Semantic Code Search: Finding Code You Can't Name in Large Codebases

Finding Code You Can't Name: Why Semantic Search Changes Everything for Large Codebases

TLDR: Developers spend roughly 15% of their workday searching for code—a productivity tax that grows with codebase size. Semantic search converts queries and code into meaning-based vectors, finding relevant code even when you can't remember the function name. Research shows it returns relevant results twice as fast as keyword search.

Finding Code You Can't Name: Why Semantic Search Changes Everything for Large Codebases

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