SigMap significantly reduces prompts needed for coding tasks by 48.4% (from 2.84 to 1.47 prompts) across 90 real tasks.
It provides deterministic, verifiable grounding for AI code work with 86.7% hit@5 retrieval accuracy and 97.0% token reduction, working fully offline without dependencies.
The tool features a six-step workflow: generate context, ask for relevant files, copy context to AI assistant, save response, validate coverage, and judge groundedness.
Benchmarks show SigMap improves task success from 10% to 66.7%, eliminates GPT-4o overflow in all tested repositories (0/21 vs 16/21), and boosts retrieval accuracy to 87% with graph boosting.