Ai-assisted Software Development Is Starting to Feel the Same

We build nonstop, creating agents, tools, and workflows, then throw everything at a model hoping it gives us what we imagined without understanding how it works. Sometimes it delivers something surprisingly good; other times it serves up charcoal with thyme and calls it medium-rare. That leaves two choices: learn to cook properly or keep paying for expensive disappointments.

AI isn't a chef; at best, it's a steak machine that can follow a recipe at scale but can't see the picture in your head unless you translate it into requirements and feedback. Even then, it's boxed in by its capabilities. You can correct it every thirty seconds, but that won't turn it into a Michelin-starred chef.

Eventually, you pay for the dream steak at an expensive restaurant, only to find every place hired the same AI cook. Most people won't notice, but you will because this was something you cared about. So you go home, pull out the cookbook, and learn to cook: what heat does, which pan matters, why thickness and resting matter. You ruin dinners, try again, and eventually stop depending on luck.