These independent studies ask two practical questions: How well does a design system stay aligned from design through production? Can an AI coding agent use it to produce working software?
GitHub’s Primer
Primer is strong, but it needs better proof that Figma, code, and product patterns stay aligned.
Evidence through
A strong foundation with incomplete proof that the system stays aligned at scale.
The agent produced working software in most runs, but one missed form behavior shows why automated tests and human review still matter.
IBM’s Carbon
Carbon is mature, but its strongest guidance is not yet backed by system-wide proof.
Evidence through
A strong system with mixed proof that design, code, product flows, and governance stay aligned at scale.
The agent produced working software in most runs, but two missed accessibility connections show why automated interaction and accessibility tests still matter.
The Prototype-to-Production Diagnostic identifies where design, code, product behavior, and team practices drift, then turns the findings into an achievable improvement plan.