Personally, and this is just my wild guess; I think almost no one is _really_ going to learn to code again. That's not a slight on the next generation or anything; I wouldn't know how to code right now if LLMs existed 25 years ago. I love coding, but it's the _result_ that's the real accomplishment. The journey a bit... but having the result always just sitting there, ready to grab with no effort, is too much temptation to resist.

And as this goes on, folks who can run an LLM _and_ understand/criticize/rework/re-prompt are just going to get more and more scarce. Even using an LLM in my preferred style, where you guide the model through a long series of small steps, will fade away.

> And as this goes on, folks who can run an LLM _and_ understand/criticize/rework/re-prompt are just going to get more and more scarce.

As long as LLMs keep constantly making mistakes and introducing bugs and humans keep having to verify their output and clean up after them it should mean plenty of work for the few humans alive who can actually understand the code. Future AI models being trained on an increasingly large body of vibe coded bug-filled slop will only make the problem worse.

A small number of people with skills that are in demand will tend to make good money, and jobs that make good money will attract more people into learning how to code.