The AI-Coding Revolution

For decades, learning to code meant years of study. You memorized syntax, learned algorithms, built toy projects, and slowly — painfully — developed the ability to build real software. Most people who started never finished.

That world is shifting into something entirely new.

What Changed

AI coding assistants fundamentally altered what you need to know versus what you can delegate. The old model required you to hold everything in your head: language syntax, library APIs, design patterns, debugging techniques. You had to remember how to write a for-loop, connect to a database, or parse JSON.

Now? You describe what you want, and AI writes it. You don't need to memorize the syntax for reading a file in Python — you need to know that files exist, how they work, and when to use them. The AI handles the rest.

The New Skill

This doesn't mean coding became "easy." It means the hard part shifted.

The new skill isn't typing code — it's directing the AI. Knowing what to ask for. Understanding the system well enough to spot when the AI makes mistakes. Architecting solutions that work at scale. Debugging when things go wrong.

In other words: thinking like a developer, even if you're not writing every line yourself.

Why This Matters for You

This is the biggest shift in software development since the internet. And it's happening right now.

People who understand the fundamentals — how computers work, how software is structured, how systems connect — can leverage AI to build things that would have taken teams of engineers a decade ago.

People who skip the fundamentals? They'll be stuck prompting blindly, unable to fix problems or build anything complex.

Codistry exists to put you in the first group.

The Opportunity

You're learning at the perfect moment. The tools are mature enough to be genuinely useful, but the skills are rare enough to be valuable. Most people are still figuring this out.

By the time you finish this curriculum, you won't be most people.