What the design-to-code loop unlocks

This post details how AI is collapsing the distance between design and engineering by enabling a more semantic translation between canvas and code. It introduces a bidirectional workflow where designers can take code to canvas and developers can take canvas to code, making teams more self-serve. It also highlights the ability to import real data into Figma for higher fidelity and closer synchronization between design and code, and discusses how AI agents can accelerate large-scale code refactoring and development tasks.