Cursor at Grab: Adoption and impact

Summary

Grab introduced Cursor in late 2024 as one of several AI coding assistants and reports rapid adoption across engineering and non-technical teams. Monthly active usage reached 98% of Tech Grabbers, weekly usage about 75%, and Cursor suggestions were accepted around 50% of the time, compared with a cited industry average of 30%. About half of users engage on at least 10 consecutive days monthly, while more than a third of merge requests incorporate Cursor; common uses include test generation, refactoring, code navigation, bug fixing, and routine automation. Grab built monorepo indexing and distributed preconfigured rules for environment-specific suggestions, while a fixed-effects regression effort is examining productivity; early findings report a statistically robust dose-response relationship, with gains increasing alongside usage intensity.

Takeaways

1. 1

   98% of Tech Grabbers became monthly active Cursor users and about 75% used it weekly after its late-2024 introduction.

2. 2

   Custom monorepo indexing and Grab-specific rules were used to align Cursor’s suggestions with the company’s codebase and coding conventions.

3. 3

   Early fixed-effects regression findings show productivity gains increasing with usage intensity, although the measurement methodology and detailed findings are deferred to a subsequent post.