That time when you got to internalise through first hand experience what good & bad look like is when you built the skill/intuition that now differentiates competent LLM wielding devs from the vibers. The problem is that expectations of juniors are inevitably rising, and they don't have the experience or confidence (or motivation) to push back on the 'why don't you just AI' management narrative, so are by default turning to rolling the dice to meet those expectations. This is how we end up with a generation of devs that truly don't understand the technology they're deploying and imho this is the boringdystopia / skynet future that we all need to defend against.
I know it's probably been said a million times, but this kinda feels like global warming, in that it's a problem that we fundamentally will never be able to fix if we just continue to chase short term profit & infinite growth.
I would say that baptism by fire _is_ where the quality of an academic education comes from, historically at least. They are the same picture.
Education and training and entry level work build judgement.
In my experience, target schools are the only universities now that can make their assignments too hard for AI.
When my university tried that, the assignments were too hard for students. So they gave up.
If you didn't have high information density in essays you were torn into. AI was a disadvantage due to verboseness.
Most people dropped the class and prof went on sabbatical.
AI is either the next wheel or abysmal doom for future generations. I see both and neither at the same time.
In corporate environment where navigating processes, politics and other non-dev tasks takes significantly longer than actual coding, AI is just a bit better google search. And trust me, all these non-dev parts are still growing and growing fast. Its useful, but not elevating people beyond their true levels in any significant way (I guess we can agree ie nr of lines produced per day ain't a good idea, rather some Dilbert-esque comic for Friday afternoon).
The bigger question (that remains to be seen and played out) is whether AI will be a forcing function towards small-cap. If smaller companies can build the same products as larger companies with fewer people then they can compete on price and win, hollowing out the revenue base of large-cap companies and leading to their downfall due to the dwindling workforce not having the culture to adapt. Of course reality is more complicated (moats, larger companies making too-good-to-be-true offers to acquire smaller competitors to prevent the emergence of genuine competition, boys-club who-you-know-not-what-you-know corruption via lawfare ...) so, yeah, remains to be seen.
> I'll usually turn off AI tools for a good chunk of the day just to make sure I don't get too rusty.
AI has fundamentally broken the education system in a way that will take decades for it to fully recover. Even if we figure out how to operate with AI properly in an educational setting in such a way that learners actually still learn, the damage from years of unqualified people earning degrees and then entering academia is going to reverberate through the next 50 years as those folks go on to teach...