Show HN: SigMap – shrink AI coding context 97% with auto-scaling token budget

Category: devtools

Tags: ai-coding, context-optimization, developer-tools

Score: 7.5/10 (Innovation: 7, Technical: 6, Documentation: 9, Utility: 8)

SigMap is a tool that dramatically reduces AI coding context size by extracting only function and class signatures from source code, shrinking token usage by ~97%. It's interesting because it directly addresses the cost and accuracy problems of large-context AI coding assistants by providing structured, minimal context that improves answer quality and reduces hallucinations.

Target audience: backend devs, frontend devs, full-stack devs

Repository: https://github.com/manojmallick/sigmap · JavaScript · MIT · 9 stars

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