Allard

@devops_nk @kentcdodds I would argue a different space car covers out each time. The first one has a ticket launcher, the second one a pool, and the third is a motorcycle.

Honestly, this is the most accurate diagram I've seen. Waterfall: You plan for 18 months and deliver exactly what nobody needs anymore. Agile: You deliver something usable at every step, but the CEO keeps asking, "Where's the car?" AI: You get the car on day one. It has six wheels, the doors are on backwards, and it has a rocket launcher. You spend more time making it yours than actually "building"; it's shaping. owning. verifying. That's what the best AI developers do now. They don't build. They shape and own.

Introducing Radiant: 80+ production-ready shaders and visual effects for the web. 0 dependencies, MIT license. - multiple color themes - ultra-realistic simulations - webgl and 2d canvas Pick one, copy source, integrate, ship. radiant-shaders.com

Why is vibe designing not a real thing yet?

Join me next week in London @ForumEventsLtd 🇬🇧 I will be sharing from my real Google Search experience & presenting SEO case studies. Including an extended, live Q&A at the end of the presentation. I look forward to your questions 🙂 ecommerce-forum.co.uk #hearmespeak

An old friend of mine has composed his first classical album and is going to record it together with other musicians. Have a listen! Elaia stichtingogygia.nl/elaia

Sorry, not sorry.

Just got access to @figma Make. Not quite sure what to make of it yet. ... 🥁

And this... is just clickbait. fastcompany.com/91350746/shopi…

This seems like business semantics to me. I understand swapping UX for Product, but I don't see how dropping any and all classification makes things easier. Either way, the work remains the work.

We just dropped UX as a title at @Shopify. Same for Content Design. If you design, you're a Designer. If you write, you're now a Writer. Simpler. Better. (1/3)

Honestly, these are all genius.

works every time

An attempt to explain (current) ChatGPT versions. I still run into many, many people who don't know that: - o3 is the obvious best thing for important/hard things. It is a reasoning model that is much stronger than 4o and if you are using ChatGPT professionally and not using o3 you're ngmi. - 4o is different from o4. Yes I know lol. 4o is a good "daily driver" for many easy-medium questions. o4 is only available as mini for now, and is not as good as o3, and I'm not super sure why it's out right now. Example basic "router" in my own personal use: - Any simple query (e.g. "what foods are high in fiber"?) => 4o (about ~40% of my use) - Any hard/important enough query where I am willing to wait a bit (e.g. "help me understand this tax thing...") => o3 (about ~40% of my use) - I am vibe coding (e.g. "change this code so that...") => 4.1 (about ~10% of my use) - I want to deeply understand one topic - I want GPT to go off for 10 minutes, look at many, many links and summarize a topic for me. (e.g. "help me understand the rise and fall of Luminar"). => Deep Research (about ~10% of my use). Note that Deep Research is not a model version to be picked from the model picker (!!!), it is a toggle inside the Tools. Under the hood it is based on o3, but I believe is not fully equivalent of just asking o3 the same query, but I am not sure. All of this is only within the ChatGPT universe of models. In practice my use is more complicated because I like to bounce between all of ChatGPT, Claude, Gemini, Grok and Perplexity depending on the task and out of research interest.

I don't understand what just happened.

CSSychedelics...! No? Is that a dad joke, too far? nerdy.dev/css-kaleidosco…

@danieldelcore And how did you get 'not stressed'? 🙂

The world looks different when you're not stressed 😌

@ZoldenGames @charliegreenman Genuinely, that was my first thought. :)

@charliegreenman I heard this is what reality already is, while the worm hallucinates human life that we think we live.

Imagine, you're a worm with laser and jet engine, who need to get out of a cave. What would you do in such situation?

Zooming into an iPhone CPU die (5nm) ⁽ᵛᶦᵈᵉᵒ ᵉᵈᶦᵗᵉᵈ ᶠᵒʳ ᵉᵈᵘᶜᵃᵗᶦᵒⁿᵃˡ ᵖᵘʳᵖᵒˢᵉˢ⁾ x.com/scotti_brooks/…

Introducing the registry mcp. One command to make any component registry mcp-compatible. Your Design System. Now with AI. Zero config. We've got a lot to cover. Let's get started. ⬇️

We had @henrymodis to chat with our design team yesterday about AI design. Simple and interesting to for me was that at Perplexity they start projects by exploring LLM capabilities with very simple prototypes, even with just a command-line implementations. Only once there’s proof that the idea can work consistently, and that they can bend it to do what they want, do they start designing the experience. This flips traditional design best practices. Normally, you start with design to explore possibilities, and the tech follows. But in this domain, or this new era of software, LLM/AI is the tool for exploration, and design comes after. History rhymes here. It’s kind of like the early days of software, where you built first and then designed, because you had to figure first out the capabilities or push the tech to create the first web email or GUI. Design was moot if the tech wasn't feasible. This is also why people may struggle with AI design they try to approach it purely from a design perspective using pure design tools.