"Told" vs. "Known": The One Variable That Predicts AI Design Tool Qualityproductivity
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James Coombs is a design engineer who built a 60-component design system with a structured query server and ran a controlled ablation study (n=9) measuring AI tool fidelity against it. After evaluating six categories of AI design-to-code tools against a 60-component design system, one variable predicted output quality better than anything else: whether the tool had been told about the design system or knew it. "Told" tools : You describe your components in natural language or docs. The AI…
1Key Takeaways
- James Coombs is a design engineer who built a 60-component design system with a structured query server and ran a controlled ablation study (n=9) measuring AI tool fidelity against it.
- After evaluating six categories of AI design-to-code tools against a 60-component design system, one variable predicted output quality better than anything else: whether the tool had been told about the design system or knew it.
- "Told" tools : You describe your components in natural language or docs.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that james Coombs is a design engineer who built a 60-component design system with a structured query server and ran a controlled ablation study (n=9) measuring AI tool fidelity against it.
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