jwick scans source trees and emits a compact code map so AI can reason about file relationships, imports, exports, and function signatures without rereading entire files. It outputs JSON for token-efficient model consumption and markdown for humans. This reduces prompt context cost, accelerates architectural queries, and preserves flow metadata so AI spends far fewer tokens understanding the project. It cuts repeat context costs and lets AI answer faster by summarizing dependencies with flow AI.