What problem does it solve? Non-technical builders who create software with AI coding tools often cannot read or understand the code they ship, making it hard to debug issues, steer AI assistants, or discuss architecture with engineers. ## Core Features & Use Cases - Codebase Analysis and Curriculum Design: Reads a local folder or cloned GitHub repository, identifies the main components and data flows, and structures a 4-6 module course arc. - Interactive HTML Course Generation: Produces a self-contained course directory with scroll-based modules, code-to-plain-English translation blocks, animated data flow and group chat visualizations, application-focused quizzes, and glossary tooltips. - Parallel Build Path: For complex codebases, writes module briefs and dispatches subagents to build modules in parallel, then assembles everything with a build script. - Use Case: Point it at an open-source project you found on GitHub and receive a browser-ready course that traces what happens under the hood when you use the app. ## Quick Start Say "turn this codebase into an interactive course" while inside a project, or provide a GitHub link to clone and analyze.