ОТНОСТНО ТОЗИ ЕПИЗОД
Today we explore Fabricio Teixeira argues this curated newsletter from ux collective critiques the current state of ai interfaces, arguing that relying on text pr, info@lukew.com argues luke wroblewski argues that generating mockups was never the difficult part of design; the true challenge lies in mainta, and juliahansen argues rosenfeld media has announced new sessions for its third annual 'designing with ai' conference, highlighting the rapid e. We also dive into community debates on Nobody told me how much UX depends on other people doing their job well too and unpaid design exercises - where's the actual line between screening and free labour.
From The Feed- New sessions added to the Designing with AI 2026 program (juliahansen) — Rosenfeld Media addresses design-engineering friction and vibe coding constraints in their updated conference program.
- How I use AI to partner on design problems (Suleiman Shakir) — Suleiman Shakir advocates for AI systems that hold project context, allowing designers to focus on high-level reasoning.
- The thinking was never just mine (Giorgio Schirò) — Giorgio Schirò argues AI accelerates existing cognitive loops, revealing that human thinking has always extended into tools.
- I’m starting to think users don’t actually remember how they use products (r/UserExperience) — Self-reported user narratives often contradict behavioral data, requiring mixed methods for accurate insights.
- Voice of the User: "Pure Qual Is Cooked. The Market Did Not Ask How You Feel About It". Critiques or thoughts? (r/UXResearch) — The community rejects doomer narratives, affirming that mixed methods remain essential for understanding complex human behavior.
- Prompt is not interface, UI patterns that won’t survive, how to make Claude follow your design… — Fabricio Teixeira
- Mockups Were Never the Hard Part — info@lukew.com
- The newest term in the AI lexicon is "interpassivity" — Pavel Samsonov
- Nobody told me how much UX depends on other people doing their job well too — r/UXDesign
- unpaid design exercises - where's the actual line between screening and free labour — r/UXDesign
- What is the difference between Staff level and Senior level when it comes to product/ux design roles? — r/UXDesign
- Just wanted to share my experience from the hiring side of Upwork — r/UXDesign
- Designing for 'Digital Friction': How to create a social experience that intentionally slows users down? (Seeking Feedback) — r/UXDesign
- Anyone at Learners Week 2026? — r/UXResearch
- This is how you handle design exercises in a hiring process — r/UXDesign
- I’ve spent 3 months interviewing for a UXR role just to be told they don’t want a UXR after all…. — r/UXResearch
About The Feed & The Thread
The Feed & The Thread is a daily summary of UX articles found in the industry and some light-touch updates from the UX Community found in online forums. It’s brief, and meant as a light-touch overview of what’s happening across UX.
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ТЪРСЕНЕ на МИНАЛИ ЕПИЗОДИ
Търсене в минали епизоди на The Feed & The Thread.
ДРУГИ ЕПИЗОДИ В ТОЗИ ПОДКАСТ
We’re asking whether the tools that make us faster are quietly eroding the deep expertise that defines our craft, as Slava Polonski warns of "AI skill atrophy" and Jessica DeMartini argues we must retain human judgment over mere artifacts. This tension between efficiency and depth is mirr…
We examine whether AI speed is actually a pressure valve that traps us in constant cognitive load, as Pedro A. Brêtas argues that saved time just fills with new demands. This tension deepens when we look at the "vibe architects" creating fragile, unmaintainable systems and the atrophy of …
We’re drowning in AI tools but starving for strategy, so we ask whether we’re using these tools to ship faster or to understand deeper. Jeff Gothelf proposes a lightweight canvas to cut through the feature-stuffing chaos, while Pavel Samsonov warns that our obsession with speed is killing real lear…
We keep building for the average user, but the real friction lives at the edges where standard heuristics fail the bottom third of our audience. Patrick Neeman argues that we must respect Doherty’s threshold to keep humans in the loop long enough to catch AI errors, while Kai Wong suggests looking …
We ask what remains of human judgment when machines handle the heavy lifting, a tension that forces us to move from passive reporting to strategic recommendation. We examine Dan Saffer’s six interaction models and Jim Lewis’s data on AI’s false alarms to argue that our durable value lies in filteri…
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