Few months ago, AI felt like a superpower. I was shipping features faster than ever, smashing bugs in minutes and building side projects on a coffee break. Then I noticed something strange: I was solving problems faster... but understanding them less.
It hit me when I asked AI to fix a weird bug in my latest project. The code compiled, tests passed, everything was green. But a week later I realized I couldn’t explain half of that fix. It worked perfectly, yet I hadn’t learned why it worked. That realization was terrifying.
Friction vs. Understanding
AI isn’t removing complexity – it’s removing the friction. Those frustrating late-night searches through docs and Stack Overflow posts used to teach me the system. Now I skip straight to the answer. That’s powerful, but it means I might miss the lesson. The effort wasn’t the enemy; sometimes it was the teacher.
Working code ≠ Understanding.
