Tweets

“What needs to exist, why, and how”

“The role of someone who figures out what needs to exist, why, how it should work, how it should be positioned, differentiated and made memorable has never been more in demand.” Josh Puckett (also the maker of Pica included below) separates the deliverable from the practice: he agrees the mockup-maker role is going away, but argues the ​“what should this be and why?” role is more in demand than ever.

Design: The First AI Casualty

“I’m increasingly sure that 2026 signals the end of product design as a full-fledged stand-alone function within companies.” Gokul Rajaram makes the controversial maximalist case: startups will outsource design systems to consultants, AI will generate the UI, and design headcount will shrink to 20% of its current size at larger companies.

It’s an argument that reduces design to UI mockup production, which is where most of the responses below push back. The reactions to Claude Design launch in the previous issue have already discussed confusion in terminology, the difference between design practice vs. design production, and made the case that ​“real design is the search for fit between form and context, not the generation of form itself.”

Test Make prototypes on mobile

Makes now run natively on the Figma mobile app for on-device testing and touch interaction previews. Mobile creation and editing is coming soon.

Your workflow is now faster

Figma ships a meaningful performance update across the board: 10x faster vector editing, 4x smoother Make frame rates, faster load times, 92% fewer memory warnings. Just the memory side of this update was six months in the making!

Swap Instance vs. Slots

Hugo Raymond breaks down Swap Instance vs. Slots as two ends of a control–composability spectrum: Swap Instance hard-locks a single nested component in a fixed position, while Slots act like open containers that accept almost anything and can be freely rearranged. For design system teams, his key point is that the ​“right” choice isn’t about which feature is more powerful, but about how much you trust consumers of your components and whether you fear incorrect composition more than full detachment from the library.

Comparing Claude Design to Diffui

Jacob Miller left the PM role at Figma to build Diffui, a new way to approach the design to dev process with AI. In this thread, he compares designs generated by his tool and Claude Design. One is more expressive and diverse, another is more polished and organized. The point is not that one is better than another, but how can we combine different approaches and tools to get to the most interesting result.

Design for pre-PMF products

Paul Stamatiou with the first impression most experienced designers will relate to: Claude Design didn’t land on first try, but the trajectory outlined by Sam Henri Gold is unmistakable. Lately, I’ve been working in pretty much the same way: ​“So much of my iteration happens directly in the code, Figma is where the direction gets sorted out, then it gets a million iterations and refinements in code. The last thing a designer on a team moving at hyperspeed wants to do is backport designs in code back to Figma to maintain a single source of truth.”

Yes, and

Ben Blumenrose offers a useful counterpoint to the critical takes: ​“What if it’s not a Claude Design vs. Canva vs. Figma vs. xxx but a ​‘yes and’ as millions more people are exposed to design and use this accessible tool to begin a journey into being better at type, color, composition, effective communication, building great experiences, etc?”

A confusion in terminology

Soleio (designer, angel investor) draws a three-way taxonomy to cut through the noise: production design gets automated on economic grounds; strategic design expands its medium set to include live production experiments iterated by agents; and exploratory design actually grows in importance because humans and machines together can traverse a far larger combinatorial space of novel forms. The real competitive edge, he argues, shifts to ​“problem-finders” who build new systems for channeling desire: ​“The inputs and systems we create to find opportunities will reward the most intrepid problem-finders. Design stops being a method of sitting and ruminating on possible forms or solution spaces. Design becomes active, research-based, and built around speed of discovery and expression.”

Output isn’t design

Karri Saarinen, CEO of Linear, makes a similar point that AI design tools conflate producing interfaces with designing them, leaning on Christopher Alexander’s ​“Notes on the Synthesis of Form” to make the case that real design is the search for fit between form and context, not the generation of form itself. He points to a visible symptom: AI-assisted products that look polished but unravel under use, full of decisions that were never genuinely worked through.

Design vs. design production tool

Rasmus Andersson, creator of Inter and former principal designer at Figma, draws the sharpest distinction in the launch coverage: ​“This is really neat but it’s not a design tool as much as it’s a design production tool. The practice of design is mostly about what comes before production.”

Color-agnostic state overlays vs. per-intent state tokens

David Hill explores implementation options for a color system, and Matt Sellers, design lead at Lovable and Reshaped, shares the color token architecture he chose for Lovable’s upcoming design system. The core decision: color-agnostic state overlays (a small set of OKLCH alpha composites) vs. per-intent state tokens (one hover/​pressed value per color × per state × per variant). His case for Option 1 is architectural — the state layer and color layer stay independent, so adding a new intent color requires zero new state tokens. The thread goes deep on OKLCH derivation engines, pseudo-element stacking, and the Figma implementation tradeoffs.

Cameron Moll on Lenny’s findings

Cameron Moll weighs in on Lenny’s data: ​“Designers are the least positioned to ship and AI has only magnified the importance of shipping. PM drives delivery (shipping) and Eng owns the act of shipping, so we’re no longer fighting for a seat at the table but instead at the shipping dock.”

Design culture is broken

“I’ll say the thing no one is saying: design culture is broken in lots of companies.” Claire Vo, a product leader, connecting the job market stagnation to something that preceded AI.

Wake up, designers

Soleio on the uncomfortable pattern in Lenny’s data: other functions are accelerating through the AI transition, and design is not. ​“Don’t take refuge in craft and taste. All members of technical staff must demonstrate newfound productivity. If that’s a topic you’ve avoided because it involves shipping or knowing your business model inside-out, you will struggle to make the case for your own field.”

Unifora

Yep! Type Foundry introduces Unifora, a uniwidth variable sans-serif superfamily. If you aren’t familiar with uniwidth typefaces, it’s worth checking out details of this project. Two years dedicated to a single constraint: every weight, every width, every slant — same character widths. This solves a real problem for interface designers: text that doesn’t reflow when you switch from regular to bold.

How to choose fonts for dense developer tool UIs

Font choices for dense developer tool UIs require different thinking than consumer UI. Anton Lovchikov covers what actually matters — having both sans and mono fonts in the same family, vertical metrics, text rendering, variability — in an article worth saving if you work on data-heavy or developer-facing products.

Portfolio audit skill

Stefan went through every Dive Club episode and pulled out everything about portfolios, hiring, and what makes candidates stand out, then distilled it into a skill that audits any product design portfolio.

Meet your 2026 Makeathon winners

Annual reminder that the Makeathon is the best showcase for how far Figma Make can be pushed.

Inline search for library colors

You can now type directly in the hex code input to access your color variables and styles. Lots of smart details: enter a hex value and see all variables and styles using it, colors are surfaced based on the context, and related terms are baked into the new algorithm (i.e., finding your ​“danger” variable when searching for ​“error”).

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