Yeah but what I'm saying is the level of engineering power that goes into making such relatively simple abstraction is huge and we have decades of experience.

Yeah but what I'm saying is the level of engineering power that goes into making such relatively simple abstraction is huge and we have decades of experience. I think if AI ever gets to the point where it's so reliable for natural language -> code - we're into the AGI era and I don't see the role of programmers at all - bridging that layer successfully requires some very careful analysis and context awareness. Unless you think we're headed off in a direction where LLLms are gluing idiot proof boxes that are super inefficient but get the job done. I can sort of see that happening but in my experience reasoning through/debugging natural language specs is harder than going through equivalent code - I don't think we're getting much value here and adding a huge layer of inefficiency.