AI Coding for Real Engineers

A two-week cohort for developers who want to use AI coding tools on real production-style work: context gathering, planning, steering, feedback loops, AFK agents, and human-in-the-loop review.

Do you use AI coding tools?

I do.

Using AI to write software every single day for months has taught me a lot. It's changed some of my opinions, and significantly upgraded the way I think about modern software engineering.

Here's two things I've learned

AI can be both overhyped and powerful. It's extraordinarily useful, when handled correctly.
AI is a call for devs like us to deepen & upgrade our fundamental skillset: engineering.
AI coding can help devs like you produce code faster, better, more useful than before…and code that's potentially much more dangerous, too. Technical debt. Wasted time, energy, and effort.

A tool like Claude Code can be your best friend, or the worst teammate you've ever had.

It's all in how you use it.

First step: Analyze like an engineer
Production environments - especially existing codebases - require a professional approach.

Fancy tools can't eliminate engineering. In fact, the better the tools get, the wider the gulf gets between vibe coders and real engineers.

A real engineer knows the real work of software development has never been lines of code.

They know that engineering happens in the brain, not the IDE.

You, the engineer, have got to have a plan to prevent

Data loss or destruction
Non-compliance with industry or corporate standards
Breaking changes subtle enough to escape notice until it's too late
Most existential of all: getting stuck in the mud as you lose your "sense" for a codebase
That last one should really be on ALL of our minds, because losing this sense isn't just an emotional reaction. It's a genuine cognitive loss that leads to a loss of understanding, team confusion, and the kind of overwhelm that does real (and possibly long term) damage to devs and their teams.

These are high stakes, and the costs can be staggering.

But these problems aren't new problems, even though they're accelerated by new tools.

Software developers like you have faced these same challenges with every innovation: from scripting languages to GUIs to advanced web frameworks, from outsourcing to distributed computing.

This is the legacy of engineering: our tools are always changing. And we're always adapting.

We can use these new tools to accelerate new solutions, too.

That's why real engineering skills matter, today, tomorrow, and forever.

Second step: Think like an engineer
A real engineer knows their tools intimately: what a tool is good for, how and where it excels, where it fails or falters, and how it breaks.

And, as an engineer, you should know that while AI is a new and unusual tool… it's still a tool. One you must fit intentionally into your professional software development process.

You can build the process that makes these tools trustworthy.

These are the core engineering skills you'll need to get the most out of Claude Code, or any AI-coding assistant

Communicating: clearly sharing your thoughts, ideas, observations, requirements
Anticipating: quickly identifying potential problems before they happen
Planning: reliably turning huge chunks of work into well-formatted PRDs
Decomposing: thoughtfully breaking down big plans into well-scoped, iterative tasks
Delegating: confidently knowing what & how to offload tasks
Systematizing: consistently building feedback loops that produce quality outputs (types, tests, & reviews)
Parallelizing: mindfully balancing quality assurance and coding, for maximum productivity
These aren't new ideas. This is engineering.

And I'll let you in on a little secret: these higher-order skills apply just as much to working effectively with people, not just coding agents.

Real engineering is the only way to generate safe, worthwhile, long-lasting code… by hand, or with AI tools.

If you don't use these skills - or you don't consistently use these skills - in your dev process today, today is the day to learn how.

And if you do use these skills today, writing code by hand, now's the time to learn how you can apply them with Claude Code.

The way you produce lines of code may change, but the core fundamentals of producing well-engineered software is eternal.

Your engineering skills make the difference between success and failure, enhanced productivity and technical debt at speed, safe code and code that risks everything.

Now: Learn to use AI coding like a real engineer
When you practice real engineering, you unlock the power of Claude Code.

For example, I've always dreamed about building the perfect course creator, designed specifically for my personal course development process.

From keeping my ideas organized, to the actual recording and editing process. I just knew that the right piece of software could let me focus more on making the learning experience amazing.

But this is my livelihood. It couldn't just be a vibe coded weekend project. I needed a reliable, professional grade tool, and knew that justifying that kind of time investment never made sense.

So for multiple years, that tool remained a pipe dream, with many aborted attempts.

But since I've started using Claude Code with Ralph loops, I've shipped over 1,000 commits, and created and closed over 500 of my own issues. Today, my professional-grade course creator includes things I never imagined possible

a full in-browser video editor
AI writing assistant with 14 unique modes
Dropbox/CMS/YouTube/X/LinkedIn sync
It’s all powered by TypeScript (obviously), and backed by the amazing Effect.ts library.

And here's the kicker: I built everything in my spare time, while running my business and enjoying life as the loving dad of my 2-year old.

I want to share that power with you.

So I went into brainstorm mode, and asked myself

What do developers need to become engineers empowered by Claude Code?

And that's how AI Coding for Real Engineers came to be.

I designed a new 2-week course for you, where you will…

learn & refresh timeless engineering skills
update your engineering skills to include a new AI-assisted development workflow
You'll learn the fundamentals of how Claude Code works, what it can & can't do, how to prep your work, manage and steer it with token-efficient but reliable rules, keep your projects on track and on spec, test outputs, and ensure quality at every step.

You'll learn how you can fit Claude Code into a real-world production environment, with an existing codebase and procedures.

And you'll experience how correctly wielding a powerful tool like Claude Code can strengthen your abilities and deepen your understanding of your codebase.

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