New Developer Path
Starting from scratch is fine. This path builds up from first principles — what an LLM actually is, how it can interact with the real world, and how to write your first tool-enabled agent.
What you'll come away with
- ✓ A clear mental model of what a Large Language Model is (and isn't)
- ✓ How tools let an LLM take actions in the real world
- ✓ How to write a tool definition that works correctly
- ✓ How to run a simple agent loop locally
Your curriculum
Architecture Overview — For New Developers
The big picture of how AI agents work — three simple building blocks that turn a text predictor into something that can actually do things.
What is an LLM — For New Developers
A plain-language introduction to Large Language Models — what they are, how they work at a high level, and why they matter for the code you'll write.
Tools — For New Developers
How AI models interact with the real world — the request/execute/return loop explained from scratch with simple examples.
MCP — For New Developers
How AI agents connect to the outside world — MCP explained from scratch with plain-language examples and diagrams.
Skills — For New Developers
What skill files are, why they exist, and how to create your own — giving AI agents expert knowledge exactly when they need it.