Lucas Lorenzo 👁‍🗨

"If you want to make a living flower, you don't build it physically, with tweezers, cell by cell. You grow it from the seed." Christopher Alexander in The Timeless Way of Building

Design isn't in pixels, it's about intention. Claude Design and the changing landscape of UX/UI are confirming this. Design has always been a meta-skill. Some people apply this to graphics, and others to web components. The commodity of the design artifact is just a mirror that invites us to ask "Why?" more regularly.

swe in 2026

@Aurelien_Gz @basit_designs This is epic

this is how you craft a high end ui.. pure magic wizard » @basit_designs

What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sources that might consume it. - Herbert A. Simon

“How to drive a car?” compared to “What is love”. It doesn’t matter how big of a calculator we have somethings shouldn’t become numbers.

We should be more discerning about what’s fuzzy and what isn’t—about what to turn into numbers and what not to.

The pitfall of AI is just the symptom of turning something abstract, which we are all aware of and accept, into numbers. The magic of AI is our ability to take something that isn’t fuzzy, turn it into numbers, and do calculations on those numbers.

Every tool you choose is a worldview you inhabit. Not a preference. A frame on perception. The question is never which tool is most efficient. It's what the tool makes you unable to see.

@heyalexhey That’s it

@digitalfaust_ Exactly right. It's an implementation gap, not a technology gap. The companies winning with AI have built internal habits and workflows around it. The ones not winning just have subscriptions.

The AI advantage is not the model. The top-spenders of AI spenders have more than doubled revenue since 2023. Bottom quartile stayed flat. Same tools, roughly. Different outcomes. What explains the gap is not access or budget. It is the learning curve.

The feedback loop before the workflow. Starting before you feel ready is not carelessness, it's strategy.

The people ahead did not start with better models. They started earlier. Every interaction built a slightly better mental model. Every correction compounded. The loop got tighter. That is an engineerable condition. Not a talent. A practice. Literacy before tooling.

@guiseiz I want to see what you’re working on

In the world of AI - plugins in Figma are so overpowered. I must be making 3-4 a week

@guiseiz Prove it 😉

AI done the wrong way is a behavior patch. AI done the right way is an OS driver.

Because the people who win with AI won’t be the ones who know the buttons. They’ll be the ones who understand how to shape systems with it. Most “AI literacy” today is training users. The future belongs to those who design the system. That gap is where the real education needs to happen.

It's not compliance, prompts, interfaces, “how to use ChatGPT.” It's building mental models and systems thinking that can be borrowed across products. That gap matters.

Last Friday was National AI Literacy Day! But, I am bummed to see a growing focus on tools. Literacy is about ways of thinking.

What work has been possible now that the lie is gone?

The design engineer didn't emerge from a new skill set but emerged from the collapse of a useful lie. I guess, now that I'm over a decade into my career (4 years after being given a similar senior title at Amazon), I've been asking myself:

On interdisciplinary thinking 🦄