Cursor Slashes Code Indexing Time from Hours to Seconds by Sharing Indexes Between Teammates

Cursor revolutionizes code development by reducing codebase indexing time from over 4 hours to just 21 seconds through a breakthrough system that shares indexes between teammates, leveraging 92% similarity in codebases and cryptographic security to deliver instant search results.

• Cursor speeds up codebase indexing by reusing existing indexes from teammates since clones of the same codebase average 92% similarity across users within an organization
• The system uses Merkle trees with cryptographic hashes to detect file changes and content proofs to ensure users only see results for code they already have access to
• Index reusing reduces time-to-first-query from hours to seconds for large repositories, with the 99th percentile dropping from 4.03 hours to 21 seconds