Cursor Builds Trigram Indexes For Regex Search

Cursor is building trigram-based inverted indexes to speed regular-expression searches for Agents across large monorepos, citing ripgrep's 15+ second scans in enterprise repos. The approach adapts decades-old trigram decomposition and regex tokenization to prune candidate files before full matching, improving interactive agent responsiveness and reducing latency when guiding code generation.
Scoring Rationale
Practical engineering application with measurable impact on agent workflows; limited novelty because trigram indexing is a known technique.
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