What problem does it solve? Non-technical builders who create software with AI coding tools often cannot read or understand the code they produce, making it hard to debug issues, steer AI assistants, or discuss architecture with engineers. ## Core Features & Use Cases - Codebase-to-Course Generation: Analyzes a local folder, GitHub repository, or the current project and produces a self-contained HTML course with scroll-based modules, progress tracking, and keyboard navigation. - Interactive Teaching Elements: Embeds code-to-plain-English translation blocks, animated data flow and group chat visualizations, application-focused quizzes, and glossary tooltips for every technical term. - Parallel Build Pipeline: For complex codebases, writes per-module briefs and dispatches subagents to build modules in parallel, then assembles everything into a single index.html via a build script. - Use Case: Point it at an open-source project you cloned from GitHub and receive an offline browser-based course that traces what happens under the hood when you use the app. ## Quick Start Open a project and say: turn this codebase into an interactive course that teaches me how it works.
