Articles

Rogie King introduces Vectorize, a new AI-powered action in Figma Design and Draw that converts any raster image into fully editable vectors in one click. This feature finally removes the need to use 3rd-party plugins or to redraw assets, while still letting you tweak paths, use color variables, and turn ​“messy” starting points into reusable components.

Meng To shares a concrete end-to-end workflow where OpenClaw runs as a local ​“agency layer” that talks to files, shell, browser, and Telegram, while Codex acts as the focused coding specialist for real repos and multi-task queues. He replaced tools like Notion, Midjourney, Cursor, and v0 with local Markdown files, Nano Banana Pro API, and four specialized Telegram bots to compress a 3‑month and 5–10 person product cycle into about a week while working solo. This setup is powerful but requires non-trivial security setup, careful prompt and reference management, and still leans heavily on code review and system hygiene rather than ​“hands‑off” autonomy.

Brett argues that while Twitter is full of advice to ​“get out of Figma” and learn AI tools, the people actually making money right now are visual designers who doubled down on craft, speed, and positioning rather than trying to vibe‑code products. He frames the explosion of AI and no‑code tools as a demand driver: when thousands of functional products ship every day, the only durable differentiator becomes craft. ​“In a world where everyone can build, the people who can make it beautiful will be the most valuable people in the room.”

Tom Johnson outlines a nine-step AI-heavy design workflow where he starts with messy voice transcripts, uses Claude and tools like Willow, Notion, or Granola to structure the problem, then lets AI generate a deliberately bad but functional app as a scaffold. This matters because it reframes AI’s weakness at UX as a feature: a cheap way to explore directions, expose edge cases, and pressure-test scope before committing to real craft in Figma and a proper engineering handoff.

The AI team of Gather is joining Figma: ​“Second, our AI team is joining Figma. Over the past year, several team members have been exploring new ideas to make work more pleasant and productive, especially for people designing and building software. As we developed these concepts, we had the opportunity to meet the Figma team, and discovered a remarkable alignment in vision and values. We’re thrilled to announce that this group has entered an agreement to join Figma, where they’ll continue pursuing this important work.”

A thoughtful visual essay by Terry Godier on UI patterns migrating from email clients into RSS readers and other apps for consuming content and creating ​“phantom obligation” in the process — guilt about media and tasks no one is actually waiting on you to complete. It matters if you design products or manage your own attention, because unread counts and backlogs manufacture a sense of debt rather than reflect real commitments.

Once your design system is in Figma Make, you can really reap the benefits of working with design and code side by side and start actually using your system. This article walks through the specific technical problems of pulling a design system out of a monorepo to make it accessible in Figma Make.

With the Figma MCP app in Claude, designers, developers, and product managers can now create AI-generated FigJam diagrams.

Ridd shares his mental model for deciding which tools to reach for when coding with AI. Also available as a Dive Club video.

Jakub Krehel shows how he uses AI every day as a design engineer. My process is very similar, but I still picked up a few things!

Nikolas Klein, PM at Figma: ​“Today, we’re introducing the ability to embed Figma Make prototypes into Figma Design, FigJam, and Figma Slides, along with new editing tools that help you build and share your best ideas.”

Joey Banks shares a simple way to get started with variables structure when he is not sure where to begin: ​“One very simple approach that’s worked well for me is separating variables into non-interactive and interactive buckets. […] Non-interactive variables describe the environment. Things like background surfaces, text, icons, and borders that don’t change based on input. Interactive variables describe behavior, such as actions, states, and feedback that do respond to input.”

A collection of essays by Raphael Salaja on interaction design and animations.

Marcin Wichary, Design Architect at Figma, started a microblog about software craft and quality. His writing is always wonderful and insightful — instant subscribe.

Stephen Haney is interviewed about the origin story and tech stack behind Paper, one of the most interesting design tools of a new wave. ​“Paper is a browser-based design tool focused on the early, exploratory phase of design. It gives designers a fast, expressive canvas to think visually, experiment freely, and play with things like shaders, gradients, and motion without worrying about handoff or engineering constraints.”

Google’s Gemini team walks through how they use gradients, circles, and motion as a cohesive illustration system to make an unpredictable AI assistant feel legible, calm, and trustworthy. It’s interesting for anyone designing ​“thinking states” or multimodal assistants, because it shows specific visual strategies — directional gradients as energy flow, morphing shapes for cognition, motion tied to user gestures — instead of yet another generic ​“AI glow.”

“When a system is hard to approach, the design must be soft. This softness — conveyed through guided, pulsing gradient shapes, clear language, and transparent signaling — allows users to engage with the new system feeling secure and supported. The gradient can be many things through its animations: aspirational and uplifting, directional and instructional. But they remain soft and direct, and always looking forward; they’re deeply connected to the Google brand with room to grow, like the personified gradient, rippling and responding to voice.”

A new monthly publication for designers: ​“We’re witnessing the birth of a new kind of designer: The AI Designer. Designers who work in evals, prompts, and tool calls. Designers who have as much of a taste for models as they do for fonts. Designers who think in mental models, agents, and intelligence. There’s no textbook for this kind of design (and things change so fast, it wouldn’t make sense to write one). Instead, we need a field guide. A living record of our learnings, tips, tricks, fears, dreams, curiosities, and hot takes.”

The first article — The Rise of the Model Designer — interviews Barron Webster, AI Model Designer at Figma. If you’re curious what that role even means, read on.

“Starting today, the Figma for Jira app supports webhooks, so teams can get instant design status updates like ​“Ready for Dev” directly in Jira tickets, with no admin setup required. Webhook support is enabled for newly linked design files, and we’re rolling it out to existing links soon.”

I’m not into the ​“best of” collections, but Helena Zhang made some truly special and thoughtful picks. Love seeing the new icons for my local Philadelphia Art Museum made it into the list!

Nikita Prokopov published a fantastic, well-researched essay about the state of menu icons in macOS Tahoe: ​“In my opinion, Apple took on an impossible task: to add an icon to every menu item. There are just not enough good metaphors to do something like that. But even if there were, the premise itself is questionable: if everything has an icon, it doesn’t mean users will find what they are looking for faster. And even if the premise was solid, I still wish I could say: they did the best they could, given the goal. But that’s not true either: they did a poor job consistently applying the metaphors and designing the icons themselves.”