AI tools can generate UI really fast now.
At first glance, it feels like we’ve solved a huge part of frontend work.
But after spending time building and testing this space, I keep running into the same problem:
The output looks right…
but isn’t actually production-ready.
Here’s what I keep seeing:
1. Accessibility is usually shallow
Things like alt text, labels, and structure are often missing or generic.
It passes a basic check, but doesn’t really work in real scenarios.
2. Structure breaks under real usage
The layout looks fine visually, but:
- interactions don’t behave correctly
- components aren’t reusable
- edge cases break things quickly
3. You spend more time fixing than building
The biggest issue:
AI speeds up generation, but shifts the work to cleanup.
So instead of:
“build from scratch”
you get:
“fix what was generated”
What I’m starting to think
AI shouldn’t replace frontend development.
It should:
→ get you 70–80% there
→ without creating more work
That “baseline quality” layer is what’s still missing.
What I’ve been experimenting with
While working on an AI UI tool, I’ve been focusing more on:
- better semantic HTML output
- basic accessibility improvements
- reducing cleanup time after generation
Still early, but it changed how I think about the problem.
Curious what others think
If you’ve used AI UI tools:
👉 what’s the biggest thing that makes them not production-ready for you?
Top comments (2)
One thing I’m focusing on next:
making generated UI require less “fixing” after the first render
Feels like that’s where most tools fall short
This is something I’ve been actively trying to improve in a project I’m building — curious to see how others approach it