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Is Your Design System Ready for AI?
AI can generate convincing interfaces, but it struggles when a design system’s decisions live in team knowledge rather than its components, documentation and defaults. Preparing a design system for AI means making those decisions discoverable, explicit and verifiable.
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There’s a good chance that somewhere in your org, someone is trialling an AI code review tool right now, and at the same time someone else is pasting agent output into PRs under their own name.
·6 min readOptimise Your Context, Not Your Prompts
AI makes better engineering decisions when it can understand a project’s architecture, conventions and shared knowledge. Making that context clear and discoverable helps it produce software that fits the wider system.
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