Skip to content

41 posts tagged with “design systems”

4 min read

America by Design, Again

President Trump signed an executive order creating America by Design, a national initiative to improve the usability and design of federal services, both digital and physical. The order establishes a National Design Studio inside the White House and appoints Airbnb co-founder and RISD graduate Joe Gebbia as the first Chief Design Officer. The studio’s mandate: cut duplicative design costs, standardize experiences to build trust, and raise the quality of government services. Gebbia said he aims to make the U.S. “the most beautiful, and usable, country in the digital world.”

Ironically, this follows the gutting of the US Digital Service, left like a caterpillar consumed from within by parasitic wasp larvae, when it was turned into DOGE. And as part of the cutting of thousands from the federal workforce, 18F, the pioneering digital services agency that started in 2014, was eliminated.

Ethan Marcotte, the designer who literally wrote the book on responsive design and worked at 18F, had some thoughts. He points out the announcement web page weighs in at over three megabytes. Very heavy for a government page and slow for those in the country unserved by broadband—about 26 million. On top of that, the page is full of typos and is an accessibility nightmare.

Luke Wroblewski, writing in his blog:

Across several of our companies, software development teams are now “out ahead” of design. To be more specific, collaborating with AI agents (like Augment Code) allows software developers to move from concept to working code 10x faster. This means new features become code at a fast and furious pace.

When software is coded this way, however, it (currently at least) lacks UX refinement and thoughtful integration into the structure and purpose of a product. This is the work that designers used to do upfront but now need to “clean up” afterward. It’s like the development process got flipped around. Designers used to draw up features with mockups and prototypes, then engineers would have to clean them up to ship them. Now engineers can code features so fast that designers are ones going back and cleaning them up.

This is what I’ve been secretly afraid of. That we would go back to the times when designers were called in to do cleanup. Wroblewski says:

Instead of waiting for months, you can start playing with working features and ideas within hours. This allows everyone, whether designer or engineer, an opportunity to learn what works and what doesn’t. At its core rapid iteration improves software and the build, use/test, learn, repeat loop just flipped, it didn’t go away.

Yeah, or the feature will get shipped this way and be stuck this way because startups move fast and move on.

My take is that as designers, we need to meet the moment and figure out how to build design systems and best practices into the agentic workflows our developer counterparts are using.

preview-1753725448535.png

AI Has Flipped Software Development

For years, it’s been faster to create mockups and prototypes of software than to ship it to production. As a result, software design teams could stay “ahead” of...

lukew.com iconlukew.com

Read past some of the hyperbole in this piece by Andy Budd. I do think the message is sound.

If you’re working at a fast-growth tech startup, you’re probably already feeling the pressure. Execs want more output with fewer people. Product and engineering are experimenting with AI tooling. And you’re being asked to move faster than ever — with less clarity on what the team should even own.

I will admit that I personally feel this pressure too. Albeit, not from my employer but from the chatter in our industry. I’m observing the younger companies experiment with the process, collapsing roles, and expanding responsilities.

As AI eats into the production layer, the traditional boundaries between design and engineering are starting to dissolve. Many of the tasks once owned by design will soon be handled by others — or by machines.

Time will tell when this becomes widespread. I think designers will be asked to ship more code. And PMs and engineers may ship small design tweaks.

The reality is, we’ll likely need fewer designers overall. But the ones we do need will be more specialised, more senior, and more strategically valuable than ever before.

You’ll want AI-literate, full-stack designers — people who are comfortable working across the entire product surface, from UX to code, and from interface to infrastructure. Designers who can navigate ambiguity, embrace new tooling, and confidently operate in the blurred space between design and engineering.

I don’t know if I agree with the fewer number of designers. At least not in the near-term. The more AI is embedded into app experiences, the trend—I predict—will go in the opposite direction. The term “AI as material” has been floating around for a few months, but I think its meaning will morph. AI will be the new UI, and thus we need designers to help define those experiences.

preview-1751840519842.png

Design Leadership in the Age of AI: Seize the Narrative Before It’s Too Late

Design is changing. Fast. AI is transforming the way we work — automating production, collapsing handoffs, and enabling non-designers to ship work that once required a full design team. Like it or not, we’re heading into a world where many design tasks will no longer need a designer. If that fills you with unease, you’re not alone. But here’s the key difference between teams that will thrive and those that won’t: Some design leaders are taking control of the narrative. Others are waiting to be told what’s next.

andybudd.com iconandybudd.com
Collection of iOS interface elements showcasing Liquid Glass design system including keyboards, menus, buttons, toggles, and dialogs with translucent materials on dark background.

Breaking Down Apple’s Liquid Glass: The Tech, The Hype, and The Reality

I kind of expected it: a lot more ink was spilled on Liquid Glass—particularly on social media. In case you don’t remember, Liquid Glass is the new UI for all of Apple’s platforms. It was announced Monday at WWDC 2025, their annual developers conference.

The criticism is primarily around legibility and accessibility. Secondary reasons include aesthetics and power usage to animate all the bubbles.

I’ve been very interested in finding tools to close the design-to-code gap. Martina Sartor writing in UX Planet articulates why that is so important:

After fifteen years hopping between design systems, dev stand-ups, and last-minute launch scrambles, I’m convinced design-to-dev QA is still one of the most underestimated bottlenecks in digital product work. We pour weeks into meticulous Figma files, yet the last mile between mock-up and production code keeps tripping us up.

This is an honest autopsy of why QA hurts and how teams can start healing it — today — without buying more software (though new approaches are brewing).

preview-1749534149927.png

Why Design-to-Dev QA Still Stings

(and Practical Ways to Ease the Pain)

uxplanet.org iconuxplanet.org
Abstract gradient design with flowing liquid glass elements in blue and pink colors against a gray background, showcasing Apple's new Liquid Glass design language.

Quick Notes About WWDC 2025

Apple’s annual developer conference kicked off today with a keynote that announced:

  • Unified Version 26 across all Apple platforms (iOS, iPadOS, macOS, watchOS, tvOS, visionOS)
  • “Liquid Glass” design system. A complete UI and UX overhaul, the first major redesign since iOS 7
  • Apple Intelligence. Continued small improvements, though not the deep integration promised a year ago
  • Full windowing system on iPadOS. Windows comes to iPad! Finally.

Of course, those are the very high-level highlights.

When you’re building a SaaS app, I believe it’s important to understand the building blocks, or objects, in your app. What are they? How do they relate to each other? Should those relationships be peer-to-peer or parent-child? Early in my tenure at BuildOps, I mentioned this way of thinking to one of my designers and they pointed me to Object-Oriented UX (OOUX), a methodology pioneered by Sophia Prater.

Mateusz Litarowicz writes:

Object-Oriented UX is a way of thinking about design, introduced and popularized by Sophia Prater. It assumes that instead of starting with specific screens or user flows, we begin by identifying the objects that should exist in the system, their attributes, the relationships between them, and the actions users can take on those objects. Only after this stage do we move on to designing user flows and wireframes.

To be honest, I’d long thought this way, ever since my days at Razorfish when our UX director Marisa Gallagher talked about how every website is built around a core unit, or object. At the time, she used Netflix as an example—it’s centered around the movie. CRMs, CMSes, LMSes, etc. are all object-based.

Anyway, I think Litarowicz writes a great primer for OOUX. The other—and frankly more important, IMHO—advantage to thinking this way, especially for a web app, is because your developers think this way too.

preview-1749443340299.heic

Introduction to Object-Oriented UX

How Object-Oriented UX can help you design complex systems

fundament.design iconfundament.design

Related to my earlier post today about Arc’s novelty tax, here’s an essay by DOC, a tribute to consistency.

Leveraging known, established UX patterns and sticking to them prevent users from having to learn net-new interactions and build net-new mental models every time they engage with a new product.

But, as Josh Miller wrote in the aforementioned post, “New interfaces start from familiar ones.” DOC’s essay uses jazz as a metaphor:

Consistency is about making room for differentiation. Think about a jazz session: the band starts from a known scale, rhythm. One musician breaks through, improvising on top of that pattern for a few minutes before joining the band again. The band, the audience, everyone knows what is happening, when it starts and when it ends, because the foundation of it all is a consistent melody.

Geometric pattern of stacked rectangular blocks forming a diagonal structure against a dark sky. Artwork by Maya Lin.

Consistency

On compounding patterns and the art of divergence.

doc.cc icondoc.cc
Illustration of humanoid robots working at computer terminals in a futuristic control center, with floating digital screens and globes surrounding them in a virtual space.

Prompt. Generate. Deploy. The New Product Design Workflow

Product design is going to change profoundly within the next 24 months. If the AI 2027 report is any indication, the capabilities of the foundational models will grow exponentially, and with them—I believe—will the abilities of design tools.

A graph comparing AI Foundational Model Capabilities (orange line) versus AI Design Tools Capabilities (blue line) from 2026 to 2028. The orange line shows exponential growth through stages including Superhuman Coder, Superhuman AI Researcher, Superhuman Remote Worker, Superintelligent AI Researcher, and Artificial Superintelligence. The blue line shows more gradual growth through AI Designer using design systems, AI Design Agent, and Integration & Deployment Agents.

The AI foundational model capabilities will grow exponentially and AI-enabled design tools will benefit from the algorithmic advances. Sources: AI 2027 scenario & Roger Wong

The TL;DR of the report is this: companies like OpenAI have more advanced AI agent models that are building the next-generation models. Once those are built, the previous generation is tested for safety and released to the public. And the cycle continues. Currently, and for the next year or two, these companies are focusing their advanced models on creating superhuman coders. This compounds and will result in artificial general intelligence, or AGI, within the next five years. 

Such a gorgeous visual essay from Amelia Wattenberger. Beyond being wonderful to look at, the content is just as thought-provoking. Her experiment towards the middle of the piece is interesting. In our world of flat design and design systems, Amelia is truly innovating.

People made of yarn working on room-sized computers

Our interfaces have lost their senses

With increasing amounts of AI chatbots, we’re losing even more: texture, color, shape. Instead of interactive controls, we have a text input. Want to edit an image? Type a command. Adjust a setting? Type into a text box. Learn something? Read another block of text.

wattenberger.com iconwattenberger.com