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How To Reduce AI Drifting in Design
Implementing 'component contracts' and deterministic harness engineering can stop AI from drifting away from design system requirements.
What: The approach uses plain-language specifications as the source of truth between code and design, enforcing guardrails around models to ensure output consistency. Tests revealed that governed AI agents achieved a 100/100 score in building UI screens compared to 69/100 for unconstrained models.
Why it matters: Standardizing the communication between design intent and model execution is the only way to prevent AI from creating inconsistent, unmaintainable UI code at scale.
Decoder
- Component Contract: A plain-language specification that explicitly defines the properties, behavior, and visual requirements of a UI component.
- Harness Engineering: The practice of surrounding an AI model with deterministic code or constraints to enforce predictable behavior and output.
Original article
Design systems drift when Figma components and front-end code fall out of sync, and AI often widens that gap rather than closing it. A proposed fix uses "component contracts" — plain-language specs that become the shared source of truth — paired with harness engineering, deterministic guardrails surrounding an AI model. Testing showed an AI agent scored 100/100 building screens from a contract catalog, versus 69/100 when ungoverned.
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