Introducing the AI for Developers Course

26-III-26

You probably already use AI for something. An email, a search, a quick explanation. But there’s a vast difference between using AI and working with it as a developer. Between asking it to explain an error and having an agent that reads your codebase, proposes the fix, writes the tests, runs them, and reports back.

Most developers are in the first group. This course takes you to the second.

Welcome to AI for Developers: a complete, free course that will take you from understanding what LLMs are to orchestrating multi-agent AI workflows for software development. With opencode, Claude, and a critical mindset from day one.

Why AI is the most important skill of 2026

Not hype. A technical observation.

In 2023, AI was a marginal productivity tool: glorified autocomplete. By 2025, AI agents could write complete features, debug, do code reviews, and propose refactors. In 2026, teams not using AI agents have measurable disadvantages in delivery speed.

The quote that’s everywhere right now (and despite being overused, is technically accurate):

AI won’t replace developers. It will replace developers who don’t use AI.

What that means in practice: AI is a multiplier. It doesn’t think for you, but it executes what you think much faster. Boilerplate code, tests, documentation, repetitive refactors — all of that can be delegated. What can’t be delegated is judgment: understanding the problem, designing the architecture, verifying the solution is correct. That’s still yours.

The new critical skill isn’t writing code faster by hand. It’s directing AI with precision.

What makes this course different?

Most AI-for-developers resources fail for the same reasons: they assume you’re already an experienced developer, show magic demos without teaching critical evaluation, treat AI output as always correct, focus on specific tools (which change every six months), and don’t address the mental model shift that working with agents requires.

This course is different:

Zero technical prerequisites: We start from absolute basics. If you know ChatGPT exists but little else, you’re in the right place.
Critical thinking first: You’ll learn to detect hallucinations, verify code before using it, and when not to use AI.
Principles over tools: AI tools change every six months. Principles don’t. You’ll learn to adapt, not to memorize menus.
opencode as the main tool: Not a chat interface. A real agent that operates in your codebase, runs commands, and makes decisions. That’s how advanced developers actually work.
Why before How: Understanding how LLMs work (without the math) makes you use them better. It’s not theory for theory’s sake — it’s context that changes how you work.

What will I learn?

The course has 72 lessons across 12 modules, designed to take you from zero to professional progressively:

Module 1: What is generative AI, how LLMs work, the 2026 ecosystem map
Module 2: Effective prompting for developers — how to ask for what you want and get it
Module 3: AI development tools — installing and configuring opencode
Module 4: AI-assisted development — the complete cycle of a feature with an agent
Module 5: Debugging with AI — from error to fix with context
Module 6: Code review and quality with AI — refactoring, static analysis, continuous improvement
Module 7: Software architecture with AI — design decisions, trade-offs, ADRs
Module 8: Advanced workflows with opencode — the agent in your real workflow
Module 9: Tools — how opencode interacts with your world (shell, APIs, files)
Module 10: Skills — how to teach your agent specialized knowledge
Module 11: MCP — extending AI capabilities with integrations
Module 12: Multi-agent orchestration — AI at scale

Do I need prior knowledge?

The course starts from absolute zero. You don’t need AI experience or advanced programming knowledge.

What does help:

Genuine curiosity about how things work
Willingness to question AI output (this matters more than technical experience)
A computer where you can install software (Linux, macOS, or Windows with WSL)

If you already have some programming experience, you’ll get more out of the course. If you’re just starting out, Modules 1 and 2 give you the conceptual foundation you need before touching any tools.

An honest warning

AI isn’t magic. It’s not going to write complex software for you without supervision. It’s not going to replace understanding what you’re doing. And if you use it without judgment, you’ll introduce subtle bugs, security vulnerabilities, and code you don’t understand.

This course doesn’t teach you to trust AI. It teaches you to collaborate with it: knowing when to use it, how to direct it, how to verify its output, and when to ignore it.

That distinction is what separates someone who uses AI from someone who works with AI.

First lesson available March 27th: “What Is Generative AI? Beyond ChatGPT”

Never stop coding! Stay tuned for upcoming lessons!

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