The rule breaks before the agent does
Negreiros publishes a real ADR, three agent permissions, and the Safari bug that broke production twice while every rule was followed exactly as written.
How teams give feedback and choose between options under pressure.
41 entries
Negreiros publishes a real ADR, three agent permissions, and the Safari bug that broke production twice while every rule was followed exactly as written.
Saarinen, Aufmann, and Kumar on using AI to widen design's search instead of shortening it — context gathering in, critique and copy deliberately out. Our first video field note.
Budiu translates eval rigor into UX-research grammar — representative inputs, repeated runs, confidence intervals — and retires the one-good-output proof for good.
A case for local components as signals, not violations — designers build in place, and the system team governs what earns promotion to the library.
Sunwall names the attachment that burns designers out — ownership of things they can't control — and shows where to reattach it, scenario by scenario.
Wolting explains how Linear replaced predictability with boundaries — system prompt, tool design, run scope, custom harness — and let the agent find its own way inside them.
Williams calls the end of the single source of truth: Figma holds intent, Storybook behavior, production reality — and reconciling them is a job nobody has posted yet.
Yeo turns murmurations and goose formations into an operating model — async telemetry, rotating leads, domain pods, three anchors, and a scheduled molt for design debt.
Fernandez turns Butterfield's 2013 promise into a working framework — utility, usability, feel — with named failure modes and a gut-check: are we proud to ship this?
Williams, from Morales's talk: latency was your real reviewer. When agents erase the wait, the checking must be encoded — governance shipped as an output, not a fight.
The forty-minute scope debate now costs more than generating the diff. Abuadas's move: produce a constrained probe, then argue from evidence instead of vibes.
Kohler rebuts the empathy-plus-creativity definition: sense is pattern recognition built by facing problems, shipping solutions, and staying to see the results.
Quarterbacks under a blitz buy time by stepping toward pressure, not fleeing it. Hoang maps the move onto tech's three blitzes and the drift that follows panic.
Hoang rejects taste-as-gift and lays out four deliberate practice areas — eye, hand, aesthetics, rhetoric — for training design judgment like a discipline.
Production capacity stopped being the constraint. Dean maps what design leaders manage instead: judgment, team cohesion, and the moment to stop generating.
A designer watches AI produce complete outcomes without touching the reason they exist, and argues design's scarce skill is now interpretation.
Litt argues understanding agent-written code keeps you fluent enough to have the next idea, and offers four techniques for getting there.
A product designer with no technical background shipped an agent that grades agents, and felt the what start sliding toward the machine.
Figma distills two days with 1,300 senior leaders into the questions that matter: expertise, team shape, trust, and the quality bar.
Jen Dunnam on leading through acceleration: less panic, harder interview probes for dissent, and naming which speed actually matters.
A Linear engineer on how agent-heavy review freed him from parsing lines to judging whether the work earns its place.
When agents author your design system, intent must live in tokens and metadata, not only in a practitioner's head.
A blunt read on where designer value sits in 2026: production is getting automated, so strategy and judgment are what stay human.
Forty design leaders in Amsterdam reach the same conclusion: the role is dissolving while the capacity becomes foundational to leadership.
A research leader of eight argues for measured AI adoption: pressure-tested tools, tracked outputs, and guardrails before enthusiasm.
Merholz reads the layoff wave through decades-old org theory: under uncertainty, executives copy each other, then call it AI strategy.
PostHog's CEO on shipping AI before it worked, the architecture fix that turned it around, and betting the product on agents.
Bertini argues engagement-maximizing AI doesn't fail by accident, and that designers and product leaders own the direction it takes.
Frame it as infrastructure, not UX, or it gets deprioritized before the meeting ends. · If you don't define the cost of inaction, leadership assumes there isn't one.
shadcn became the default behind every AI-generated UI. A developer built it. Most design teams never noticed they're now competing with it.
Most performance work chases tail latency. GitHub Issues reframed it around distribution shape, then named 4.7% server/cache divergence as the price of feeling instant.
AI-readiness isn't a separate category. The same fundamentals (tokens, layout intent, accessibility, governance, handoff contracts) finally have to read clearly to a non-human.
AI-generated code defers cost, it doesn't reduce it. Seven debt categories concentrate far from where the velocity gain was booked, including reviewer fatigue and security debt.
Frontier AI teams optimize what's measurable, not what matters. Microsoft's user researchers want a seat at the evaluation table, as a safeguard against the metric chosen for being convenient.
Most companies don't write down how they hire because writing it down forces honesty about what they actually value. Linear did the work and published it.
An engineer at Linear scopes coding-agent tasks tight enough that they can't wander. The discipline is the same as scoping for a junior teammate.
Maggie Appleton reads Steve Yegge's chaotic agent orchestrator as speculative design fiction. The coding bottleneck is gone; the design bottleneck was always there.
Coding agents collapsed the implementation window. The alignment checkpoints that used to live inside it just disappeared, and the PR cannot carry their weight.
Rauno tried to solve 'scroll back' with a minimap. The minimap caused jank, the jank needed a blur, and the blur almost worked.
An engineer at Linear scopes coding-agent tasks tight enough that they can't wander. The discipline is the same as scoping for a junior teammate.
Nubank ran a real A/B test on whether to scale or shut down an internal HR product. The data was unambiguous; the team's reaction to it was not.