UXer_Alex Tamayo 🦇

Look for the first users forging the desire path. #ux "When you look at innovations consistently, users are first. Users are the pioneers." -Eric von Hippel sloanreview.mit.edu/article/the-cu…

@BenjaminUIX If you’ve sacrificed problem solving for velocity and increased risk.

Gave the same exact prompt : Snitch → 30 sec Claude → 30 sec Me → 2–3 hours AI speeds things up. You define the quality. We’re not competing with AI anymore. We’re competing with speed of execution and quality

@samtwtss This is literally the design process*. Sketch -> mock. *Design thinking, problem solving not shown

bro, it's so over for designers google stitch is insane. 🤯

Are designers cooked? I tried Google's new Stitch product! (no, of course designers aren't cooked, but stitch is super cool) youtu.be/tm9im-3g8fY

Google disrupting Figma is unexpected

🚨BREAKING: Claude has a hidden feature called "Learning Mode." It turns Claude into a personal tutor that teaches you anything step-by-step. Here's how to use it 👇

I’d be 1000% ok with the use of AI in this movie

@dotmariusz @shashpicious_ Claude launched to a core of beta and early adopters not zero

@ADangerDesigner @shashpicious_ TIL Claude has zero users.

honestly makes sense. the whole research → personas → wireframes → final mockups sequence was never a rule of product building. it was a rule of portfolio formatting.

Narrative violation. Cursor goes $1B to $2B in 3mos. Claude Code went $0 to $2.5B in 8mos. Everyone in the tech/X bubble think people are wholesale ditching Cursor, but enterprise diffusion is glacial. Most of the world just got a hold of it.

The whole point of AI agents is to give you more time. Yet I see people using these agents spend 19 hours a day nurturing these. Somebody clarify this oxymoron.

My "Judgment Still Required" workshop is happening this Saturday, Feb 28th. If you’ve found yourself thinking differently about your UX role over the past few days — even slightly — now is the right moment to lean into that. Because here’s the reality inside most product teams right now: Output is speeding up. Expectations are tightening. And roles are being evaluated through what’s most visible. If you’ve felt even a subtle amount of pressure to defend your methods, or to justify your time, or to explain why rigor still matters…that’s the shift. On Saturday, we’re NOT going to talk about AI tools. Instead we’re going to spend our time working through something a hell of a lot more practical: – How your role is currently being evaluated. – Where automation actually narrows perception. – And how to reposition your contribution around decision quality and business risk — instead of execution. In two focused hours, you’ll: – Identify which parts of your current work are automation-exposed. – Surface where your judgment already alters outcomes. – Rework how you describe your role in meetings and interviews. – Learn how to elevate your visibility and value to management and executive leadership by proactively researching the things they care most about. – Leave with a clear, rock-solid professional narrative — grounded in how business decisions actually get made. If you’ve been sensing the ground shift — but haven’t had the space to step back and think clearly about it — I'm going to give you that space during this session. You'll find all the details in the first comment below.

@craigzLiszt —That want to solve cool shit!

we need more people in the world that want to build cool shit

@ImNikhil117 @lennysan @jenny_wen @AnthropicAI And users are left in the dust

@lennysan @jenny_wen @AnthropicAI When engineers can spin up 7 agents and ship overnight, the bottleneck moves from execution to taste. Design isn't dead. Bad design process is.

My biggest takeaways from @jenny_wen (design lead at @AnthropicAI): 1. The traditional design process is breaking down. The classic discover-diverge-converge loop that designers have relied on for years doesn’t work when engineers can spin up seven coding agents and ship a working version before a designer finishes exploring options. 2. Design work is splitting into two distinct modes. The first is supporting execution: consulting with engineers as they build, giving feedback, polishing in code. The second is setting short-range vision, now scoped to three to six months instead of multi-year roadmaps. The vision work is still critical because when everyone can build anything fast, someone needs to point the team in a coherent direction. 3. Build trust through speed, not perfection. Anthropic ships products early, labels them research previews, and then iterates publicly based on real feedback. Jenny argues that what actually degrades a brand isn’t launching something rough; it’s launching something rough and then going silent. If you ship fast, respond to feedback visibly, and keep improving, users will trust you more, not less. 4. The most overlooked hire in design right now is the cracked new grad. Most companies are hiring senior designers with deep experience. Jenny argues that early-career people with blank slates, fast learning curves, and no attachment to legacy processes may be uniquely suited to this moment. They don’t carry baked-in rituals that are now obsolete, and their lack of expectations can actually be an advantage. 5. Chat as an interface isn’t going away. Despite expectations that chatbots were a temporary stop on the way to richer UIs, Jenny sees chat as a permanently valuable interface because it offers infinite flexibility. But she expects a hybrid future where models increasingly generate UI elements on the fly for specific tasks (like the interactive widgets Claude recently shipped) while chat remains the connective tissue between them. 6. Jenny went from design director (12 to 15 reports) back to IC. She questioned whether middle management had a safe future and wanted hands-on time during a period of rapid change. The IC time is giving her hard skills she wouldn’t have gained while managing. 7. AI will likely get better at taste and judgment. Jenny says designers may be holding onto “taste” as a moat too tightly. But someone still has to be accountable for what ships, the same way an engineer is accountable for AI-generated code. 8. Hire three archetypes: strong generalists, deep specialists, and “cracked new grads.” Strong generalists are “block-shaped” (80th percentile across multiple skills). Deep specialists are top 10% in one area. Cracked new grads—the most overlooked—have no baked-in processes and learn new tools fastest. 9. Figma is still essential, but for different reasons than before. Jenny says Figma remains the best tool for rapidly exploring 8 to 10 different design directions on a canvas, something that coding tools handle poorly because they’re too linear and create investment bias toward one direction. For micro-level visual and interaction decisions, spatial exploration still beats sequential iteration. 10. Low-leverage work is often the highest-leverage thing a manager can do. Jenny pushes back on the conventional management advice to ruthlessly prioritize only high-leverage tasks. She points to leaders who obsessively dogfood the product, repro bugs, and personally fix small issues—activities that seem “below” a senior leader but create deep product familiarity, set a cultural tone of care, and earn trust from the team in ways that strategic planning never can. Watch our full conversation: youtube.com/watch?v=eh8bcB…

@lennysan @jenny_wen @AnthropicAI The two of you glossed over the whole point of #1 the design process is a problem solving framework. Not deliverables. Not time based. That think must still exist to create value. It just happens faster. And must stilll include stakeholders. The ‘Tool’ never mattered.

A guide to AI prototyping for product designers uxdesign.cc/a-guide-to-ai-…

@rcmisk No really. A waste to launch with zero users. Missed opportunity to connect with users, missed momentum, missed learnings, missed first impressions. Just cause you can build anything doesn’t mean you should build ANY thing. Plus, sounds like the launch party sucks.

not really. if it's a highly competitive landscape.. say Social Media scheduler... why do you need to research upfront if there is a proven playbook in terms of building. you have the product that already is known to be a commodity or known to get paying customers... now you need to distribute it. we can build anything. it's harder to distribute if you have less than 1k followers on X or a little audience on instagram etc. you need the playbook to market it and distribute it at scale to the right people.

You shipped the product. Nice. Now the hard part everyone ignores: Getting actual users. If you had 30 days to hit your first 100 signups with zero ad spend... Where would you start?

*The* design process is dead. Long live the *design* process.

Great article, and yes, confirmed, the MCP hype is over.

If AI designing saves time, there no excuse to release crap experiences. We have the time to get it right.