[varispeed]

How deep do you want to go? Because reasonable person wouldn't have expected to hand hold AI(ntelligence) to that level. Of course after pointing it out, it has corrected itself. But that involved looking at the code and knowing the code is poor. If you don't look at the code how would you know to state this requirement? Somehow you have to assess the level of intelligence you are dealing with.

[feastingonslop]

Since the code does not matter, you wouldn’t need or want to phrase it in terms of algorithmic complexity. You surely would have a more real world requirement, like, if the data set has X elements then it should be processed within Y milliseconds. The AI is free to implement that however it likes.

[sarchertech]

Even if you specify performance ranges for every individual operation, you can’t specify all possible interactions between operations.

If you don’t care about the code you’re not checking in the code, and every time you regenerate the code you’re going to get radically different system performance.

Say you have 2 operations that access some data and you specify that each can’t take more than 1ms. Independently they work fine, but when a user runs B then A immediately, there’s some cache thrashing that happens that causes them to both time out. But this only happens in some builds because sometimes your LLM uses a different algorithm.

This kind of thing can happen with normal human software development of course, but constantly shifting implementations that “no one cares about” are going to make stuff like this happen much more often.

There’s already plenty of non determinism and chaos in software, adding an extra layer of it is going to be a nightmare.

The same thing is true for every single implementation detail that isn’t in the spec. In a complex system even implementation details you don’t think you care about become important when they are constantly shifting.