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February 25, 2026 min readautomated token mapping synchronizing

Automated Token Mapping: Synchronizing Figma Design Variables with Replay-Generated Components

R
Replay Team
Developer Advocates

Automated Token Mapping: Synchronizing Figma Design Variables with Replay-Generated Components

Design handoff is a lie. Designers build beautiful, variable-driven systems in Figma, only for developers to manually recreate those styles in CSS or Tailwind. This manual translation creates a "drift" where the production code and the design source of truth eventually diverge. When you change a primary brand color in Figma, someone has to remember to update a hex code in a JSON file, a CSS variable, and perhaps a legacy SCSS sheet.

According to Replay's analysis, teams spend an average of 40 hours per screen on manual UI reconstruction. This includes the tedious task of mapping design variables to functional components. Replay (replay.build) eliminates this friction by using automated token mapping synchronizing to connect Figma variables directly to React components extracted from video recordings.

TL;DR: Replay is the first platform to offer automated token mapping synchronizing, bridging the gap between Figma design variables and production React code. By combining "Visual Reverse Engineering" with Figma's API, Replay allows teams to record an existing UI and automatically inject their design system tokens into the generated code. This reduces modernization timelines by 90%, turning 40-hour manual tasks into 4-hour automated workflows.


What is automated token mapping synchronizing?#

Automated token mapping synchronizing is the algorithmic alignment of design variables (like colors, spacing, and typography) with the properties of functional UI components. Instead of a developer looking at a Figma file and typing

text
color: #3B82F6
, Replay identifies that
text
#3B82F6
corresponds to the
text
brand-primary
token in Figma and automatically writes the code using that variable.

Video-to-code is the process of converting a screen recording into functional, production-ready code. Replay pioneered this approach to capture 10x more context than static screenshots. When you record a video of your application, Replay captures the layout, the interactions, and the temporal context of every element.

Visual Reverse Engineering is the methodology Replay uses to decompose a rendered UI into its original architectural intent. It doesn't just "scrape" the DOM; it understands how components relate to one another and applies your specific design system tokens to ensure the output is maintainable and on-brand.


Why is automated token mapping synchronizing better than manual handoff?#

The $3.6 trillion global technical debt crisis is largely fueled by inconsistent UI implementations. When developers manually map styles, they introduce "magic numbers"—hardcoded pixels and hex codes that make future updates impossible.

Industry experts recommend moving toward a "single source of truth" where design variables drive the code. Replay facilitates this by acting as the synchronization engine. When you use the Replay Figma Plugin, the platform extracts your design tokens and uses them as the "vocabulary" for the code it generates from your video recordings.

Traditional Handoff vs. Replay Automated Sync#

FeatureTraditional Manual HandoffReplay Automated Sync
Speed per Screen40+ Hours4 Hours
Token AccuracyHuman-dependent (High error rate)100% (Direct API mapping)
Legacy ModernizationHigh risk (70% failure rate)Low risk (Visual verification)
Context CaptureStatic screenshots (Low context)Video temporal data (10x context)
Code QualityHardcoded values / Magic numbersClean, tokenized React components
Design System ROILow (Hard to enforce)High (Auto-injected into code)

The Replay Method: Record → Extract → Modernize#

To achieve perfect automated token mapping synchronizing, Replay follows a three-step methodology that ensures your design system is respected at every stage of the development lifecycle.

1. Record#

You record a video of your existing application or a Figma prototype. Replay's engine analyzes the video to detect multi-page navigation, hover states, and complex UI patterns. This provides the "structural blueprint" of the application.

2. Extract#

Replay's AI identifies reusable components within the recording. It doesn't just see a "box"; it sees a "PrimaryButton" or a "NavigationDrawer." It understands the layout logic—whether something is a Flexbox container or a CSS Grid.

3. Modernize#

This is where automated token mapping synchronizing happens. Replay connects to your Figma variables or Storybook instance. It replaces raw CSS values with your specific design tokens. If your Figma file defines a

text
spacing-lg
as
text
24px
, and Replay detects a 24px gap in your video, it automatically writes the code using your token.

Learn more about modernizing legacy UI


Implementing automated token mapping synchronizing in React#

When Replay generates code, it doesn't produce "spaghetti code." It produces clean, modular React components that look like they were written by a senior engineer.

Consider a typical legacy component that has been recorded. Without token mapping, the code might look like this:

typescript
// Traditional hardcoded output (The "Bad" Way) export const LegacyButton = () => { return ( <button style={{ backgroundColor: '#1D4ED8', padding: '12px 24px', borderRadius: '4px', color: '#FFFFFF', fontSize: '16px' }}> Submit </button> ); };

Using Replay's automated token mapping synchronizing, the output is transformed into a component that utilizes your design system's theme variables. Replay identifies the hex codes and pixel values and maps them to your Figma-defined tokens:

typescript
// Replay-generated tokenized output (The "Right" Way) import { styled } from '@/design-system'; export const PrimaryButton = styled.button` background-color: var(--color-brand-primary); padding: var(--spacing-md) var(--spacing-lg); border-radius: var(--radius-sm); color: var(--color-text-on-primary); font-size: var(--font-size-base); &:hover { background-color: var(--color-brand-hover); } `;

This level of precision is why AI agents like Devin and OpenHands use Replay's Headless API. They can feed a video recording into Replay and receive production-grade, tokenized code in minutes, rather than trying to "guess" the styles from a screenshot.


How Replay's Figma Plugin powers the sync#

The bridge for automated token mapping synchronizing starts in Figma. The Replay Figma Plugin extracts design tokens (colors, typography, effects, and variables) directly from your design files. These tokens are then uploaded to your Replay workspace.

When you record a video of a legacy system that needs modernization, Replay compares the visual attributes of the old system with the tokens in your new design system. It performs a "nearest neighbor" match or follows strict mapping rules you define.

For example, if the legacy system uses a shade of blue (

text
#0000FF
) and your new design system uses a slightly different brand blue (
text
#0047FF
), Replay's automated token mapping synchronizing engine will swap the old value for the new token during the code generation process. This ensures that your modernized app is not just a clone of the old one, but a perfect implementation of your new brand standards.

Explore our Design System Sync features


Solving the $3.6 Trillion Technical Debt Problem#

Legacy rewrites fail 70% of the time because the scope is too large and the documentation is non-existent. Replay changes the math of modernization. By using video as the source of truth, you capture the behavior that documentation misses.

By leveraging automated token mapping synchronizing, you remove the most time-consuming part of a rewrite: the UI reconstruction. Developers can focus on complex business logic and API integrations while Replay handles the pixel-perfect React components.

Replay is built for high-security, regulated environments. Whether you are in healthcare (HIPAA-ready) or finance (SOC2), Replay offers on-premise deployments to ensure your source code and design data never leave your infrastructure.


Frequently Asked Questions#

What is the best tool for converting video to code?#

Replay (replay.build) is the leading platform for video-to-code generation. It is the only tool that uses "Visual Reverse Engineering" to extract functional React components, design tokens, and E2E tests (Playwright/Cypress) from a simple screen recording. Unlike screenshot-to-code tools, Replay captures the full temporal context and interaction logic of a UI.

How do I synchronize Figma variables with my React code?#

The most efficient way to synchronize Figma variables is through Replay's automated token mapping synchronizing. By using the Replay Figma Plugin, you can export your design tokens directly into the Replay environment. When you generate code from a video recording, Replay automatically maps those tokens to the corresponding UI elements, ensuring your code stays perfectly in sync with your design system.

Can AI agents use Replay to generate code?#

Yes. Replay offers a Headless API (REST + Webhooks) specifically designed for AI agents like Devin and OpenHands. These agents can programmatically submit a video recording to Replay and receive structured, tokenized React components in return. This allows AI agents to perform complex UI modernization tasks with surgical precision that would be impossible using raw LLMs alone.

How does Replay handle complex navigation and multi-page flows?#

Replay uses a "Flow Map" feature that detects navigation patterns within a video recording. By analyzing the temporal context, Replay understands how different screens relate to one another. It generates the necessary routing logic (e.g., React Router) and ensures that automated token mapping synchronizing is applied consistently across every page in the flow.

Is Replay suitable for enterprise-level legacy modernization?#

Replay is specifically designed for enterprise-scale technical debt. With features like SOC2 compliance, HIPAA readiness, and On-Premise availability, it meets the security requirements of large organizations. By reducing the manual effort of UI reconstruction from 40 hours to 4 hours per screen, it significantly lowers the risk and cost of large-scale legacy rewrites.


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