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.
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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.
“Before Cursor, Nvidia had other AI coding tools, both internally built and other external vendors. But after adopting Cursor is when we really started seeing significant increases in development velocity,” said Luio. According to him, Cursor really shines at understanding the complexity of long-running, sprawling databases that could otherwise trump a regular human.
Speaking of which, trainees and new employees can get up to speed quickly with Cursor since it can operate as a guiding hand with extensive knowledge. On the contrary, more experienced devs can now tackle other challenges that do require human ingenuity, closing the gap between ideas and implementation. It’s like generative AI being used for what it should’ve always been meant for: mundane tasks.
Cursor closed out its presser by claiming that the “bug rates have stayed flat” despite the improvements in coding volume and overall productivity. This is important because critical components like GPU drivers that are used by both gamers are professionals rely on vital code, which is now being partially generated by AI. It’s also nothing new for Nvidia since DLSS has been running on a supercomputer for years.
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