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🔥 Design Systems Resources A collection of design system resources curated by @rominadesigner 👍 🔧 Tools 🔌 Plugins ⚙️ Design systems 📚 Libraries 🎙 Podcasts ▶️ Videos 📗 Books 🗣 Conferences Link below 👇 #designsystems #design #uxui #uxdesign #ux

40,078 просмотров • 3 лет назад •via X (Twitter)

Комментарии: 8

Фото профиля Dr Shad Katuu 🌐
Dr Shad Katuu 🌐5 лет назад

The Utility of Enterprise Architecture to Records and Archives Specialists #Archivist #BusinessAnalysis #EnterpriseArchitecture #InformationTechnology #TOGAF #RecordsProfessionals

Фото профиля Heru Hermawan
Heru Hermawan3 лет назад

Love this ❤️. Thanks for sharing, Adham!

Фото профиля Adham Dannaway
Adham Dannaway3 лет назад

Happy to share Heru 🙂

Фото профиля Sadath
Sadath3 лет назад

@rominadesigner Love this 👌

Фото профиля Adham Dannaway
Adham Dannaway3 лет назад

@rominadesigner Such a great resource 👍

Фото профиля frankungerer
frankungerer3 лет назад

@rominadesigner @savetonotion #tweet #designsystem

Фото профиля Adham Dannaway
Adham Dannaway3 лет назад

@creator_yudai @rominadesigner Lots of fun too 👍

Фото профиля Adham Dannaway
Adham Dannaway1 год назад

❖ Design Systems Database Collection of top design systems sorted by components and foundational styles. Handy resource for component research 💯 Check it out 👇

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Anthropic released Claude Design TODAY and it's now accessible at I spent the last hour giving it a first look, and shared my thoughts and results in the video below. This is a BIG drop. This is a new design surface from Anthropic, and it changes what "AI design" means. Short version: Claude can now design. Not "describe a design." Not "generate an image of a design." Actual production work — prototypes, wireframes, high-fidelity mocks, slide decks, landing pages — editable, on-brand, and ready to hand off. Here's what stood out on first look: → Real design surfaces Prototypes, wireframes, hi-fi, and slide decks — each with templates and proper structure, not just pretty screenshots. → Comment-based edits Leave a comment on any element and Claude revises it. This is the Figma-style review loop, with the designer replaced by a model that works at 3am. → Brand design systems You can feed it your system — colors, type, components — and it actually respects it. On-brand output, not generic AI slop. → Export anywhere PDF, PowerPoint, Canva, standalone HTML. Plus a built-in handoff straight to Claude Code for engineers to implement. → Import from real tools Figma, GitHub, and captured web elements come in as inputs. Your existing work is the starting line, not the discard pile. → Collaboration Share links for view / comment / edit — the exact tier system teams already expect. What I tested on Opus 4.7: • A 5-slide deck generated from a single screenshot. Claude asked clarifying questions BEFORE generating and shipped speaker notes by default. • A landing page build. Solid first pass, real components, real layout logic. • Multiple chats running concurrently. You can parallelize design work across threads like a small team. Why this matters: PMs, founders, marketers, and non-engineers can now create designs that engineers can actually ship with production-ready output and a claude code handoff built in. The gap between "I have an idea" and "here's a working prototype with my brand applied" just collapsed to minutes. Full walkthrough, live demos, exports, and honest takes on where it breaks below. P.S. • This is an Anthropic Labs product — NOT GA yet. • Claude Design is currently webapp only (no API), and does not yet support the Analytics API, Compliance API, or cost/usage reporting. • Availability: – Default ON for Pro / Max / Team – Default OFF for Enterprise Enterprise admins can toggle it on via RBAC in console (comes with a ~$20/user initial credit).

JJ Englert

32,445 просмотров • 4 месяцев назад

CSS variables are live and they are POWERFUL. Now Live on Product Hunt 🚀 ➡️ Create a design system "So you can stay consistent and build much quicker." Define global styles like colors, gradients, sizes, and box shadows. ➡️ Use your variables everywhere "So you never have to manually enter a border color again." You're not limited to just sizes, colors, and font families. Use variables in gradients, box shadows, transforms, and more! ➡️ Start with libraries like Open Props, expertly crafted CSS variables "So you can use a tried and true system, and so we can standardize our Projects." Because there are no abstractions, you can use existing CSS variable libraries like Open Props, an expertly crafted library of CSS variables, and the recommended starting point in Webstudio. ➡️ Create complex micro-interactions "So when you hover a link, you can change any children's styles." CSS variables go beyond reusability! You can define variables anywhere in the navigator, such as on a link, and modify the variables on hover. Then, you can use those variables on the children to create complex micro-interactions! ➡️ Design and build simultaneously "So when deciding that perfect border color, you can arrow through all your options." Experimenting on the canvas just got a whole lot better. Now, you can arrow through your variables and see them rendered on the canvas to see which works best. ➡️ Change variable by breakpoint "So you can make the variables look great, no matter the screen size." CSS variables in Webstudio use the same UI as the rest of your styles, enabling breakpoints to work the same way. ✨ Building with design systems gives a HUGE boost in speed, consistency, and maintainability.

Webstudio

15,497 просмотров • 1 год назад

Anthropic just changed how they think about Claude 5. Not with a new model. Not with a benchmark. With a completely different philosophy for building AI systems. Most people will miss it. They're still trying to write better prompts. Anthropic is optimizing something else entirely: Context. Here's what every AI builder should learn from it: 1. Stop telling AI exactly what to do. Start telling it what success looks like. Older models needed rigid instructions. Newer models perform better when you define the objective and let them make the decisions. The goal is no longer more control. It's more clarity. 2. Context is a budget, not a storage unit. Every extra sentence competes for the model's attention. A massive context file doesn't make AI smarter. It often makes reasoning worse. The best systems don't load everything. They load only what's relevant. 3. Great tools beat great prompts. Most people spend hours tweaking prompt wording. Anthropic is investing in better interfaces instead. Clear parameters. Structured inputs. Well-designed tools. If the interface removes ambiguity, the model makes better decisions before it even starts reasoning. 4. Show reality instead of describing it. Want a specific coding style? Provide the codebase. Want a certain design language? Share the mockup. Want consistent outputs? Give it tests to satisfy. Concrete references consistently outperform long written instructions. 5. Deliver information when it's needed. Not everything belongs in the initial context. Documentation. Style guides. Verification. Reviews. Load them only when they're relevant. Think of context like RAM, not a hard drive. 6. The real advantage is system design. Prompt engineering isn't disappearing. It's becoming one small part of a much bigger stack. Memory. Retrieval. Context architecture. Tool design. Evaluation. Every improvement compounds. The biggest takeaway from Anthropic's update? The next generation of AI won't be won by the people writing the longest prompts. It'll be won by the people building the smartest systems. Same models. Completely different results.

Evan Luthra

38,751 просмотров • 23 дней назад

Vision is an absolute marvel of Divine Engineering. It requires a minimum of 3 systems working together from the start, or we don't see. 1. Eyes to capture light & convert into signals 2. Pathways to transport the signal 3. A brain to process it Evolution can't build it one step at a time, because there is no vision until all those systems exist and function together. Compounding the complexity further, each of those 3 systems themselves require a minimum number of more complex subsystems to function properly. For instance, all eyes require opsin proteins. Opsin is a highly complex protein that holds a special light-sensitive molecule called retinal; when a single photon hits the retinal, it instantly flips shape, triggering the opsin to change its 3D shape and trigger a precise cascade which converts the light into an electrical signal to be sent to the brain where it can be understood as vision. Opsin alone, is useless. It needs the retinal molecule plus the full cascade, or it does nothing. This is the case with ALL vision systems, confirmed over and over again the lab. No partially formed system produces any vision, or any other function for that matter. Many uninformed Evolutionists attempt to argue that we see different levels of complexity in vision systems, which they say is evidence that vision evolved gradually from simpler systems. But the evolutionary scientists themselves refute this. Even the very simplest possible system of vision - the infamous "light sensitive cell" - still relies on a similar highly complex, interconnected network of proteins and other molecules. Mainstream evolutionary science even teaches that vision systems evolved independently, from scratch, at least 40 different times. The reason is because many vision systems are so different, operating with such unique parts, that one simply could not have evolved from another. The fossil record itself refutes the concept of step by step construction of vision systems. Complex eyes appear early in the fossil record, fully formed & functional. There is no increasing complexity in the fossil record - it's a complete contradiction of evolutionary predictions. The vision system has all the Hallmark evidence of design. A complex, interconnected web of information processing systems with incomprehensibly precise timing & coordination between them all to produce a highly specialized function. Nature does not, and cannot, produce such a system, not with all the time and resources in the entire universe. Everything you see is a testament to the Power of our Creator.

Divinely Designed

20,317 просмотров • 3 месяцев назад

Agents have reached hardware. We are launching Flow v3, the Agentic Platform for Physical Engineering. We've spent over a year building it in secret, alongside the best hardware companies and AI research labs. An agent can now do real engineering work: change a requirement, push the update into your CAD and simulation tools, and flag every test that needs to rerun. Iterations/learning cycles that took months are being reduced to days. Agents are the biggest shift in how we engineer hardware since CAD. The core innovation for the CAD era was the parametric model. The core innovation for the Agentic Era is Flow's Systems Graph. The systems graph is a living model of every requirement, design model, test, analysis and every connection between them. It gives every agent the full context of the system, so every change stays consistent across the whole design. Engineers and agents work side by side on the same system. Engineers get to focus on architecture - the decisions that matter -while thousands of agents churn through rewriting reports, rerunning analysis and simulation, and triggering tests. Reusable rockets, self-driving cars, small modular reactors, robots that make decisions, the most complex machines ever built, are defined by millions of interconnected requirements, far beyond what any human team can keep aligned on its own. Rivian, Joby, Astranis, Skydio, Radiant, and the most ambitious hardware programs already build on Flow. More on the launch in the comments. Flow Engineering

Pari Singh

39,339 просмотров • 2 месяцев назад

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Dr. Edward Group, DC

22,091 просмотров • 5 месяцев назад