Cursor at Grab: Adoption and impact

Summary

Following a multi-tool AI strategy, Grab integrated the AI coding assistant Cursor into its engineering toolkit in late 2024 to accelerate software development. Technical staff adoption reached 98% monthly active usage with a 50% suggestion acceptance rate, supported by custom monorepo indexing and preconfigured rules aligned with internal coding conventions. Engineers frequently apply the tool to unit test generation, code refactoring, cross-repository navigation, and routine API scaffolding, with over a third of merge requests incorporating Cursor. The rollout also encompasses non-technical personnel and product designers who, after receiving Git training, submit direct production UI fixes. Statistical evaluations using fixed-effects regression indicate a dose-response relationship between Cursor usage intensity and measurable productivity gains.

Takeaways

• Grab achieved a 50% suggestion acceptance rate with Cursor by deploying custom monorepo indexing and preconfigured rules aligned with internal conventions.
• Over a third of Grab's merge requests incorporate Cursor, with engineers applying it most often to unit test generation, cross-repository navigation, and refactoring.
• Trained in Git fundamentals, Grab's product designers use Cursor to implement and merge hundreds of direct production UI fixes without waiting for engineering queues.

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