If you can reduce a problem to a point where it can be solved by simple code you can get the rest of the solution very quickly.
Reducing a problem to a point where it can be solved with simple code takes a lot of skill and experience and is generally still quite a time-consuming process.
The open question is why people needed fancy AI tools like Claude to write CRUDs in the first place. These kind of tasks ought to be have been automated a long time ago.
They have been, repeatedly, since the 70s. See dBase, Clipper, Microsoft Access, Hypercard, Ruby on Rails, stretching Wordpress to within an inch of its life, all manner of "no-code" things...
And, honestly, Excel. People do all manner of terrifying things with Excel, and it is unquestionably the most successful, and arguably the _only_ successful, "we can do this thing instead of employing a programmer" tool.
Generally, one of two things has happened. Either (a) the products of such automation become unmaintainable nightmares (common for the more automated approaches like MS Access) or (b) they become complex enough that they tend towards 'normal' programming (common with, say, Rails, where you could get a simple CRUD with basically just DSL, but realistically eventually you're gonna be writing lots of Ruby).
I feel like LLM-produced stuff is probably going to fall into column A.
So what’s interesting is that Copilot is basically useless for this task, as is Gemini. How is Microsoft messing up this badly?