I'm solidly a generalist, I custom create designs for products and implement them, and also work on backends and large scale production ml systems. I would actually have to agree with the person you are replying to - simply because backends are text problems, (an LLMs domain), and frontends are visual - llms are just still not quite as good at seeing details as humans, whereas they can scan a large codebase for possible problems much faster than any human could. Both areas need careful supervision and feedback loops, adversarial reviews etc - but for the frontend, I find myself having to do much more manual work actually checking myself, because an llm just doesn't get symmetry if it doesn't perfectly correlate to margin being 16px on both sides of a box, etc, ie symmetry you can see in code. Or whether a design "feels" nice to look at, etc. But with backend, you give it proper guidance to create tests, do benchmarking, follow sane design patterns, etc, and its very effective.

I’ve been writing front-end code for more than a quarter of a century. I can assure you I’m not saying this because I’m unfamiliar with the field.

Honestly I think it's great at the things I do know about. I've been doing this stuff soup to nuts since javascript was released, and it's tactically better across the board - presentation, ux, frontend ui, api, backend, databases, even systems and devops.

It's taste can be atrocious, so we're not replacing engineers entirely yet, but it's clear that it's almost hands off for any task I would have done as a consultant in 2012, for example. And, contrary to my opinion a couple months ago, I think taste is a pretty shallow moat, ultimately. Many of my clients when I was operating a consultancy had plenty of taste, if that's all they required, and I think it'd be foolish to assume frontier models won't acquire taste eventually.

I do think that, ultimately, the tippy top of the pinnacle for things like truly original design work, truly original work of any kind, will take a long time to replace. But most software engineering isn't moving the boundaries of the possibilities of humanity, it's making sure that we can turn $0.10 of infra spend into $2 of revenue reliably.