Writing code got cheap. Reading it did not. The engineer who can look at a large diff and say no is worth more than they were two years ago, not less. Every workflow worth building still assumes a human reads the thing.
An agent writes eighty percent of the change in about a minute. The last twenty percent is where prod breaks, and that part does not compress. Teams that optimized only the writing half moved their bottleneck. They did not remove it.
When something ships broken the ticket says the AI got it wrong. Which model. On what task. With what context. If nobody on the team can answer that, it is not a model problem, it is a logging problem. Put the model name in the commit.
Every AI coding demo builds the same thing. Empty folder, todo app, four minutes, applause. Your repo has a decade of decisions in it and one service nobody wants to touch. The gap between those two is the entire job. Judge tools on the second one.
