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Ngl I’m reading this article after having used ai to build a beautiful front end that is pixel perfect.

Yes ai can’t see, it only understands numbers. So tell it to use image magick to compare the screenshot to the actual mockup, tell it to get less than 5% difference and don’t use more than 20% blur. Thank me later.

I built a whole website in like 2 days with this technique.

Everyone seems to have trouble telling ai how to check its work and that’s the real problem imho.

Truly if you took the best dev in the world and had them write 1000 lines of code without stopping to check the result they would also get it wrong. And the machine is only made in a likeness of our image.

PS. You think Christian god was also pissed at how much we lie? :)

It's hard to interpret comments like this because we all have different standards and use cases. So it would really help if you could link to it. Even in a roundabout way if you want to avoid the impression of self-promotion.
Please share what you created! I think people have very different views for what is a good interface, or a tolerable one. I think as a front-end developer and designer I notice a lot of problems most people don't care about.
What’s the point in saying you built something beautiful and not showing it?

Share it. I used Claude earlier to test out its design capabilities and what I got as output was flat and tasteless.

I am a backend guy, so forgive my ignorance, but for web based apps I am confused what "pixel perfect" even means. I can build a site to look one way on my computer, it will most likely not look the same way on whatever device you use to access the site.

Feeding the model images for my local computer sounds like a recipe given my experience with the tools to have it over-optimize for the wrong end device.

Yes can you share the front end that you created using this technique?
We built the frontend for https://brooked.io and https://app.brooked.io using only prompting so I agree!
The last time I tried to make AI built a drag and drop UI, it failed miserably. Things wouldn't line up or even didn't work at all. Any tips for that?
> Yes ai can’t see, it only understands numbers.

I've also used AI to build frontends that I'm more than satisfied with, and I think it can "see" perfectly fine. The frontier models are multi-modal and pretty good at vision. You can hook up your coding harness to your browser which will take screenshots of your rendered frontend and modify the code accordingly.

> Ngl I’m reading this article after having used ai to build a beautiful front end that is pixel perfect.

Was about to say the same thing

If you are really good at something, you'll find AI sucks at everything.
After years of writing native code for mobile apps I'm using Flutter, and finding that, if you do things step-wise, and check in intermediate results so you can easily roll back failed experiments, agent-assisted coding can accelerate your front end coding substantially, and you can deliver more polished results instead of obviously demo grade visual results that need refinement. And that makes it easier to communicate with your non-coder colleagues.
Does this website run at 10fps for anyone else? I'm on a mac M4 w/ safari. Really doesn't help the author's point.
If AI really sucked at front end I'd have a job right now.
AI is much better at front-end than me, it has really enabled me to build visual apps as a normally backend/ML guy.
Ai ain't gonna perform at level of top front end designer but you will get you halfway at significantly less cost.
My first instinct reading an article (especially one about LLMs) is to scroll down to see the structure..

Anyway.

Do people get the impression that LLMs are worse at frontend than not? I'd think it's same with other LLM uses: you benefit from having a good understanding of what you're trying to do; and it's probably decent for making a prototype quickly.

Dunno. It’s really good with Preact + Tailwind. And I have to say that I think most problems can be solved this way and don’t require a special one-of-a-kind UI. In fact, the fewer special UIs I see, the better. I prefer standardized patterns unless they truly don’t fit a domain.
Aside from the obvious "AI can't see" criticism, AI sucks at frontend because frontend sucks. Why does frontend suck? Churn.

To quote the article:

1. "It trained on ancient garbage" which is the by product of massive churn and this attitude leads to even more churn

2. "It doesn't know WHY we do things" because we don't either... even the paradigms used in frontend dev have needlessly churned

My fix? I switched from React/Next to Vue/Nuxt. The React ecosystem is by far the worst offender.

I don’t 100% agree with the “AI can’t see” because in a Ralph-loop against screenshots, it basically can (inefficiently). But more importantly I do find it generally curious how bad even frontier models are in spatial thinking. Say “Align these right to left unless it crosses the center” or “Keep this box always visible and collapse X to make space” and all hell break loose - maybe it might work but in an extremely slow, costly and tedious process.
Design is an interesting beast.

Good design is not always logical. Color theory, if followed, results in pretty bad experiences. And interestingly, good design can't always be explained in a natural language.

Main thing is, it's very hard to get AI to have taste, because taste is not always statistically explainable.

The best I've gotten to is have it use something like ShadCN (or another well document package that's part of it's training) and make sure that it does two things, only runs the commands to create components, and does not change any stock components or introduce any Tailwind classes for colors and such. Also make it ensure that it maintains the global CSS.

This doesn't make the design look much better than what it is out of the box, but it doesn't turn it into something terrible. If left unprompted on these things, it lands up with mixing fonts that it has absolutely no idea if they look good or not, bringing serif fonts into body text, mixing and matching colors which would have looked really, really good in 2005. But just don't work any more.

Kimi k2.5 has been so far the best model for frontend. At least from my experience so far
Everything is nuanced and generalizations help no one. There are absolutely frontend apps where AI straight up crushes. Sure these much be less novel apps but most of what people work on is a CRUD-esque interface.
Creating a CODING.md or FRONTEND.md with rules and expectations for your LLM helps tremendously. You're right AI is not great at frontend (yet), but it does lift alot of the load. Like the top commenter says, there's not a great harness for iterative frontend building. But it can get you 80% of the way there if you give it some rules, and can do the annoying bits so you can concentrate on the 20% that is about design, effective communication and pixel-perfection.
Imo front end is what it’s best at.
Sure, but most companies don't seem to value Front End
>It's notoriously bad at math,

If you are going to criticize LLMs for being out of date, at least make sure your understanding isn't out of date.

double down on betting your career on being a css expert? what could go wrong
I have found that working with llms for frontend to be better than most of the developers I have worked with. A majority of devs I came across only had enough frontend knowledge to be dangerous and to consistently introduce frontend entropy.
I'm a backend dev and I'm always hearing about how LLMs are dramatically better at frontend because of much more available training data etc. Maybe my perspective isn't as skewed as I've been led to believe and LLMs need close supervision and rework of their output there too.
AI is great at front end. Scroll based animations are the devil and these "boring" designs it defaults to are (more often than not) super intuitive. Sure, some design quirks it'll guess are annoying, but have you seen the web?
Agreed on AI limitations in originality, but the industry sucked at UIs for so long, my expectations are low. I’m just hoping for widespread use of models that take the viewpoints of newbs for UI testing.
One thing that helps with #2 ('It cannot see') -- Try playwright-cli. Your agent can use it to inspect the DOM, see what styles are applied to elements, simulate clicks, etc.
Site has been slashdotted
This is something that talk with some friends, How IA is doing things in front end is complelty different from Humans. Humans can select colors and themes based in their criteria, and IA only generate what they learn as a machine that they are, and It's not bad, but the thing is that people that use IA for develop front-end are adapting what IA generate, and in the other hand developer is adapting to client. Which are different approaches.
I'd say UI is mostly a 2D tweaking + state management job, they don't exactly fit in a seq2seq style.
Who says it sucks at front end? Unlike Stackoverflow, AI does a great job of "center a div." I tend to like working from reference documentation which is great for Python and Java but challenging for CSS where you have to navigate roughly 50 documents that relate to each other in complex ways to find answers.

Like I don't give it 100% responsibility for front end tasks but I feel like working together with AI I feel like I am really in control of CSS in a way I haven't been before. If I am using something like MUI it also tends to do really good at answering questions and making layouts.

Thing is, I don't treat AI as an army of 20 slaves will get "shit" done while I sleep but rather as a coding buddy. I very much anthropomorphize it with lots of "thank you" and "that's great!" and "does this make sense?", "do you have any questions for me?" and "how would you go about that?" and if makes me a prototype of something I will ask pointed questions about how it works, ask it to change things, change the code manually a bit to make it my own, and frequently open up a library like MUI in another IDE window and ask Junie "how do i?" and "how does it work when I set prop B?"

It doesn't 10x my speed and I think the main dividend from using it for me is quality, not compressed schedule, because I will use the speed to do more experiments and get to the bottom of things. Another benefit is that it helps me manage my emotional energy, like in the morning it might be hard for me to get started and a few low-effort spikes are great to warm me up.

No worse than humans then.
Did they use it on this site to prove a point?
it's even worse on backend tasks.

but people writing shitty node.js code might beg to differ.

>Try asking it for some scroll-driven animations or custom micro-interactions

Unrelated, but as a long time front-end dev, FUCK THOSE.

...not in my experience. It does what I need it to do; center a div.
...Does AI suck at front-end? This is news to me.
Except... it doesn't