I'm a hardware engineer who reads schematics, not source code. I kept needing to understand codebases for projects I was managing but couldn't read the syntax. So I built a tool that turns any codebase into an interactive visual map with plain English explanations.

Point it at a folder, get nested colored blocks showing the structure (directories → files → classes → functions). Click to drill down. AI generates summaries written for humans, not programmers. Architecture mode shows a dependency graph so you can see how modules connect.

Built the whole thing in ~30 hours using a multi-node AI workflow: Claude for planning/decisions, Claude Code for implementation, five other models for adversarial security review (42 fixes across 6 rounds). I made every design decision; AI wrote every line of code.

Cloud AI (OpenAI/Groq) or local AI (Ollama) — your choice. pip install codedocent and run the setup wizard.

MIT licensed. Would love feedback from people who actually write code — does this help when onboarding onto unfamiliar codebases?