Pica is a native macOS font manager from Josh Puckett, built for designers who want proper font organization. ​“Organize into collections, test color themes and logos, watch folders, manage what’s installed, and much more.”

“The first casualty won’t be design. It’s the deliverable.” Tommy Geoco backs it with numbers: a recent State of Prototyping survey of 1,478 design engineers finds 80.9% spending most of their week vibe coding, and 59% having shipped their own internal tool in the last six months. ​“The design function isn’t being eliminated. It’s absorbing engineering.”

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.

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.

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.”

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.

Dylan Field in an interview with Peter Yang argues that AI will massively expand what’s possible in design, but the enduring edge for humans is judgment: taste, craft, and point of view, plus the ability to use AI as an iterative partner rather than a one-shot generator.

A thorough, practical guide from Christine Vallaure on what design systems need to work well with agents. Five things most systems are missing: semantic tokens, full state coverage, slot-based composition, exact Figma-to-code property matching, and token-based auto layout. Pairs well with the Brad Frost video — both cover the same design system moment from different angles.

Christine Vallaure built a five-person AI editorial team from one text file and seven lines. Five named agents: Rachel brings reader feedback, Joan brings numbers, Caitlin flags voice problems, Miranda raises buyer concerns, and Elke runs the room as editor in chief. Technically one model shifting between personas inside a single Claude conversation, but behaviorally a team critique. The most concrete personal account I’ve read of what agentic AI actually feels like to operate as a solo creator.

Figma Community now includes Apps, a new category that connects Figma to external tools, including AI systems and third-party products. Find them in Extensions alongside plugins and widgets.

Luis on what the ​“shadcn-ification” debate is actually about — not the visual uniformity, but the organizational misread: ​“The mistake isn’t in the ingredient. It’s in thinking that having access to good ingredients is the same as knowing how to cook.”

Stakeholders are concluding that the design system infrastructure is done because a great foundation exists. The teams that have spent years practicing design systems understand exactly why that conclusion is dangerous.

Luis Ouriach argues that modern design systems have become the centerpiece of software development in an AI-first world, shifting from a siloed support function to the primary mechanism that tells LLM-based tools what to build, and therefore directly shaping code quality, speed, and brand differentiation.

Jenny Wen, who brought FigJam from concept to launch at Figma and is now design lead at Anthropic, talks at the Double Diamond podcast about designing Claude itself. The key difference from traditional software: ​“When you are designing now with these LLMs, you basically can’t map out all those flows. You basically just have these core primitives and these specific states that you want the model to get to, but the possibilities in which the user can actually interact with the model are just basically endless.”

Ridd interviews Kris Puckett, design manager at Stripe and formerly design lead at Mercury and Dropbox, on becoming an AI-native designer by using tools like Claude Code, OpenClaw, and personal AI to ship his own apps, supercharge his design practice, and build highly personal systems for life and work. I’m deeply curious about the last part and can’t wait to dig into his course Neuma on building a personal AI system.

Ridd walks through a workflow where Paper acts as a visual canvas that Claude can ​“proactively” explore and prototype in. The interesting bit is his framing of Claude Code as a coworker and Paper as a shared whiteboard. That’s exactly what I wanted when last week I commented on missing agents in Figma after spending more time in Cursor.

Jenny Wen leads design for Claude at Anthropic, and in the past, she was Director of Design at Figma, where she led the teams behind FigJam and Slides. At Lenny’s podcast, she lays out how AI is collapsing the classic ​“research → mock → iterate” workflow into two main jobs for designers: supporting rapid implementation alongside engineers, and setting shorter 3–6 month product visions that keep a swarm of agents and builders pointed in a coherent direction. Jenny describes the day-to-day at Anthropic as equal parts surfing internal prototypes, pairing with engineers, and doing last-mile implementation herself. She still sees Figma as critical for exploring many directions and fine visual decisions, but treats Claude as her primary stack for long-running tasks and front-end polish.

Mallory breaks down how brand designers can use variables to scale brand expression in Figma. Learn what variables are, how they differ from styles, and how they support real brand use cases — from multi-brand systems to scalable templates.

Pablo Stanley: ​“I’m a designer. For years, my world has been Figma, Sketch, Adobe. Nice GUIs with buttons and panels and things I could click. The terminal? That was a black rectangle where the dev team did hacker things. No buttons. No UI. Just a blinking cursor judging you for not knowing what ls ‑la meant. And now? My design tool of choice is the terminal.”

Greg Huntoon: ​“Every prompt needs clarity, context, and constraints. I’ve been building my own prompt framework, and this TC-EBC structure — Task, Context, Elements, Behavior, Constraints — has served me well. This kind of structure doesn’t just help you get better results — it’s aligned with what prompt engineers and system designers are converging on across disciplines.”

Dylan interviewed post earnings on TBPN: ​“We discuss Figma’s growth, the rise of Figma Make, the shift from linear coding to a visual-first product loop, why taste becomes the real moat in an agent-driven world, and why design is the ultimate differentiator in 2026.”