How Layout Compares

Paper is a design canvas with MCP write access — agents create and modify designs inside Paper. Layout is a design system compiler — agents consume your existing design system context to write better code in your codebase. Paper replaces Figma. Layout works with Figma. Different tools, actually complementary.

They import your design system into their canvas. Layout exports it into your IDE. They generate prototypes you screenshot and hand off. Layout generates context that makes Claude Code, Cursor, Windsurf, Copilot, Codex, and Gemini CLI produce on-brand code directly in your codebase. No copy-paste. No handoff gap.

Figma’s MCP has 11 tools for accessing file-level design data — node trees, variables, screenshots, and Code Connect mappings. It’s excellent for implementing a specific screen. Layout solves a different problem: it extracts the design system itself (tokens, components, spacing rules, anti-patterns) from Figma or any website and serves it as structured context so your AI agent can build anything on-brand — not just reproduce an existing design.

You could paste a colour palette. But LLMs also need typography scales, spacing grids, component naming conventions, border-radius rules, motion tokens, and anti-patterns. Layout extracts all of this automatically and keeps it updated. Manual prompts go stale on the first Figma change.

Variant generates new designs. Layout ensures your existing design system is faithfully reproduced by AI coding agents. If you’re building a product with an established brand, you need consistency, not novelty. They solve different problems.

Pencil is an IDE-native design canvas — you design inside VS Code. Layout doesn’t ask anyone to change tools. Designers stay in Figma, developers stay in their terminal. Layout is invisible infrastructure between them.

They can — until your brand uses a custom typeface. Most design-to-code tools ignore fonts entirely, leaving AI agents to guess or fall back to system-ui. Layout extracts font declarations, lets you upload custom font files (.woff2, .ttf), and bundles them in the export. Your AI agent gets the actual font files alongside the design tokens, so generated components render with the right typeface from the start.

Great for humans. Not built for LLMs. Storybook serves rendered component previews. Zeroheight serves prose documentation. Neither produces structured, token-level context that AI coding agents can consume. Layout bridges that gap.

Figma’s API gives raw file data. Layout interprets it — resolving style references to actual values, grouping tokens by semantic role, generating spacing scales, identifying component patterns, and synthesising everything into a 9-section context file optimised for LLM consumption. Extraction + synthesis, not a passthrough.