The Feed & The Thread

We’re asking whether the line between designing and building is actually dissolving, or if we’re just shifting the burden of coordination onto product managers who were never hired for it. Nil Thyrion argues that design is becoming the primary differentiator as code generation gets easier, while Jeff Gothelf points out that PMs are absorbing a hidden load of project management that has simply migr...

We explore why repetition feels so comfortable, from Luke Wroblewski’s argument that intelligence is built on simple, repeated blocks to Dora Czerna’s warning that professional competence can trap us in stagnant routines. This tension between building a foundation and hitting a ceiling is mirrored in our Thread discussions, where we analyze why users abandon apps like Storagemagus and how even est...

We ask whether treating AI as a shortcut for user research trades necessary depth for speed, noting that while synthetic users match broad conclusions, they miss the natural variation that reveals edge cases. Rachel Banawa’s work on homogenized AI responses contrasts with Wira Indra Kusuma’s argument that abstracting people into metrics fails to validate their human stories. Meanwhile, we navigate...

We’re asking why our organizations are failing at AI adoption despite having the tools, arguing that the real friction lies in a cultural gap where staff see higher expectations rather than better working conditions. Paul Boag and Kate Agena highlight how ignoring personal benefit and treating knowledge as silos breaks the user experience, while Nick Babich shows how we must shift our expertise fr...

We’re asking whether intelligence is a destination we build or a capability we weave into existing work, a question Dan Maccarone answers by arguing that standalone AI apps are a trap that fails to create lasting habit. This tension between novelty and utility is mirrored in our community discussions, where designers grapple with the friction of adopting new prototyping tools and the risk that pla...

We explore the gap between automating transactions and maintaining human relationships, asking whether AI can finally handle the logistical friction that keeps us from showing up for each other. Julie Zhuo argues that AI’s real potential lies in managing the unglamorous work of social bonds, while we also examine why trust, not just usability, is the critical differentiator in automotive UX. This...

We’re producing more output than ever, yet we’ve confused activity with progress, a gap Mathieu Poli highlights by showing how AI defaults are eroding our creative distinctiveness just as Jeff Gothelf argues we need to validate hypotheses before we build. This episode cuts through the noise of "shiny objects" and resume padding to ask why we’re measuring volume instead of impact, from th...

We’re past asking if AI is fast enough; now we have to ask if it’s honest, especially when tools like Strava start defining who we are more than our own intuition does. We unpack the danger of "cargo cult" design and the rise of the Homo Metricus , where data overrides bodily sensation, while debating whether prioritizing polished aesthetics over functional clarity is just designing for...

We ask whether AI’s speed is actually improving our work or just shifting complexity to users who must now manage the "evaluation plumbing," as Patrick Neeman argues. Sophie Shrimpton warns that we’re risking a digital landfill of disposable interfaces by confusing fast design with true UX, while community discussions reveal a growing fear that ease of creation is leading to visual samen...

We’re facing a quiet shift where the bottleneck in design has moved from generation to curation, as Tanner Kohler argues that we’re losing value by manually managing stale context libraries while Hiroshi Sato urges us to design for ideas that don’t yet exist. This tension between managing chaos and embracing ambiguity is mirrored in our community’s struggle with homogenization and the sterile &quo...

We explore the dangerous illusion of synthetic research, where Kyle Soucy argues that LLM-generated users create a false confidence that masks bad decisions, while Emily Haines Lloyd warns that the influx of low-quality machine text is squeezing out the nuanced human work that actually resonates. This tension between automated efficiency and authentic connection extends to our daily tools, as we e...

We examine the growing gap between AI’s expanding capabilities and our ability to control them, starting with Patrizia Bertini’s argument that recent safety incidents are inevitable results of prioritizing speed over structural integrity. This tension is mirrored in the community, where senior designers report that current AI tools actually increase workflow friction by failing to respect existing...

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 filtering noise and guiding decisions. This is a conversation about reclaiming our role as strategic partner...

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 mirrored in our Thread, where we examine if seamless technical transitions and perceptual typography bias...

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 learning by bypassing the discomfort of challenging existing opinions. We also explore how design styles...

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 to farmers’ markets to design tangible, inclusive experiences for those with lower literacy. Meanwhil...

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 human judgment that Adam Cutler warns against. Meanwhile, we unpack the undervaluation of research ri...

We ask who actually holds the power to decide in design, exploring Stacie Sheldon’s argument that empathy often masks unchecked authority and Luke Wroblewski’s shift of that control from documentation to code. We contrast this structural shift with the human cost of the industry, from a professor advising students to hide their identity to a designer pausing history for user choice. It’s a look at...

We explore the widening gap between AI capability and human intent, asking whether precision in prompting, as argued by Theresa-Marie Rhyne, or owning the feedback loop, as Christian Crumlish suggests, is the key to bridging that distance. We also examine the emerging need for AI restraint, from a student’s prototype that chooses when to stay silent to the push for standardized compliance patterns...

We’re shifting from capturing attention to governing it, a move Aurélie Radom argues is necessary now that AI has made machine focus cheap and human attention the true scarce resource. This governance challenge extends to our tools and processes, from Will Schiavone’s findings on AI’s nuanced but fragmented coding of user responses to the practical headache of retiring static design assets that li...

We explore whether AI’s speed is liberating us for strategy or simply triggering a Jevons Paradox that demands more output, drawing on Daniel Ruston’s warning about the shift from maker to orchestrator and Caitlin Steele’s call for building “defensible space” against constant crises. By examining community debates on original craft versus automation and the tension between thematic aesthetics and...

We’re building AI systems faster than we can define who’s responsible when they fail, creating a dangerous gap where everyone feels they’re doing their job but no one owns the outcome. Jeff Gothelf argues we must name a specific accountable human before automating decisions, while Pavel Samsonov warns that we’re inverting design by seeking solutions before defining problems. This tension is mirror...

We ask who is responsible when the tools we rely on to store our work disappear, noting that a quarter of web pages from the last decade have already vanished. Dora Czerna argues that this loss forces us to take ownership of our data, while Fabricio Teixeira challenges the notion that static deliverables are the final product. We also examine a designer’s controversial shortcut of skipping manual...

We examine the blurring line between browsing interfaces and direct answers, asking where trust and value reside when the tool disappears. Taylor Dykes and Luke Wroblewski argue that context and outcomes matter more than static pages, while we debate whether choosing neutral typefaces like Helvetica is now a deliberate act of restraint against AI-generated noise. From The Feed Skip the Tools, Make...

We ask whether AI should feel like a tool or a companion, pitting Julie Zhuo’s argument for the "mom test" of approachability against Luke Wroblewski’s push for direct, just-in-time outcomes. This tension deepens as we explore how tactile design choices, from "soft screen" interfaces to living progress bars, ground digital interactions in physical reality. It’s a look at why ra...