Comment by svilen_dobrev

i have been programming for 40years.. but still have not dipped in this brave new world of shakespeare-taught coding-LLMs.

IMO there's one basic difference with this new "generative" stuff.. it's not deterministic. Or not yet. All previous generations "AI" were deterministic.. but died.

Generating is not a problem. i have made medium-ish projects - say 200+kloc python/js - having 50%-70% of code generated (by other code - so you maintain that meta-code, and the "language" recipes-code it interprets) - but it has been all deterministic. If shit happens - or some change is needed, anywhere on the requirements-down-to-deployment chain - someone can eventually figure out where and what. It is reasoned. And most importantly, once done, it stays done. And if i regenerate it 1000 times, it will be same.

Did this made me redundant? Not at all. Producing software is much easier this way, the recipes are much shorter, there's less space for errors etc etc. But still - Higher abstractions are even harder to grasp than boilerplate. Which has quite a cost.. you cannot throw any newbie on it and expect results.

So, fine-tuning assembly - or manual transmission - might be gonna-be-obsolete skill, as it is not required.. except in rare conditions. But it is helpful to learn stuff. To flex your mind/body about alternatives, possibilities, shortcuts, wear-and-tear, fatigue, aha-moments and what not. And then move these as concepts, onto another domains, which are not as commoditized yet.

Another thing is.. Exupery in Land-of-people talks about technology (airplanes in his case), and how without technology, mankind workarounds/ avoids places/things that are not "friendly", like twisting roads around hellscapes. While technology cuts all straight through those - flies above all that, perfect for when it works - and turns into nightmare when it breaks right in the middle of such unfriendly "area".

dunno. maybe i am getting old..