The best kind of programming is not when you get a lot done, but when you painstakingly spend extra time to arrive at something so simple and elegant that it ironically looks effortless and not worthy of any special regard.
"Stop bottlenecking development by reading code" say people who work on fun/convenience utilities and games. "We must review code" say people who work on finance, medical, low-level infra. Why so godddamn polarized? Read SOME code, use the right amount of due diligence per task.
There is still value for high level PLs and frameworks in AI world, but it’s mostly in critical industries (finance, medical, physical), where proving the outcome is not enough, you must also prove the steps taken. Clear code is that proof.
The more I say to AI, the worse it gets at what I don't say. This skews it away from balanced decision making.
Feels like picking stocks to try to win against the market.