Design System to LLM Architecture

aws · architecture diagram.

About This Architecture

Design System to LLM Architecture bridges Figma design tokens through a three-layer CSS variable system into AI-readable specification files that guide LLM agents in generating compliant component code. The upstream design system feeds tokens.css (foundations, aliases, component references) and 64 LLM-readable specs organized by tier (foundations, atoms/molecules/organisms, patterns), while CI enforcement via token-audit.js and drift detection ensures consistency across 39 pinned dependencies. An AI coding agent reads CLAUDE.md rules and spec files to write var(--token) references, with every commit validated by an audit gate that blocks non-compliant code. This architecture eliminates manual token mapping, reduces design-to-code drift, and enables LLMs to generate on-brand components at scale. Fork this diagram on Diagrams.so to customize token layers, add enforcement rules, or integrate with your CI/CD pipeline. The pattern is ideal for teams scaling design systems across multiple products while maintaining AI-assisted development velocity.

People also ask

How do you structure a design system to guide LLM agents in generating compliant component code?

This diagram shows a three-layer token system (upstream DS tokens → project aliases → component references) feeding 64 LLM-readable spec files organized by tier, with CI enforcement via token-audit.js and drift detection ensuring consistency. An AI agent reads CLAUDE.md rules and specs to write var(--token) references, validated by an audit gate before shipping.

Design System to LLM Architecture

AWSadvanceddesign-systemsAI-assisted-developmenttoken-architectureCI-CD-enforcementLLM-integrationcomponent-libraries
Domain: Devops CicdAudience: Frontend architects and design systems engineers implementing AI-assisted component development with token-based design
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Created by

March 3, 2026

Updated

March 3, 2026 at 1:42 AM

Type

architecture

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