AI prototyping is collapsing the distance between design and implementation. The answer is not to eliminate handoff, but to redesign it around intent, system constraints, code quality, and shared ownership.
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There is a predictable mistake happening with AI design tools right now: teams open the new assistant, type “design a dashboard,” get a vaguely competent result, and decide the tool…
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You do not need to become a developer to get value from Claude Code. You need a controlled workflow, good constraints and the ability to review outcomes.
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Trust is becoming one of the most abused words in AI design. Teams add friendly language, an avatar, an “AI may make mistakes” disclaimer and call the experience trustworthy. That…
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A practical guide to making Figma structured context available to AI coding agents so generated code can follow your real design system.
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Most of the first generation of AI products borrowed an interface we already understood: chat. Type a request, receive an answer. The interaction was familiar enough that designers could reuse…
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AI agents do more than answer questions. They act. That changes the interface patterns designers need to make intent, control and trust visible.
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Synthetic users are one of the most seductive ideas in contemporary UX research. Give an AI a persona, ask questions, receive articulate feedback in seconds. No recruitment. No scheduling. No…
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A practical guide to using Figma Agent as a product designer: seven workflows that save time without giving up design judgment.
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The Invisible Work of a UX Lead: 4 Ways to Add Value Beyond the Screen There is a specific kind of exhaustion that design leads don't talk about enough. It's…
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