Introducing Agentic Search for Code and Context
Blog post from Entire
Entire has introduced Agentic Search, an API and CLI feature that lets coding agents search across accessible repositories for both exact code and historical context from commits, sessions, and transcripts. The system combines semantic search for understanding why changes were made with symbol-aware code search for locating definitions, references, and specific lines, while supporting searches across individual or organizational repositories. Its indexing pipelines process repository events, store semantic data with turbopuffer for combined BM25 and nearest-neighbor retrieval, and maintain code indexes in S3 and local caches, reporting median query latency of about 100 milliseconds. In internal benchmarks involving nine engineering-history questions, agents using search answered 81 of 90 runs correctly compared with 70 without it, while using fewer tokens, steps, and less time, though the company notes that its own detailed commit history may bias the results. Users can enable the feature through the Entire CLI, use command-line or browser interfaces, and obtain structured results for agent workflows.
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