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← AI-Augmented Engineering

Indexes a Python codebase at function granularity using AST chunking and FAISS, skips unchanged files via file hashing on re-index, and compares two embedding models side by side on the same query. grep finds text; this finds intent — and the re-index/hashing logic is the same pattern real production search tools use to stay fast on large repos.

Demonstrates embeddings + vector search applied to a problem every engineer already has — a concrete talking point for Developer Productivity or Platform Engineer roles.