Nvidia now produces three times as much code as before AI — specialized version of Cursor is being used by over 30,000 Nvidia engineers internally

Nvidia’s internal code commits have tripled since it mobilized 100% of its engineers with AI-assisted programming tools. Cursor, an IDE made by Anysphere, now enables over 30,000 developers at the company in AI code generation.

“Cursor is used in pretty much all product areas and in all aspects of software development. Teams are using Cursor for writing code, code reviews, generating test cases, and QA. Our full SDLC is accelerated by Cursor. We have built a lot of custom rules in Cursor to fully automate entire workflows. That has unlocked Cursor’s true potential.” — Wei Luio, VP of Engineering at Nvidia.

This doesn’t mean all production-ready code pushed out of Nvidia’s offices is suddenly AI slop. The software development lifecycle (SDLC) is still monitored and supervised by humans, but AI is embedded across every phase to squeeze bottlenecks and ensure maximum efficiency. Cursor’s involvement has allowed the engineers to generate 3x as much code as before.

Beyond that, Cursor has helped in other areas as well, such as debugging where it excels at finding rare, persistent bugs and deploys agents to resolve them swiftly. The teams at Nvidia are also automating their git flow by using custom rules that allow it to pull context from tickets and docs, while letting Cursor handle the bug fixes with proper tests for validation.