Current Labs — Design-to-Code Tools for Builders

AI.D — AI-Driven Design Methodology & Platform

AI.D is a structured methodology and platform that bridges design and development. It provides the framework for turning design systems into maintainable, production-ready code — powered by AI. Unlike screenshot-to-code tools that produce throwaway markup, AI.D works with your actual design system to generate code that respects your architecture.

AI.D combines three core principles: atomic design as the foundation (decomposing UI into atoms, molecules, organisms, templates, and pages), design tokens as the source of truth (colors, typography, spacing extracted as variables, not hardcoded), and AI as the bridge (reading design intent and generating framework-specific code).

The platform supports React, Vue, Svelte, and plain HTML output. Whether you're building a design system from scratch or maintaining an existing one, AI.D provides the repeatable workflow your team needs to ship faster without sacrificing quality.

• AI.D methodology for structured design-to-code workflows
• Production-ready code generation from Figma designs
• Framework-agnostic output (React, Vue, Svelte, HTML)
• Automatic design token extraction and integration
• Atomic design classification and component mapping

Atomic Design Extractor — Figma Plugin

Turn Figma components into production-ready code with a single click. The Atomic Design Extractor is a free Figma plugin that extracts design tokens, automatically classifies components into atomic design levels, and generates framework-specific code directly from your Figma designs.

The plugin analyzes your Figma file's structure, identifies design tokens (colors, typography, spacing, border radius, shadows, and more), and maps each component to its atomic design level — atoms, molecules, organisms, templates, or pages. From there, it generates clean, well-structured code in your framework of choice.

Output formats include React with TypeScript, Vue single-file components, plain HTML, and SCSS/CSS modules for styling. The generated code follows best practices and is ready to integrate into your codebase — no manual cleanup required.

• One-click design token extraction from any Figma file
• Automatic atomic design classification of components
• React, Vue, and HTML code generation
• SCSS and CSS module style output
• Design system export for team-wide consistency

How AI.D Works — The 5-Step Workflow

AI.D provides a structured, repeatable process for turning Figma designs into production-ready code. Here's how it works:

1. Design — Create components in Figma following atomic design principles. Structure your design system with clear naming conventions and consistent token usage.
2. Extract — Use the Atomic Design Extractor plugin to pull design tokens (colors, typography, spacing, effects) and map component structure automatically. No manual token documentation needed.
3. Generate — AI reads the extracted design system data and produces framework-specific code (React, Vue, Svelte, or HTML) that respects your design intent and architecture.
4. Review — Developers review the generated code, make refinements, and ensure it meets project-specific requirements. AI.D gives you a strong starting point, not a black box.
5. Ship — Production-ready components go into your codebase. Design tokens stay in sync, so future design changes propagate automatically.

Use Cases

For Design System Teams

Maintain a single source of truth in Figma and generate consistent code across your entire component library. AI.D ensures that design tokens, spacing, and visual properties stay in sync between design and development.

For Figma-to-Code Workflows

Stop manually translating Figma designs into code. The Atomic Design Extractor reads your Figma components and produces clean, structured code — complete with proper styling and component hierarchy.

For Design-Developer Handoff

Eliminate the guesswork in handoff. Instead of redlines, specs, and back-and-forth, AI.D generates the actual code from the design — ensuring pixel-perfect implementation with no interpretation gaps.

Frequently Asked Questions

What are design-to-code tools for Figma?

Design-to-code tools for Figma help developers convert Figma designs into usable code. They range from screenshot-based tools that interpret visual layouts, to plugin-based tools like the Atomic Design Extractor that work directly with Figma's design data. Current Labs takes a methodology-first approach — using AI.D to ensure the generated code is production-ready, maintainable, and aligned with your design system architecture.

How does AI improve design-to-code workflows?

AI can understand design intent — not just pixel positions — and generate code that respects semantic structure, responsive behavior, and design system conventions. With AI.D methodology, AI reads your design tokens and component hierarchy to produce framework-specific code that follows best practices. This reduces the manual effort of translating designs by 60-80% while maintaining code quality.

What is the AI.D methodology?

AI.D (AI-Driven Design) is a structured methodology developed by Current Labs for turning design systems into production-ready code. It follows a 5-step workflow: Design (create components in Figma using atomic design), Extract (pull design tokens automatically), Generate (AI produces framework-specific code), Review (developers refine the output), and Ship (components go into production). AI.D ensures repeatable, consistent results across teams and projects.

How do you extract design tokens from Figma?

The Atomic Design Extractor Figma plugin analyzes your Figma file and automatically extracts design tokens — colors, typography scales, spacing values, border radii, shadows, and more. These tokens are output as structured data (SCSS variables, CSS custom properties, or JSON) that can be directly integrated into your codebase. Unlike manual token documentation, extraction is instant and always in sync with the source design.

How can I improve design-developer handoff?

The best way to improve handoff is to eliminate it. Instead of creating spec documents and redline annotations, use tools that generate code directly from designs. AI.D methodology bridges the gap by extracting design tokens and generating production-ready components from Figma — so developers start with working code instead of a PDF of screenshots. This reduces miscommunication, speeds up implementation, and keeps design and code in sync.

What is atomic design and how does it help with code generation?

Atomic design is a methodology by Brad Frost that organizes UI components into five levels: atoms (buttons, inputs), molecules (search bars, form fields), organisms (headers, card grids), templates (page layouts), and pages (specific instances). This hierarchy maps directly to component architecture in code, making it ideal for automated code generation. Current Labs uses atomic design as the foundation of AI.D, ensuring generated components have proper structure, reusability, and maintainability.

How do you turn Figma designs into production-ready code?

With Current Labs tools, the process is: (1) Install the Atomic Design Extractor plugin in Figma, (2) select the components you want to convert, (3) the plugin extracts design tokens and classifies components by atomic level, (4) choose your target framework (React, Vue, Svelte, HTML), and (5) export production-ready code with proper component structure, styling (SCSS/CSS modules), and design token integration. The code is clean, well-organized, and ready to integrate into your project.

What makes Current Labs different from other design-to-code tools?

Most design-to-code tools focus on visual replication — turning pixels into code. Current Labs takes a methodology-first approach with AI.D. Instead of generating throwaway markup, we work with your design system's actual structure — tokens, components, and hierarchy — to produce code that's maintainable and scalable. The Atomic Design Extractor understands component relationships, not just visual appearance, which means the output respects your architecture rather than fighting it.

Be an Early Adopter

Join the Current Labs community and get early access to our design-to-code tools. Be among the first to experience a new way to build — from Figma designs to production-ready code, powered by AI.D methodology.

About Current Labs

Current Labs was founded in 2025 with a mission to eliminate the friction between design and development. We believe that design systems should be the single source of truth for both designers and developers — and that AI can bridge the gap between them.

Our team builds tools grounded in the AI.D (AI-Driven Design) methodology, which combines atomic design principles, design token extraction, and AI-powered code generation to create a structured, repeatable workflow for turning Figma designs into production-ready code.

Blog

• Getting Started with the Atomic Design Extractor — A Step-by-Step Tutorial

  A hands-on walkthrough of installing and using the Atomic Design Extractor Figma plugin to extract design tokens, classify components, and generate production-ready code.

• Extracting Design Tokens from Figma — A Complete Guide

  Learn what design tokens are, why they matter for design systems, and how the Atomic Design Extractor automates token extraction from Figma into your codebase.

• The Best Design-to-Code Tools in 2026 — A Landscape Overview

  A comprehensive comparison of screenshot-to-code tools, plugin-based converters, and methodology-driven approaches like Current Labs AI.D for turning designs into code.

• The Complete Guide to Design-Developer Handoff

  Why traditional handoff is broken, common pain points teams face, and how AI.D methodology eliminates the gap between design and development.

• 5 Benefits of AI-Driven Design Methodology

  Discover how AI.D methodology improves speed, consistency, scalability, and code quality in design-to-code workflows — with concrete before-and-after examples.

• Introducing AI.D — AI-Driven Design Methodology

  How AI.D bridges the gap between design and development with a structured, repeatable workflow that turns design systems into production-ready code.

• Design-to-Code Workflows in 2026 — What's Changed

  The landscape of design-to-code tools has evolved rapidly. Here's where things stand and what teams should know about modern workflow options.

• WebMCP — Making Websites Agent-Friendly

  How Current Labs implemented WebMCP on currentlabs.dev to let AI agents interact with the site programmatically, and why it matters for the future of the web.