I used to keep my chat apps open all day replying to every ping within five minutes because I thought it showed dedication.
All it really did was chop my day into tiny useless pieces where I couldn't focus on anything meaningful. The day I started batching my replies to just twice a day my anxiety dropped and I actually finished things on time. Nobody got mad and the world didn't end.
How do you manage your communication loops without letting constant notifications wreck your focus?
The baseline has moved fast this year. AI-generated UI is good enough now that for a lot of products the core screens come out clean on the first pass , dashboard, settings, checkout, all serviceable. That used to be weeks of work for a solo maker. It isn't anymore, and I don't think that's a bad thing.
I'm a UX designer, mostly on complex, high-trust products, and here's where I think it currently stops: AI generates screens, but product experience lives in the sequence between them. The happy path is basically solved. What doesn't come out of a prompt is what happens when someone is confused, hesitant, or something broke empty states, the permission ask that feels invasive, the error that doesn't say what to do next, the ability to undo something. None of those are visual problems, so a tool optimizing for a good-looking screen has no reason to raise them.
It's funny how smart these models are, yet they will completely ignore the clean patterns right in front of them and mimic some weird workaround I wrote in a utility file two years ago.
The more context or files I attach the more it hallucinates random functions that don't even make sense for what I'm building today.
I'm starting to think manual context curation is the only way to keep the code clean. How do you feed your tools the right files without overwhelming them with noise?
It's honestly hilarious and frustrating at the same time. I asked my coding assistant to fix a tiny typo in a button text yesterday and it came back with a brand new component architecture split files and a custom state hook. It felt like dealing with an overly enthusiastic junior developer high on espresso who just wants to show off everything they can do. I just wanted a one line string change!
Have you found a reliable way to keep these agents lazy and focused strictly on the exact line you point to?
I continue building UI pages for my email marketing platform using AI, and I wondered if AI generated UI designs are good enough for production apps?
They seem to work great on mobile devices and desktop screens. They load fast. They behave normally. I m personally perfectly fine and happy to use them in production, but what is your opinion? Am I missing something? Should I be worried about using them in production? To build UI I use Lovable and Google Stitch. I go feature by feature, and for each feature I create a separate Git branch. This way I m more careful that one update does not break my entire website. P.S. The attached screenshot is a work in progress design that I created using Google Stitch for the Email Automation and Sequencing feature.
I ran into this exact headache while pulling company details from random websites.
Some pages have their logo hidden in weird spots or completely skip a clear description, leaving my script scrambling. At first, I tried forcing smart guesses just so the UI wouldn't look empty but it backfired when the tool confidently displayed the wrong info to users.
Now I'd rather just leave a clean "not found" or let the user fill it in manually than show fake confidence. How do you handle UI states when your scraper comes back empty handed?
Hi there! I've been working in content marketing & SEO for almost a decade - and while I've seen many announcements of the death of SEO, the current search climate, combined with the latest announcements from Google are strong signals that SEO may (finally ) be over.
What do you think? Is "answer engine optimization" the answer?
I let an agent auto-generate unit tests for a complex module. It created 15 test cases, all green! But when I actually looked at the assertions, it was mocking everything into oblivion and testing getters and setters. How do you prompt agents to write rigorous, edge-case-heavy tests instead of vanity metrics?
