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.

Theo shares a 22-minute demo of OpenAI’s new Codex desktop app, pitching it as a ​“Cursor killer” after using it for a week of real work.

Ed Bayes from Open AI shared a 2 minute demo of using the Codex desktop app’s Figma skill to turn designs into front-end code with 1:1 visual parity, including all CSS classes and styling.

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.

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

On a recent livestream, Product Designer Megan Bednarczyk and Software Engineer Nile Phillips from Figma demonstrated how PDE teams can use AI-powered diagramming to tackle complex problems and visualize the bigger picture.

“Join Nikolas Klein (Product Manager, Figma) and Peter Ng (Product Designer, Figma) in the first episode of Design Roulette, where we challenge designers to create designs with no preparation. The twist? They’ll also have to spin the wheel and incorporate the chosen random design prompt into their design. In this episode, they’ll conceptualize ads for the mythical hot sauce, Véloce, using Figma’s new AI image editing tools.”

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!

Admins on Organization and Enterprise plans can now view historical AI credit usage data to better plan for future costs.

I wrote about Vercel’s Web Interface Guidelines in the past, but now they’re available as a skill/​command for your agent.

Great conversation between Ridd and Kyle Zantos on how designers can actually build things with AI using Claude Code. Many tips are tactical and transferable to other tools like Cursor. A few things I’m going to try after listening to this episode are using Leva for playing with parameters and building skills encoding best practices from top design engineers. After this episode went live, Kyle published Design Motion Principles, a Claude Code skill for motion and interaction design audits, trained on Emil Kowalski, Jakub Krehel, and Jhey Tompkins.

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.

Dylan Field argues that AI will generate more of the short‑lived, simple artifacts in software and design, while humans will remain central for long‑lasting, high‑impact work where craft and intention matter most.

Three new AI image editing tools for precise editing and manipulation work — Erase object, Isolate object, and Expand image — and a new toolbar that pairs existing image editing capabilities with these new features. ​“Now, you can lasso any object in an image and use Erase object to remove it completely, or Isolate object to edit or reposition it—without affecting the image background. You can also take a single object or person and apply lighting, color, or focus adjustments. […] Expand image extends the image background to fit new aspect ratios without distortion, preserving the integrity of an image while adapting it to any layout.”

“Join us to hear how Figma and OpenAI’s Codex are making design-to-code workflows more efficient and accurate. With the Figma MCP server, developers can easily bring design context into Codex to generate production-ready code. We’ll chat with Romain Huet, Head of Developer Experience at OpenAI, for a live demo, practical tips, and a Q&A session.”

“Use ChatGPT to generate presentations, social posts, invitations, digital ads, posters, and more. The Figma app is available to ChatGPT users on all plans. Support is coming soon for users in the EU.”

Figma introduces a way to track your AI credit usage, and on March 11, 2026, will offer more ways to buy additional AI credits.

Fast Company spoke with Figma’s head of AI, David Kossnick, about what the company has accomplished so far, where he’s trying to steer it, and why the tech industry needs to move past prompting and create experiences that are ​“more visual, more exploratory.”