Backend Developers
~65 pages
The Developer's Guide to Semantic Code Search
Embeddings, Chunking, and Retrieval - A practical guide to building semantic code search that works at the L1 level
Free Guide
EPUB + Markdown
By Kelly Price
About This Guide
This guide covers the infrastructure, tradeoffs, and implementation patterns for building semantic code search that actually works at the L1 level — queries where the vocabulary doesn't match the code. Includes embedding model selection, chunking strategies (fixed vs. AST-aware), vector store deployment, query processing, and production hardening with complete Python examples.
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