Before AI, learning to code meant starting with the basics, following tutorials, and gradually building projects.
Now? It’s flipped.
I often start by asking an AI to write the code. Then, when it breaks (or doesn’t work exactly how I want), I go step by step, debugging and understanding the logic.
It feels like reverse learning—build first, understand later. And honestly, it works surprisingly well for rapid problem-solving.
AI hasn’t just changed what we learn, but how we learn.
Does anyone else learn this way? Or do you prefer the old-school approach of mastering concepts first?