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reopt Handbook
reopt Handbook
Design Systems for the AI Era

Foundation

Token ArchitectureComponent SpecBuilt-in Accessibility

AI Workflow

Prompt InterfaceDESIGN.md InterfaceAgentic Design Quality ControlWorkflow StrategiesAI-Based Design System EvolutionContext Injection

User Experience

Consistency PatternsInteraction DesignForms and Data Input

Next Interfaces

Agent UI ProtocolsGenerative UISpatial and Multimodal Interfaces

Practice

Execution PlaybookMigration StrategyGovernance and CollaborationCase Studies

Operations

Verification ChecklistUpdate Log
Handbook›Design Systems for the AI Era›Governance and Collaboration
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Governance and Collaboration

Ownership, change management, and quality gates for AI-ready design systems.

Key takeaways

  • Without ownership, change process, and quality gates, AI accelerates design-system drift instead of reducing it.
  • Assign clear owners for token contracts, component APIs, accessibility, agent context, and visual QA.
  • Each change type has a review requirement: new tokens need a migration note, new variants need usage and anti-pattern rules.
  • Quality gates run type checks, token schema validation, example builds, accessibility checks, and visual regression on key surfaces.
  • Agents may propose contract changes but must never introduce tokens, variants, or layout patterns silently; every change needs a review path.

Design-system quality depends on governance. Without ownership, change process, and quality gates, AI accelerates drift instead of reducing it.

Ownership Model

AreaOwner
Token contractsDesign-system maintainers and design leads.
Component APIFrontend platform or UI library owners.
AccessibilityAccessibility owner plus component owners.
Agent contextPlatform, DX, or AI engineering owner.
Visual QAProduct design and frontend reviewers.

Change Types

ChangeReview requirement
New tokenDesign-system owner approval and migration note.
New componentAPI, accessibility, and visual examples.
New variantUsage rule and anti-pattern note.
Agent instruction changeDX/platform review.
Generated UI patternScreenshot and design QA evidence.

Quality Gates

  • Type checking.
  • Token schema validation.
  • Component example build.
  • Accessibility checks.
  • Visual regression for key surfaces.
  • Human review for new contracts.

Collaboration Rhythm

  • Weekly triage for UI drift and missing primitives.
  • Monthly design-system release notes.
  • Quarterly cleanup of deprecated tokens and variants.
  • Incident-style review when generated UI repeatedly fails.

Agent Policy

Agents may propose contract changes, but they should not silently introduce them. Any new token, variant, component, or layout pattern needs an explicit review path.

Related docs

AI-Based Design System Evolution

Use AI to build, audit, and evolve the design system itself.

Execution Playbook

The minimum path for launching an AI-first design system quickly.

Team Documentation Culture

Agentic Documentation · Govern agent instructions, Skills, Plugins, MCP servers, ownership, and rollout.

AI-assisted Writing Process

Agentic Documentation · Source scan, draft, deterministic validation, agent smoke test, owner review, and freshness monitoring.

Operations: Entropy and Garbage Collection

Harness Engineering · Explain how harnesses decay and how teams keep docs, workflows, permissions, hooks, and runtime surfaces current.

Migration Strategy

Convert an existing design system into an AI-ready system incrementally.

Case Studies

Practical patterns from shadcn, Radix, Stitch, Material, Fluent, and AI-first systems.

On this page

Ownership ModelChange TypesQuality GatesCollaboration RhythmAgent Policy