HOW TO MAKE YOUR DESIGN SYSTEM AI-READY

Summary from the TLDR Design newsletter

AI-generated prototypes often fall short not due to model limitations, but because of undocumented decisions, hard-coded values, and inconsistencies scattered throughout design systems. A practical framework addresses this through treating design decisions as infrastructure, auditing tools like FigmaLint, and a three-layer system of spec files, token layers, and automated audits. Design debt can't be resolved by AI alone—it requires deliberate human guidance and ongoing maintenance of design systems over time.