Cutting AI Agent Overhead: A Local Solution for Smarter Code Reading

As AI coding agents like Claude Code and Cursor become essential tools for solo developers, unnecessary token consumption and context window bloat represent growing operational costs. This developer created unerr, a local CLI tool that leverages AST parsing to let agents understand code structure before reading files, dramatically reducing wasted tokens. The innovation shows how deterministic, local-first solutions can address fundamental inefficiencies in AI-agent workflows while keeping costs down.