Why This Is Different

Traditional programming education has always looked the same: type in these characters, hit enter, see “hello world.” Do this, then that, then this happens. Maybe that would have been helpful for some people. But it’s so different from what it is today.

To build the kind of things that AI agents make possible now, the traditional path would have required months or years of coding before you’d feel confident enough to write it all yourself.

Instead, there’s a different path. You can come at it from a systems-thinking point of view: understanding how projects built with code actually work. People who used no-code tools already learned some of this accidentally. Webflow is the front end, Zapier is the connective tissue (the API routes, the data flows), and Airtable is the database. Those system-level concepts transfer directly to AI-assisted coding.

There is so much you can learn. Often you’ll see something someone posts on Twitter and have no idea what it is or what you can do with it. But you can absolutely play around with it.

No piece of software feels unattainable. You can just git clone it and say, “What does this thing do?” Then explore whether it’s related to something you’ve been thinking about. It’s all exploration. And it’s genuinely fun.