CodeRabbit, a leading innovator in AI-powered code reviews, has recently announced an impressive $60 million in Series B funding. This round was spearheaded by Scale Venture Partners and included contributions from NVentures, which is associated with NVIDIA Venture Capital, as well as existing investors like CRV, Harmony Partners, Flex Capital, Engineering Capital, and Pelion Venture Partners. With this latest infusion of capital, CodeRabbit has raised a total of $88 million, which it plans to use to expand its workforce globally, enhance its product offerings, and broaden its platform.
The timing of this investment is particularly significant. As the field of AI-assisted software development evolves, a trend known as “vibe coding” has emerged. This approach allows software engineers to generate large amounts of code at a rapid pace. However, the speed of this development has created a challenge: the code is being produced faster than it can be reviewed, tested, and safely deployed. This has led to bottlenecks that hinder productivity and prevent teams from capitalizing on the efficiency gains that AI coding tools have the potential to offer.
CodeRabbit is addressing this issue directly with its latest release, which combines AI reviews in both the command line interface and popular integrated development environments, as well as various Git platforms. This integration is crucial as it establishes a necessary trust layer for development teams, enabling them to review and deploy code more quickly without sacrificing quality.
The remarkable growth of CodeRabbit showcases the increasing demand for AI code review tools. In recent times, these tools have become indispensable for developers as many teams rush to integrate CodeRabbit into their workflows, recognizing it as a reliable trust layer in their use of AI.
For example, CodeRabbit has experienced a tenfold increase in revenue over the past year and has seen its employee count more than double in just a few months. Additionally, the company boasts over 8,000 paying customers, including notable brands like Chegg, Groupon, Life360, and Mercury. The adoption of CodeRabbit spans more than 100,000 open-source projects, and it has become the top-ranked AI application on the GitHub Marketplace.
What’s exciting is that this is just the beginning for CodeRabbit. The team is actively working on developing new features and deeper context layers that will further solidify its AI code reviews as a vital resource for development teams. By unifying AI-driven reviews across command line interfaces, integrated development environments, and Git-based workflows, CodeRabbit has successfully eliminated the code review bottleneck that can slow down even the most agile AI-first teams. Engineers now have the ability to generate, test, and merge their code in a fully integrated process, all without disrupting their workflow.
In connection with this release, CodeRabbit is also introducing a set of innovative product enhancements designed to improve the accessibility and effectiveness of context-aware AI code reviews. For instance, it provides a command-line interface access, allowing users to utilize the only AI code review solution that integrates seamlessly across command-line interfaces, integrated development environments, and multiple Git platforms. The introduction of automatic unit test generation and customized pre-merge checks helps teams implement essential guardrails before merging their pull requests, further enhancing overall test coverage and quality assurance.
At the heart of CodeRabbit lies its unique context engineering approach. This method dynamically gathers critical information from various sources essential for thorough code reviews, including custom review instructions, code graphs, historical pull requests, and ticketing systems such as Jira and Linear. This comprehensive intelligence allows the AI to deliver accurate review comments that can catch elusive bugs and edge cases, highlight security vulnerabilities, recommend necessary code improvements, and enforce compliance with best practices.
Many customers have already begun to see the real-world benefits of utilizing CodeRabbit. For instance, the efficiency gains are significant, with companies reporting drastic reductions in the time required for code review and production processes. CodeRabbit sets itself apart by deeply integrating with the entire development lifecycle. It operates fluidly within the command line interface, widely used code editors, and various Git platforms, allowing developers to maintain their focus without interruption. Furthermore, CodeRabbit’s compatibility with AI coding agents facilitates a seamless, AI-driven loop from code generation to review and ultimately to implementation, ensuring an efficient and effective development process.
New board member: Andy Vitus, a partner at Scale Venture Partners, will join CodeRabbit’s board of directors, contributing valuable insights and guidance to the company’s strategic direction.
KEY QUOTES:
“CodeRabbit has emerged as the clear leader in AI code reviews, acting as the governance layer AI development desperately needs. They’ve built a code review system that works well even for large codebases while delivering the accuracy and rigor of a senior engineer.”
Andy Vitus, Partner at Scale Venture Partners
“AI-generated code is here to stay, but speed without a centralized knowledge base and an independent governance layer is a recipe for disaster. 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.”
Harjot Gill, co-founder and CEO of CodeRabbit
“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.”
Shyamal Anadkat, Head of Applied Evals at OpenAI
