Why AI-generated UI code needs human eyes, not just a code review

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A developer rebuilding the mascot for a trip expense-splitting app discovered that visual design decisions cannot be resolved through text-based discussion alone, whether with a human collaborator or an AI. To break the deadlock, they created three structurally distinct mascot prototypes — a jelly bean, a personified wallet, and a cat — and evaluated them side by side as rendered images. During this process, a bug emerged where the wallet mascot's arms visually read as legs due to an incorrect rotation anchor point in SwiftUI code. The error was syntactically valid and would have passed both an AI-generated review and a human code scan, yet was immediately obvious when rendered on screen. The experience highlighted a key limitation: AI tools writing UI code are effectively blind to their own visual output, making real rendering an essential and irreplaceable step in the design process.

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