Course: AI for Developers
Learn to use AI as a professional development tool: from understanding LLMs to orchestrating multi-agent workflows. With opencode, Claude, and a critical mindset from day one.
1 What Is Generative AI? Beyond ChatGPT
Understand what generative AI is, the difference between assistants and agents, and why developers who use AI are replacing those who don't.
2 How LLMs Work (Without the Math)
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.
3 AI for Programming: The Paradigm Shift
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.
4 AI Limitations and How to Detect Hallucinations
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.
5 The AI Model Landscape in 2026: who's who and where to start
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.
6 Your First Code Conversation with AI
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.
7 The art of the prompt: core principles
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.