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Safi
24bcd6d448
- Add GitHub Actions CI workflow (Python 3.10 and 3.12) - Add CI badge to README - Add ARCHITECTURE.md: pipeline overview, module table, schema, how to add a language extractor, security summary - Move eval reports from tests/ to worked/httpx/ and worked/mixed-corpus/ - Fix README: test count 163→212, language table (13 languages via tree-sitter), extract.py description, worked examples links benchmark: 8.8x token reduction on nanoGPT + minGPT + micrograd - Run AST extraction on 29 Python files across 3 Karpathy repos - 177 nodes, 246 edges, 17 communities (Leiden) - 8.8x avg token reduction vs naive full-corpus context stuffing - Notable: micrograd cleanly splits into engine/nn communities; nanoGPT model vs training loop correctly separated - Honest: stdlib import noise flagged, config isolates documented benchmark: 71.5x token reduction on mixed corpus (code+papers+images) Full run: nanoGPT+minGPT+micrograd + 5 research papers + 4 images 285 nodes, 340 edges, 53 communities Average BFS query: 1,726 tokens vs 123,488 naive (71.5x) Code-only (AST) sub-benchmark: 8.8x on 13k-word corpus