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Why does AI suck at front-end? 🗑️ trained on garbage 👀 it can't see ❓ it doesn't know why 🏞️ no environmental control there's no human v20.2.1 to target. we're a LLM combinatorial explosion ⤷ nerdy.dev/why-ai-sucks...

I'd argue it is impressive that some of the generated front-ends are better than half-bad, considering these factors. Also, models have visual capabilities for while now. What models definitely lack is the "living process", how and why things get created, and the evolutionary pain that led there.

Exactly pointing out the issues. In my experience it’s great at writing functionality until it gets complex (context loss issue). It’s quite bad at design/visual stuff, despite models understanding “visual stuff” but that’s more Photoshop like visuals, not websites.

What I want to point out, what models lack, is what we call intention, motivation, experience through countless failures. They have to derive what we want, what our goal (their mission) is from a few tokens we hand them in the prompt. Therefore the results are fairly impressive IMHO.

If you pay a lot yes, otherwise not. I had it for a couple of big app features/services that they lost context and broke their own previous code in the same session. But we’re not talking about normal websites here but complex services.

Those failures, if they are not due to older/subpar models, may be a failure to communicate properly with these models -> "context engineering". If anything LLMs excel at grasping complexity our brains cannot, at least not consciously/"on demand". See e.g. Mythos/security fixes.