[mjburgess]

This is always the case though. A factor of 50x productivity between expert and novice is small. Consider how long it take you to conduct foot surgery vs. a food surgeon -- close to a decade of medical school + medical experience -- just for a couple hours of work.

There have never been that many businesses able to hire novices for this reason.

[pc86]

This is a big part of why a lot of developers' first 1-3 jobs are small mom & pop shops of varying levels of quality, almost none of which have "good" engineering cultures. Market rate for a new grad dev might be X, it's hard to find an entry level job at X but mom & pop business who needs 0.7 FTE developers is willing to pay 0.8X and even though the owner is batshit insane it's not a bad deal for the 22 and 23 year olds willing to do it.

[mjburgess]

Sure. I mean perhaps, LLMs will accelerate a return to a more medieval culture in tech where you "have to start at 12 to be any good". Personally, I think that's a good (enough) idea. By 22, I'd at least a decade of experience; my first job at 20 was as a contractor for a major national/multinational.

Programming is a craft, and just like any other, the best time to learn it is when it's free to learn.

[InitialLastName]

I think for a surgeon as an example, quality may be a better metric than time. I'll bet I could conduct an attempted foot surgery way faster than a foot surgeon, but they're likely to conduct successful foot surgeries.

[nradov]

Sure, but no one has found a good metric for actually quantifying quality for surgeons. You can't look at just the rate of positive outcomes because often the best surgeons take on the worst cases that others won't even attempt. And we simply don't have enough reliable data to make proper metric adjustments based on individual patient attributes.