I think I get you, though I've been thinking of it rather differently.
I feel like a lot of the evergreen hype in computing is framework, practices, etc, that try to break things down into a system where any junior could then just fill in each piece and of course this always collides with the larger context problems.
Once you get to a certain point with such a system, either you have been paying attention all along or you have no idea what you've made and how to deal with a real cross cutting problem and you get to the point where the systems promise is really irrelevant, you succeed based on actual expertise you supposedly weren't going to need.
With GPT-like AI around its current level, I feel like some of these systems for breaking down programming projects are going to face an actual test now that the junior engineers to do it are some GPU costs that could be run in parallel and won't have the usual heterogeneous resources problems of testing with a real project team.
I'm not really sure if any systems will survive (or something learned in the process will make a good one) but I feel like it would be a proof of a holy grail that is suppose quite important, and just the refutation of many systems is itself a major disruption to the field.
I feel like a lot of the evergreen hype in computing is framework, practices, etc, that try to break things down into a system where any junior could then just fill in each piece and of course this always collides with the larger context problems.
Once you get to a certain point with such a system, either you have been paying attention all along or you have no idea what you've made and how to deal with a real cross cutting problem and you get to the point where the systems promise is really irrelevant, you succeed based on actual expertise you supposedly weren't going to need.
With GPT-like AI around its current level, I feel like some of these systems for breaking down programming projects are going to face an actual test now that the junior engineers to do it are some GPU costs that could be run in parallel and won't have the usual heterogeneous resources problems of testing with a real project team.
I'm not really sure if any systems will survive (or something learned in the process will make a good one) but I feel like it would be a proof of a holy grail that is suppose quite important, and just the refutation of many systems is itself a major disruption to the field.