Tour of Agents rebuilds AI stack

Strong tutorial, sharp idea: if you want to understand why LangChain, CrewAI, and AutoGen behave the way they do, the fastest path is to rebuild the core loop yourself. This is less about “frameworks are bad” and more about making the abstraction layers debuggable.

• –The ~60-line end state is the real hook; it turns agent systems from magic into a small, inspectable control flow.
• –Running in Pyodide removes setup friction, which makes it much easier to share with teammates or use in workshops.
• –The mock-first design is smart because it keeps the course usable without API keys, while Groq support gives you a live path when you want it.
• –The self-scheduling lesson is especially valuable because it shows how agentic systems become task queues, not just chat sessions.
• –Open source at https://github.com/ahumblenerd/tour-of-agents means teams can fork the lessons or adapt them into internal training.