Using wavelets and entropy coding to analyze code structure (yogthos.net) AI

The post introduces WaveScope, an MCP server that uses multi-scale wavelet transforms (plus simple keyword weighting) to score and locate structural “boundaries” in source code for LLM agents, enabling zoomed-in fine context and zoomed-out summaries without full-file context. It explains how sliding Ricker wavelets across a 1D signal of line scores yields peak positions across scales, assembles these into fine/medium/coarse zoom bands for the model, and can further quantify structural irregularity via entropy/complexity tools to help triage or refactor code. The author argues this sits between grep-based search and full AST parsing by being language-agnostic while still capturing hierarchical structure.