Lately I've been thinking a lot about how AI is changing the way I learn to code.
It helps me solve problems faster, but sometimes I wonder if I'm giving away the part that actually makes me grow—the struggle of figuring things out myself.
I've also realized that, at times, it's taken away the satisfaction of building something that truly feels like mine. Not because AI is bad, but because I leaned on it before giving myself a chance to think, experiment, and fail.
The projects I'm most proud of aren't the ones I finished the fastest. They're the ones where I got stuck, read the documentation, made mistakes, and eventually figured things out on my own.
I don't think AI is the problem. The real challenge is finding the balance between using it as a teacher and letting it become a substitute for our own thinking.
This is something I'm trying to improve, and I'm curious—have you ever felt the same way? How do you balance AI with genuine learning?
United States
NORTH AMERICA
Related News
Secret Claude Tracker Shocks Users After Anthropic's Anti-Surveillance Stance
12h ago
EV Batteries Defy Expectations, Last Hundreds of Thousands of Miles
1d ago
GBase 8a Performance Anomaly Case Study: How a Single Parameter Change Sparked a Chain Reaction
1d ago
Who Else Has Inherited a Codebase With Zero Comments and a Prayer?
1d ago
完美的平庸
3h ago