governance-encoder

Converting design system governance policies into machine-executable rules requires transforming human-readable documentation into structured JSON or YAML constraint files. This enables automated validation by AI agents and CI pipelines to enforce standards programmatically.

Automating design system token validation in CI/CD pipelines is possible by generating structured JSON or YAML constraint files from governance policies. These files integrate with configuration setups to programmatically flag naming, structure, and token usage violations.

Design system rule categories that can be encoded into JSON or YAML constraints include naming conventions, structure, tokens, accessibility, contribution workflows, release management, and documentation standards, ensuring comprehensive automated validation coverage.

The governance policy encoder integrates with Figma and GitHub data by auto-pulling information through their respective MCP connections. This ensures comprehensive rule encoding by validating actual component designs and repository structures against defined policies.

Generating ESLint rules from component naming conventions involves converting detailed governance documentation into a JSON constraint file. This structured file configures ESLint to automatically detect and flag any naming violations within your codebase.

The best way to enforce design system standards programmatically is encoding governance policies into machine-readable JSON or YAML files. These constraint files allow AI agents and CI/CD pipelines to automatically validate code and flag compliance issues.