Design-to-code
Also known as: design to code, Figma to code, design-to-dev
Before AI, converting a Figma screen into a coded component meant a developer carefully reading the design spec and handwriting HTML, CSS, and component logic. It was slow, prone to pixel-level disagreements between what the designer intended and what got built, and required tight back-and-forth between design and engineering.
Design-to-code tools collapse that process. You give the AI a Figma URL, a screenshot, or even a rough sketch, and it generates a working frontend component. Tools like v0 and Lovable support Figma imports directly. Figma Make goes one step further, generating interactive app code from within Figma itself. The output quality varies: simple layouts and components tend to translate cleanly, while complex logic, custom animations, and accessibility nuances still need human review and adjustment.
For AI builders, design-to-code is most valuable at the prototype stage, when you want to validate that a UI idea actually works before investing engineering time. It's also useful for seeding a codebase with a baseline that developers then refactor, rather than starting from a blank file.