πŸš€ Introducing SigMap β€” the verification layer for AI coding agents.

βœ… 78.9% hit@5 benchmark accuracy (21 repos tested)
⚑ 97.9% token reduction vs. full codebase ingestion
πŸ”Œ VS Code Β· JetBrains Β· Neovim plugins + MCP server (9 tools)
πŸ“¦ ~20K npm downloads | 512 ⭐ GitHub

No vectors. No embeddings. Deterministic. Local. Fast.

πŸ‘‰ sigmap.io
#SigMap #AIAgents #OpenSource #DevTools #buildinpublic

🧡 Why "No vectors. No embeddings"?

Most context tools use vector search β€” meaning they
embed your entire codebase into a DB and do similarity
lookups at runtime.

Problems:
❌ Slow to index (minutes–hours for large repos)
❌ Embeddings go stale as code changes
❌ Still wrong 20–30% of the time

SigMap uses deterministic file signatures instead.

Result: <50ms lookup. Always fresh. 78.9% accurate.

Try it: sigmap.io
#SigMap #LLM #DevTools #OpenSource