Design-to-code
Design-to-code is the LLM-product category where a screenshot, Figma file, or prose description is converted to working code — v0, Bolt, Lovable, Replit Agent, screenshot-to-code are 2026 leaders.
Pre-LLM design-to-code tools were rule-based and brittle. LLMs changed the game: feed a screenshot or Figma frame, the model emits React + Tailwind that matches. Production patterns: full-app stacks (Lovable, Bolt, Replit) generate a Next.js + Supabase + auth scaffold from a single prompt; component-only (v0, screenshot-to-code) emit a single React component for paste-in; design-system-aware (Builder.io Visual Copilot) match an existing design system. Quality challenges: pixel-perfect fidelity is still imperfect, design tokens (spacing, colors) often diverge from the source, accessibility (semantic HTML, ARIA) is often weak. Best used as a starting scaffold + human cleanup rather than as final shippable code.
When to use design-to-code
- Prototyping landing pages from a screenshot.
- Bootstrapping React components from a Figma frame.
Common mistakes
- Shipping the first generation — design tokens, accessibility, edge cases need cleanup.
FAQ
What is design-to-code?
Design-to-code is the LLM-product category where a screenshot, Figma file, or prose description is converted to working code — v0, Bolt, Lovable, Replit Agent, screenshot-to-code are 2026 leaders.
When should I use design-to-code?
Prototyping landing pages from a screenshot. Bootstrapping React components from a Figma frame.
What are the most common mistakes with design-to-code?
Shipping the first generation — design tokens, accessibility, edge cases need cleanup.
Related terms
- Vibe coding — Vibe coding is the 2024-2026 idiom for building software primarily by describing intent to an AI coding assistant — coding by feel and outcome rather than line-by-line authorship.
- Interactive artifact — An interactive artifact is a live-rendered HTML / React / SVG / Mermaid surface inside an LLM chat — Claude Artifacts and OpenAI Canvas popularized the pattern in 2024-2026, turning chat from text into running mini-apps.
- Generative UI — Generative UI is the pattern where a language model dynamically chooses, configures, and renders UI components in real time based on the user's intent — instead of returning text, it returns a UI.
Last updated: 2026-06-01. Raw markdown: https://promtable.com/glossary/design-to-code.md.