How AI Flipped the Way We Learn to Code

Question

Not long ago, learning to code meant starting with fundamentals, reading documentation, and slowly building projects from scratch.

Today, the process feels completely different.

I often begin by asking an AI to generate the code. Then, when something breaks—or doesn’t work the way I expect—I dig into the details, debug line by line, look into tutorials, articles and figure out the logic afterward.

It’s like learning in reverse: build first, understand later. And honestly, it’s a surprisingly effective way to learn fast.

AI hasn’t just changed the tools we use—it’s reshaping the entire learning process.

Do you find yourself learning this way too? Or do you stick to the traditional “concepts first” approach?