We examine Claude’s agentic search that traverses live codebases in real time, using grep and LSP, anchored by a harness of per-directory rules and plugins. We contrast this with traditional RAG, explore memory-efficient 'skills' via progressive disclosure, and discuss the human governance needed to keep AI aligned as models evolve. We also pose a provocative question: will future codebases be designed for AI readability as much as human readability?

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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