Course: AI for Developers

Understand what generative AI is, the difference between assistants and agents, and why developers who use AI are replacing those who don't.

Understand how Large Language Models work under the hood — no equations, just the mental models that explain why they hallucinate so confidently and how to use that to your advantage.

From writing code to directing AI: understand the new mental model, which tasks are worth delegating and which aren't, and why clarity of thought is now your most valuable skill.

AI lies with total conviction. Learn to detect hallucinations, understand context blindness, and apply the verification checklist that separates code that works from code that looks like it works.

Claude, GPT, Gemini, Copilot, Cursor, OpenCode — too many names to choose from. Here's the map: what each one does, how API and subscription differ, and where to actually start.

The first time you use AI for real coding: how to structure the conversation, what to expect from responses, and the evaluation loop that separates code that works from code that just looks like it works.

Same model, same day, thirty seconds apart — two completely different answers depending on how you frame the question. Here's the RCTF framework and why it changes everything.

Turn RCTF into real development prompts: rich context, iterative rounds, and response formats you can plug directly into your daily workflow.

Learn how to use AI as a technical tutor: basic questions, the Feynman technique, ‘but why?’ chains, and exercises that prove real understanding.

Learn to specify before you ask: scaffold approach, TDD with AI, and how to review generated code before trusting it.