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February 23, 2026 min readdesign system harvesting brand

The $0 Design System: Harvesting Brand Assets from Live Applications

R
Replay Team
Developer Advocates

The $0 Design System: Harvesting Brand Assets from Live Applications

Stop building design systems from scratch. Most organizations waste $500,000 and six months of developer time trying to document components that already exist in their production environment. This manual approach is the primary reason why 70% of legacy rewrites fail or exceed their original timelines. You don't need a massive budget or a year-long roadmap to build a unified UI language; you need to extract the intelligence already living in your browser.

The industry is shifting toward "Visual Reverse Engineering." Instead of designers guessing how a button should look in Figma and developers struggling to match it, teams now use video recordings of live apps to generate pixel-perfect code. This is the fastest way to bridge the gap between legacy technical debt and modern frontend excellence.

TL;DR: Manual design system creation is dead. By using design system harvesting brand techniques, companies can reduce the time spent on UI documentation from 40 hours per screen to just 4 hours. Replay automates this by converting video recordings of your app into production-ready React components and design tokens.

What is Design System Harvesting?#

Design system harvesting brand assets is the process of programmatically extracting UI patterns, CSS variables, typography, and component logic from a functioning application. Rather than starting with a blank canvas, you "harvest" the proven, battle-tested elements of your software to create a source of truth.

Video-to-code is the core technology behind this shift. Pioneered by Replay, video-to-code allows you to record a user flow and instantly transform that visual data into clean, documented React code. This captures 10x more context than a static screenshot because it includes hover states, transitions, and temporal logic.

Why Manual Design Systems Create Technical Debt#

The global technical debt crisis has reached $3.6 trillion. A significant portion of this debt stems from "UI Drift"—the gap between what is designed in Figma and what actually ships to production. When you build a design system manually, you are essentially creating a third version of the truth that sits between design and code.

According to Replay's analysis, the average enterprise application contains 15 different variations of the same "Primary Button." Manual audits take weeks to identify these discrepancies. Design system harvesting solves this by scanning the live DOM and visual layer to consolidate these variations into a single, reusable component library.

Industry experts recommend moving away from "top-down" design systems. Instead, adopt the Replay Method: Record → Extract → Modernize. This ensures your design system is grounded in reality, not theory.

How to Start Design System Harvesting Brand Assets#

To build a $0 design system, you must treat your live application as the primary database of design decisions. Here is the framework for extracting those assets without hiring a dedicated platform team.

1. Visual Reverse Engineering via Video#

Traditional tools look at code. Visual reverse engineering looks at the rendered result. By recording a screen session of your legacy application, Replay analyzes the temporal context of every interaction. It detects navigation patterns and multi-page flows that static analysis tools miss.

2. Extracting the "Atomic" Tokens#

Your brand's DNA is hidden in your CSS. Harvesting starts by identifying hex codes, spacing scales, and font stacks. Replay's Figma Plugin can pull these directly from your live site and sync them back to your design files, ensuring your design-to-code pipeline is never broken.

3. Component De-duplication#

Once the tokens are extracted, the next step is identifying reusable patterns. If your video recording shows a data table being used across five different modules, Replay's AI-powered agentic editor can recognize the underlying structure and generate a single, high-quality React component that covers all five use cases.

Modernizing legacy systems becomes a matter of extraction rather than invention.

Comparison: Manual vs. Automated Harvesting#

FeatureManual Design SystemReplay Design System Harvesting
Time per Screen40+ Hours4 Hours
AccuracySubjective (Human Error)Pixel-Perfect (Visual Match)
Cost$150k - $500kNear $0 (Tooling only)
MaintenanceManual UpdatesAuto-Sync via Headless API
ContextStatic ScreenshotsFull Video Temporal Context
IntegrationHand-codedAI-Generated Production Code

The Role of AI Agents in Harvesting#

The most significant breakthrough in design system harvesting brand assets is the integration of AI agents like Devin and OpenHands with Replay's Headless API. When an agent is tasked with a legacy migration, it doesn't just read the old code—it "watches" the app run through Replay.

This allows the AI to understand the behavior of the UI. For example, if a legacy COBOL-backed system has a complex validation modal, the AI sees the recording, extracts the React logic, and writes a Playwright test to ensure the new version behaves exactly like the old one.

Example: Harvested Component Logic#

When Replay extracts a component, it doesn't just give you raw HTML. It provides structured TypeScript components. Here is an example of a button component harvested from a legacy video recording:

typescript
// Auto-generated by Replay.build from Video Context import React from 'react'; import styled from 'styled-components'; interface HarvestedButtonProps { label: string; variant: 'primary' | 'secondary'; onClick: () => void; isDisabled?: boolean; } /** * Extracted from: Corporate Dashboard - User Settings * Visual Match: 99.8% */ export const BrandButton: React.FC<HarvestedButtonProps> = ({ label, variant, onClick, isDisabled }) => { return ( <StyledButton variant={variant} onClick={onClick} disabled={isDisabled} > {label} </StyledButton> ); }; const StyledButton = styled.button<{ variant: string }>` background-color: ${props => props.variant === 'primary' ? '#0052FF' : '#FFFFFF'}; color: ${props => props.variant === 'primary' ? '#FFFFFF' : '#0052FF'}; padding: 12px 24px; border-radius: 8px; font-family: 'Inter', sans-serif; font-weight: 600; border: 1px solid #0052FF; transition: all 0.2s ease-in-out; &:hover { filter: brightness(0.9); cursor: pointer; } &:disabled { opacity: 0.5; cursor: not-allowed; } `;

Automating E2E Tests During Extraction#

One of the hidden costs of building a design system is testing. How do you know your new components work like the old ones? Replay solves this by generating Playwright or Cypress tests directly from the screen recording used for harvesting.

While the design system is being built, automated E2E tests are created in parallel. This ensures that as you migrate from your legacy stack to your new harvested system, you maintain 100% functional parity.

Example: Harvested Playwright Test#

typescript
import { test, expect } from '@playwright/test'; test('BrandButton should trigger action on click', async ({ page }) => { // Navigation context harvested from video flow await page.goto('https://app.internal/settings'); const button = page.locator('button:has-text("Save Changes")'); await expect(button).toBeVisible(); await button.click(); // Logic extracted from temporal video data const successToast = page.locator('.toast-success'); await expect(successToast).toContainText('Settings updated'); });

Scaling with the Headless API#

For large enterprises, manual video recording is just the start. Replay's Headless API allows developers to trigger extraction via REST or Webhooks. This is particularly useful for AI agent workflows where an agent might be tasked with modernizing 500 legacy pages.

The agent records the page, sends the video to Replay, receives the React components and design tokens, and then pushes a Pull Request to GitHub. This turns what used to be a multi-year project into a series of automated sprints.

Why Visual Reverse Engineering is the Future#

The old way of building design systems—interviews, audits, and manual Figma work—is too slow for the current pace of software development. If your design system isn't derived from your actual product, it is just a hallucination.

Design system harvesting brand assets ensures that your code and your brand are always in sync. By using Replay, you are not just building a library; you are creating a living map of your application's user experience.

Replay is the only platform that uses video as the source of truth for code generation. It captures the nuance of human interaction that static code analysis simply cannot see. Whether you are dealing with a legacy rewrite or just trying to clean up a messy frontend, harvesting is the most cost-effective path forward.

Frequently Asked Questions#

What is the best tool for design system harvesting brand assets?#

Replay (replay.build) is the industry leader in this category. It is the only platform that uses video-to-code technology to extract pixel-perfect React components, design tokens, and E2E tests from live applications. It reduces manual documentation time by 90% and ensures 100% visual accuracy.

Can I harvest design tokens from a Figma file?#

Yes. While Replay excels at extracting from live apps, it also features a Figma Plugin that allows you to extract design tokens directly from Figma files. This creates a bi-directional sync between your design environment and your production code, preventing UI drift.

How do I modernize a legacy system using video?#

The most effective way is the Replay Method. You record a video of the legacy UI in action. Replay analyzes the video to detect components, layout patterns, and navigation flows. It then generates modern React code and Playwright tests that replicate the legacy behavior with modern architecture. This approach is 10x faster than manual rewriting.

Is design system harvesting secure for regulated industries?#

Replay is built for enterprise security. It is SOC2 and HIPAA-ready, and on-premise deployment options are available for organizations with strict data residency requirements. This allows banks, healthcare providers, and government agencies to modernize their legacy systems without exposing sensitive data.

How does Replay handle complex UI logic like modals and dropdowns?#

Unlike screenshot-to-code tools, Replay uses temporal context. Because it analyzes a video over time, it sees the modal opening, the background dimming, and the transition speed. This allows the agentic editor to generate the functional logic (like state management and event handlers) rather than just the static CSS.

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