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This guide shows how to prepare a design system for reliable AI prototypes by codifying design decisions into Markdown spec files, maintaining a token layer of named variables, and running audits to catch hard-coded values. It covers using tools like FigmaLint, syncing updates, and structuring guidelines so AI always works from clear, current specs.
The author argues that Figma’s complex, proprietary system will give way to code-centric tools like Claude Design, which use HTML and JavaScript as the true source of design. They predict two branches will emerge: one tightly integrated with code (Claude Design) and another pure-exploration sandbox for freeform creative work.