Prompts are a thin layer
Stripe, Fin, Anthropic, Vercel, and Linear turn design knowledge into context agents can act on, graded on a maturity scale.
The shared building blocks design teams maintain across surfaces.
48 entries
Stripe, Fin, Anthropic, Vercel, and Linear turn design knowledge into context agents can act on, graded on a maturity scale.
Friedman tours naming conventions for tokens, components, layers, and features, built on the systems other teams already use.
Google's Stitch team shipped DESIGN.md, an open alpha spec pairing tokens with prose intent so coding agents inherit visual rules.
Rhiannon Bell, VP of UX for Google Search, on the decisions behind AI Mode, dynamic component systems, and the skills gaining value.
NN/g’s power-user study lands one shift: context curation, not prompt craft, is where the leverage moved.
A low-vision Nubanker wrote BLIND-CLAUDE.md: every response must survive being read aloud, top to bottom, in order.
Ahmadi's test for every agent action: execution, judgment, governance. Readiness is legibility, not tooling.
45 seconds to generate the screen, three hours to make it honest. Singh's metric: time to trusted output.
Palma and Martins gate the marketplace: 2,000 skills vetted, 1,600 risks flagged, before one reached a developer.
Williams reads seven August writers landing on one gap: enforcement graduated into furniture, which nobody owns.
Kumar’s five layers for agent-built UI: tokens, components, context, discovery, and enforcement wired into CI.
Neeman walks five eras since Bell Labs, each keeping the disposable habit and forgetting the durable lesson.
Ramp built Inspect with six years of Linear as its memory. The agent now writes three of every four merged PRs.
Import counts can’t tell reuse from copying, and AI made forks cheap. Trueman watches prop shapes and wrappers instead.
Negreiros publishes the ADR, the permissions, and the Safari bug that broke production twice while every rule held.
Skovhus turns a 1,000-PR styling migration into a boundaries argument: contracts enforced by tooling, built for agents.
Donald, a career systems hand, suspects we’ve outgrown design systems and sketches the one that absorbs the product.
Turakhia took the editor away from an entire org for two weeks: the old way of working lives there.
Local components as signals, not violations: designers build in place, and the system team governs what earns promotion.
Wolting swapped predictability for boundaries: system prompt, tools, run scope, harness, and the agent finds its way.
Figma holds intent, Storybook behavior, production reality. Williams says reconciling them is a job nobody posted yet.
Hoang names the discipline forming around agents as users: access, context, tools, and parallel paths for two minds.
Williams, from Morales’s talk: latency was your reviewer. When agents erase the wait, governance ships as an output.
Every prompt is now a design decision. Alicea’s answer: stop persuading humans and curate context that steers models.
Loop engineering becomes team infrastructure: describe a recurring job in plain language and the agent runs it.
A designer watches AI finish outcomes without touching why they exist, and calls interpretation the scarce skill.
Callahan splits product quality in two: the design system sets the floor, and how product teams use it sets the ceiling.
When agents author your design system, intent must live in tokens and metadata, not only in a practitioner's head.
Sheta Chatterjee walks the design calls behind Gemini Enterprise: a shared AI inbox and people kept in control.
After three decades built on the handoff, Jamieson Rothwell ships working software and treats builds as design.
A solo builder lays out the agent framework, test automation, and remote setup that made his product workflow far faster.
Citing a 515-startup field experiment, Nielsen argues AI pays off when teams redesign whole workflows, not single tasks.
A founder argues the shift that matters is encoding brand rules and taste into files non-designers can run.
Forty design leaders in Amsterdam land on one conclusion: the role dissolves while the capacity becomes foundational.
GitHub’s five-year program turns outward: audit data, design tooling, and AI agents make inclusion operational.
Stitch grows into an AI-native infinite canvas: design agents, voice critique, and DESIGN.md moving between tools.
PostHog's CEO on shipping AI before it worked, the architecture fix that turned it around, and betting the product on agents.
An early-career case for building leverage: encode taste into tools and remove friction over polishing more screens.
Indeed’s build story: structured metadata over prose, and JSON five times cheaper than Markdown for the same query.
Agents expose every gap you papered over. Williams asks whether your system can explain itself to an LLM.
shadcn sits behind every AI-generated UI. A developer built it, and most design teams never noticed the competition.
Agents read structure and naming, not docs or goodwill, and the informal contract becomes a hard boundary.
Microsoft folded Copilot into four surfaces tied by one ‘Throw and Catch’ pattern: the pattern is the system.
GitHub Issues reframed performance around distribution shape, then paid 4.7% server/cache divergence to feel instant.
AI-readiness is the old spec finally enforced: tokens, layout intent, and governance now have to read to a non-human.
AI code defers cost instead of cutting it: seven debt categories land far from where the velocity gain was booked.
McMillin reframes canvas, code, and PRD as one system: an agent translates, and judgment moves through both.
Microsoft spent years replacing plastic with paper. Committing was easy; making every millimeter behave was the work.