SigMap claims 97% token reduction for AI‑assisted coding sessions

SigMap is presented on its website as a token‑optimization tool for developers. The service asserts it can reduce the number of tokens sent to language models by 97 percent. Lower token counts aim to lower costs and speed up AI‑driven coding sessions. The tool integrates with popular code editors to intercept prompts before they reach the model. Documentation describes a workflow where SigMap rewrites queries to be more concise. Users are encouraged to test the reduction on their own AI coding projects. The site provides performance benchmarks illustrating the claimed savings. Adoption of SigMap could reshape how developers manage token budgets in AI tools.