating in the $60 million Series B round that we announced today.

This investment was led by Scale Venture Partners with participation by NVentures (NVIDIA’s venture capital arm) and support from our long-time investors CRV, Harmony Partners, Flex Capital, Engineering Capital, and Pelion Venture Partners. With this new funding, our total capital raised is now $88 million.

Why so many teams are adopting AI code reviews

When every developer on your team is generating code faster, your review queue grows exponentially. Senior engineers who used to review 5 to 10 PRs a day are now facing 20 to 30. The math doesn't work. Teams are caught between two bad options: either slow down deployment cycles waiting for thorough reviews, or rush reviews and let quality slip.

This is why AI code review adoption is accelerating. AI reviewers augment the human reviewers, freeing them to focus on architecture decisions, business logic, and the nuanced feedback that requires context AI can't fully grasp yet.

The past year has been a whirlwind. We’ve 10x revenue and doubled our team thanks to:

Behind each of those customers are real teams who tell us the same thing: reviews are faster with CodeRabbit, bugs are caught earlier, and release cycles are finally speeding up again.

Groupon told us they went from 86 hours from review-to-production down to just 39 minutes. Another shared that they cut down the time they spend on code reviews by 70%.

How CodeRabbit works

CodeRabbit works because it fights AI fire with AI fire. Our platform brings in dozens of points of context to deliver the most context aware reviews to:

  • Catch correctness and security issues before they hit production.

  • Enforce organizational best practices and custom policies.

  • Support the full merge cycle with unit testing and docstrings generation.

How we’re celebrating: By announcing CodeRabbit CLI

https://youtu.be/IqBKf4u5MtA

Today, we're celebrating our Series B by announcing CodeRabbit CLI, AI code reviews that live in your terminal and orchestrate seamlessly with Claude Code, Codex CLI, Cursor CLI, Gemini, and other AI coding agents.

As developers increasingly write code through CLI Coding agents, we've identified a critical gap: code is being generated at unprecedented speeds, but quality validation happens too late, often only at the PR stage.

CodeRabbit CLI changes this by bringing intelligent review directly into the CLI workflow, creating a real-time feedback loop between code generation and validation.

Now, whether you're prompting Claude Code to refactor a module or using Cursor CLI to implement a feature, CodeRabbit instantly reviews the output, catches hallucinations, flags security issues, and even hands contextualized fixes back to your AI agent.

CodeRabbit CLI is the missing orchestration layer that makes AI-generated code production-ready, turning the promise of autonomous development into reality.

What this funding means for us (and for you)

Our Series B round will help us keep pace with the scale of the problem we set out to solve. Here’s where we’re putting that investment:

  • Accelerating product development: Our roadmap is packed. From deeper context integrations to smarter pre-merge checks and automated testing, we’re focused on making reviews faster, more accurate, and more useful for every team.

  • Supporting open source: Today, more than 100,000 OSS projects already use CodeRabbit. With this funding, we’re doubling down on contributions and support to strengthen the community that made modern development possible. More on that later in the week!

  • Hiring the best talent: We’ve already doubled headcount this year and we’re hiring globally across engineering, product, sales, marketing, and customer success.

This funding gives us the space to keep building what we believe is the most important missing piece of AI-powered development: scalable, context-aware reviews.

Thank you for all your support

When we started this company, we knew we were chasing a problem every engineer experiences: reviews are a pain and they don’t scale easily. The fact that CodeRabbit is now helping thousands of teams tackle that problem is both humbling and energizing.

To our customers, community, and investors: thank you for believing in us and building alongside us. And if this work excites you, consider joining us. Come help us build the future of code reviews.

Try CodeRabbit for free yourself and learn more about our open roles.