From time to time I try to do a pass of coalescing flows and cases and removing dead code to reduce the context and prevent the LLM from tripping over itself. But if it’s exclusively LLM maintained code I don’t care too much if there’s more of it.
Just last two weeks I had to slap Fable, three times, to stop writing 1000-2000 lines of defensive code... because of DB columns I just forgot should be NOT NULL. That was it. Nothing else. I told it that, boom, -4800 coding lines: gone.
LLMs defend the status quo and they regularly lose sight of everything bigger than the current PR they are working on.
I too am gradually making peace with the fact that LLM-maintained code does not have to be 100% readable for humans.
But this is not about readability. It's about the data model. So one concession I am willing to make is: don't care too much about the code _BUT_ manually curate the data model. So far: small wins on iteration turns and code volume producing. Too early to tell but for now I am happy with the results.
Its documentation about what the code does not do could fill whole books.
UI copy being full of slop explaining what the software does not do is another problem.
I am not convinced that a lack of negative test cases is an issue.
I do agree it generates too much code most of the time.
And the problem isn't just that it says what the software doesn't do, most of the things it claims are in fact meaningless, it's not even clearly describing something the software shouldn't do.