Kris Puckett, Design Manager at Stripe, spent months building Epilogue, a real iOS app with 14,000 lines of Swift, entirely through conversation with Claude. This essay is a specific and honest account of what the designer-building-with-AI experience actually looks like: what broke, what he learned about asking precise questions, what ​“vague frustration keeps you stuck, specific confusion gets you answers” actually looks like in practice. ​“I realized the bottleneck was never coding ability. It was articulation. The ability to describe what I wanted clearly enough that something else could build it.”

Karri Saarinen, CEO of Linear, writes one of the more grounded takes on AI’s current state. Linear’s cloud agent now fixes more than 1,000 issues per month, but Karri is clear that hard problems remain hard and design tools are still challenging to use. On having a design tool operate directly on the production codebase: ​“A lot of the design work I do is not production design. I am not trying to implement the final version or test every edge case. Most design work is about making decisions, understanding the problem, and finding the fit. That process generates many variations and messy ideas.”

The expertise paradox section is the most useful: ​“AI often feels most impressive in domains where you know the least.” Expertise makes AI harder to use but also more valuable, because experts know how to steer, constrain, and evaluate the output.

“Designers have always (and will always) answer the question ​‘What’s worth making?’ ” Joel Lewenstein, Head of Design at Anthropic, argues that as the cost of software drops, the most important decisions shift from ​“can we make this?” to ​“should we?” Design, in his framing, is what narrows the possibility space fast enough to keep up with the speed of delivery. He describes Claude Design as a tool for getting ideas ​“good enough to move discussion forward,” cutting idea-to-internal-feedback time from days to hours.

“A state-of-the-art image model that can take on complex visual tasks and produce precise, immediately usable visuals, with sharper editing, richer layouts, and thinking-level intelligence.” OpenAI’s second-generation image model promises a step change in instruction following, precise object placement, dense text rendering, and cross-aspect-ratio generation.

DESIGN​.md encodes your design rules, colors, typography, and component preferences in a plain Markdown file that AI agents can parse and validate against. Google moves DESIGN​.md from a Stitch-specific feature to open-source format specification. If the format gains traction across tools, it could become the missing link between design systems and AI generation pipelines.

A useful companion to Google’s announcement above. Meng To shares 15 takeaways from actually using the format: when to Remix vs. Iterate, how to treat DESIGN​.md as ​“reusable project memory,” and why curation is part of the design process. The most actionable takeaway: ​“Start with DESIGN​.md, generate the first design, remix and expand it, create section variations, move into a builder, then assemble the full site.” Don’t miss his video tutorial on turning a DESIGN​.md into landing pages, mobile screens, and motion design.

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!

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

“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.”

“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.

“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.”

Ben Blumenrose pushes back on what the whole thread is really arguing about: ​“Product designers do help with UI design systems but that’s a fraction of what they do which also includes what product to build, how it should work, how to ensure people understand how to use it, how to create a brand people love and rally around, how the system should work together, etc etc etc but yes they’ll need to do visual design of UI design systems less so I’ll concede on that.”

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.”