53% of mobile visits leave a page that takes longer than 3 seconds to load. That means that a large number of visitors probably abandoned these sites because they were staring at a blank screen for 3 seconds, said “fuck it,” and left approximately half way before the page showed up. The fact that the next page interaction would have been quicker—assuming all the JS files even downloaded correctly in the first attempt—doesn’t amount to much if they didn’t stick around for the first page to load. What was gained by putting the business logic in the front end in this scenario?
And by LLMS I mean: (L)ots of (L)ittle ht(M)l page(S).
I really like this approach: using separate pages instead of in-page interactions. I remember Simon talking about how great this works, and that was a few years back, before we had view transitions.
I build separate, small HTML pages for each “interaction” I want, then I let CSS transitions take over and I get something that feels better than its JS counterpart for way less work.
This is very nice HTML web component by Miriam, progressively enhancing an ordered list of audio elements.
Want to use all those great features that have been in landing in browsers over the past year or two? View transitions! Scroll-driven animations! So much more!
Well, your coding co-pilot is not going to going to be of any help.
Large language models, especially those on the scale of many of the most accessible, popular hosted options, take humongous datasets and long periods to train. By the time everything has been scraped and a dataset has been built, the set is on some level already obsolete. Then, before a model can reach the hands of consumers, time must be taken to train and evaluate it, and then even more to finally deploy it.
Once it has finally released, it usually remains stagnant in terms of having its knowledge updated. This creates an AI knowledge gap. A period between the present and AI’s training cutoff. This gap creates a time between when a new technology emerges and when AI systems can effectively support user needs regarding its adoption, meaning that models will not be able to service users requesting assistance with new technologies, thus disincentivising their use.
So we get this instead:
I’ve anecdotally noticed that many AI tools have a ‘preference’ for React and Tailwind when asked to tackle a web-based task, or even to create any app involving an interface at all.
I have to agree with John here:
There’s absolutely no reason the mobile web experience shouldn’t be fast, reliable, well-designed, and keep you logged in. If one of the two should suck, it should be the app that sucks and the website that works well. You shouldn’t be expected to carry around a bundle of software from your utility company in your pocket. But it’s the other way around.
There’s absolutely no technical reason why it should be this way around. This is a cultural problem with “modern front-end web development”.
Having fun with view transitions and scroll-driven animations.
It’s kind of ridiculous that this functionality doesn’t exist yet.
Here’s Clearleft’s approach to browser support. You can use it too (it’s CC-licensed).
Browser are user agents, not developer agents.
If a browser feature can be used as a progressive enhancement, you don’t have to wait for all browsers to support it.