# How Nvidia uses Cursor

**three times** More code committed by developers using Cursor

As published on [cursor.com](https://cursor.com/blog/nvidia). Captured by usedby on 2026-10-18.

- Company: [Nvidia](https://www.usedby.ai/companies/nvidia.md)
- Tool: [Cursor](https://www.usedby.ai/tools/cursor.md)
- Industry: [Semiconductors & Hardware](https://www.usedby.ai/companies/industry/semiconductors-hardware.md)
- Teams: engineering

## What the story says

Automates code generation, reviews, tests, debugging and custom engineering workflows across the SDLC.

Summary written by usedby from the source page, in English. The figures are those of Cursor and Nvidia, not ours.

> Coding velocity: Developers using Cursor commit three times more code than before

> We have built a lot of custom rules in Cursor to fully automate entire workflows.
>
> Fabian Theuring, Senior Software Architect

Source: [cursor.com](https://cursor.com/blog/nvidia), captured 2026-10-18.

> My favorite enterprise AI service is Cursor. Every one of our engineers, some 40,000, are now assisted by AI and our productivity has gone up incredibly.
>
> Jensen Huang, President & CEO

Source: [cursor.com](https://cursor.com/), captured 2026-10-02.

## What usedby checked

We compared the story with its live page on 2026-10-18.

- Checked: the figure three times is on the page; its label is our wording.
- Checked: the passage quoted above is copied word for word from the page, near the name of Nvidia.
- Checked: Nvidia uses Cursor. Observed line. Latest check across sources: 2026-10-18.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/nvidia-cursor-b5838e · How we check: https://www.usedby.ai/methodology