[XCSme]

In my experience, when adding new features with LLMs, most of those optimizations come automatically.

Good models now already follow best practices when implementing, better than junior devs.

I wrote a bit about this, I call it "AI slap", lol:

https://x.com/XCSme/status/2079115230567686263?s=20

[embedding-shape]

> most of those optimizations come automatically

We're clearly thinking of very different "optimizations" here I think :) Do you have any concrete examples of this sort of optimizations you'd get automatically? In my experience, you get what you prompt for, if I don't include to think about performance, they won't think about performance, not sure what model would automatically consider things like that. Most of the time I use whatever SOTA OpenAI has on maximum reasoning level, fwiw.

[XCSme]

Not only performance optimizations, but also UI/UX.

If you ask to implement a custom dropdown that does something, it often comes with good spacing, aria-accessible tags, keyboard accessibility, etc. A junior dev wouldn't think of all of those.

Also, it will probably choose the right HTML elements to use for it (i.e. maybe the modern native popover functionality instead of implementing it with custom JS, which would indeed be more efficient and less code).

I am not saying it would add caching by default (even though, it might suggest that), but it's more likely to choose whatever the best options are and to use them as they should, including going around knowing limitations and gotchas.