... everyone, We spend our days watching AI coding agents refactor legacy code, and we kept seeing the same failure. Agents know designpatterns from training data, but they know them unevenly. They invent one-off abstractions where a named

... which patterns are banned. AI-generated UI converges to generic when it starts from nothing; it gets surprisingly distinctive when every generation starts from your accumulated constraints. Where I'd still bring in a human designer

... build?" It also needs: "What should remain untouched?" Curious how others handle this with AI-generated UI: Do you give your agent explicit constraints about what it must not change, or do you rely on it discovering the existing designpatterns itself? Comment from Konstantin Tikhaev(@konstantin_tikhaev): @evolvix_ai  Hard git hooks on the protectd paths are the only real fix. Letting the model "audit" its own compliance is just asking for blind spots. The system will miss ... ... distinction between catching a new value and catching the wrong existing value . The first seems much easier to automate; the second still needs more contextual understanding. The fixed variants file + CI check is a really clean

... However, it may not fully understand which customer problems are genuinely important or which business constraints should take priority. 2. System Design and Architecture AI can generate initial architecture diagrams, propose API structures, draft database schemas, and suggest common design

... without: Claude - Designing prototypes, brainstorming and of course coding Figma - Designing

... within allowed areas. Timers reduce misuse. GPS helps recovery. From this Idea Usher review , these choices show that the team designed for sustainability, not just launch. Without these guardrails, shared fleets deteriorate quickly. Observations on UX Decisions A few design

... trust rather than novelty. If you re building or evaluating healthtech products, I hope this breakdown offers useful insight into the realities of designing AI-powered healthcare platforms. Happy to discuss architecture, compliance tradeoffs, or AI-in-healthcare design

... ghost jobs and dead listings so you don't have to waste time applying. And here's the thing: our AI actually understands technical skills. It's not a non-technical recruiter guessing. It evaluates your backend chops, your designpatterns, your problem-solving approach; the stuff that actually matters. The results: Job seekers spend less time applying and more time interviewing, with roles that actually fit. No more wasting hours on dead ends. Companies hire 3x faster ...

... demo, we did exactly that. Powered by supOS + LLMs, we turned natural language into a working MES backend and frontend in minutes. Here s what we covered: Define product requirements with plain English Guide the LLM using Unified Namespace designpatterns Auto-generate Node-RED flows for MES backend Deploy & visualize in real-time Connect a custom frontend no manual coding needed! Built for a microbrewery, but imagine the possibilities across your factory floor. Watch the magic in action ...

... that's for future. Of course you might be worried about your API keys. If you are, I don't have a solution for you right now, but I'd gladly hear you out on some great architectural designpatterns that would prevent anyone but you to read your precious secrets, even if they are living on a hosted server. Also, this is my first post on ProductHunt :) cheers. Comment from Rodrigo Soviero(@rodrigo_soviero): @sakalys  That is suuuuper ...

... fellow PH folks, After 25+ years in design and selling my own design