Matt Pocock (AIHero) – AI Coding Crash Course

Here’s What You Get:

• AI Coding Crash Course
• Lifetime Access to Lessons
• Customizable Invoice
• English Transcripts & Subtitles
• Progress Tracking
• Access to Discord Community
• Completion Certificate

We’ve all seen how AI coding can go wrong: easier than ever to get started, but downhill from there.

Starting a new project feels like magic; but as you refine your ideas, fix bugs, or add features, your agent’s bad code choices compound quickly and each change comes slower and worse.

Outsourcing small tasks feels powerful and even fun; but bigger, more complex, and longer running tasks spiral beyond your control.

Worst of all, the agent never gets tired but you’re more exhausted than ever. A robot can pile up lines of code far faster than you can review, meaning you must spend more time accepting, supervising, instructing, and repeating yourself, with less time for satisfying, creative work.

Through it all, you can practically feel the control slipping away, one prompt at a time.

Maybe it’s happened to you. Or maybe you haven’t tried it yet because you’re concerned it will happen to you.

Either way, this isn’t the job you signed up for. There has to be a better way.

The good news is: there is a better way.

My brand new AI Coding Crash Course will put the control back in your hands — through learning, analyzing, and most importantly, building with a better understanding of how these tools work.

Matt Pocock is a true educator and I admire how he brings structure to this mess we are in.

Mario Zechner (@badlogicgames), creator of the Pi coding harness

The best way to get great results from your coding agent is to learn how it works, top to bottom:

1. How does a large language model work?
2. How does the harness work — whether it’s Claude Code, Codex, or any other flavor?
3. How do you combine that knowledge to build an effective, repeatable software engineering loop?

Take control of your coding agent like a Real Engineer

My approach to AI coding combines classic Real Engineering principles with a step-by-step process to deeply understand every aspect of the tools, techniques, and workflows. Together, you’ll use that understanding and practice to maintain a high bar for quality and consistency.

Here are just some of the things you’ll learn:

• Smart zone / dumb zone — what the context window is, why it matters, and how to recognise when an agent is still reasoning sharply and when its context has degraded — and how to keep your work in the smart zone.
• Managing context — what’s actually eating up the agent’s context, why it fills up, how to keep it slim, and how to read its exact status instead of guessing.
• Compaction vs. handoff — three ways to continue past a full context, when to use each, and why mid-task compaction goes wrong.
• Grilling — how to recruit your agent to help you interrogate a fuzzy idea until the project requirements are sharp and clear, before writing a single line of code.
• Codebase exploration — how to help your agent understand an existing codebase so it uses the code that exists instead of reinventing and repeating.
• AGENTS.md — how to wield the instruction file that steers an agent’s behaviour across a project, and what actually belongs in it.
• Skills — how to create and deploy reusable instructions as patterns and packages that your agent can pull in on demand, and how to write your own from prompts and workflows that you repeat.
• Progressive disclosure — structuring those instruction files so the agent loads only what it needs, keeping context lean.
• Crystal clear requirements — how to turn a grilling session into a clear spec the agent can build from, to deliver the results you actually want.
• Decomposing complex work into session-sized chunks — how to break down big projects into phases your agent can execute one at a time, and how (and when) to create a new session.
• Handoffs — how to leave a breadcrumb trail for your agent, so you can both pick up exactly where you left off — whether it’s the next hour, or next week.
• Subagents — how to delegate exploration and other tasks to “child” sessions with fresh contexts, to keep your main session sharp — all without juggling multiple terminal windows.

Learn and practice ALL of these concepts and more. Marathon it all within a few days, or spread it out to fit your life’s schedule or pace.

Get ready for hands-on learning

Together, you’ll learn how to inspect the inner workings of your AI coding harness, which lets you truly understand exactly what’s going on behind the scenes.

Once equipped with that understanding, you’ll be guided through the full build process for several real features end-to-end. This practice cements everything you’ve learned through real experience.

• In total, nearly 60 lessons broken down into 6 sections
• Each lesson includes video instruction so you can follow along with me on screen
• Each video lesson is accompanied by detailed written guides, step-by-step commands and prompts to try and adapt on your own, and quizzes to test your understanding