All articles — Page 3
Introducing the CodeRabbit plugin for Cursor
Install the CodeRabbit plugin for Cursor and run focused code reviews from the same Agent session where you build.
The pull request outlived its obituaries and got a bigger job
More changes are flowing through pull requests than ever thanks to AI-generated code, but a human still needs to decide what ships.
Introducing CodeRabbit Security
CodeRabbit Security traces suspected vulnerabilities across the codebase, evaluates reachability and the conditions required for exploitation against code evidence, and proposes reviewable fixes in the pull request workflow.
Code is abundant. Judgment is scarce. We raised $143 million to help it scale.
CodeRabbit raised a $143 million Series C at a $1.5 billion valuation and is introducing Agentic Change Management, the control layer for software changes created by humans and agents.
Teaching NVIDIA Nemotron 3.5 Lightning to route code reviews
CodeRabbit worked with NVIDIA and Baseten to post-train NVIDIA Nemotron 3.5 Lightning for one of CodeRabbit's highest-volume routing tasks, improving route agreement while reducing estimated inference cost.
The three hidden attention taxes derailing the agentic SDLC
Reviewing every agent-generated change is becoming impossible. The next bottleneck is deciding what deserves attention, rebuilding context, and keeping code safe after merge.
Better models don't solve a judgment bottleneck
Code is now plentiful, but judgment about what deserves to merge is not. Better models sharpen what agents write, but they don't make that call.
Claude Opus 5 review: Coverage, comment quality, and cost
Explore CodeRabbit’s Claude Opus 5 benchmarks for code review: actionable comments, coverage, nitpicks, token use, and where the model fits.
Code is no longer the bottleneck. Understanding is.
Coding agents can expand change volume faster than teams can understand it. Review needs a shared path from intent to system behavior to code so people can keep shaping the system.