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February 22, 2026 min readautomate creation design system

Why Manual Design Systems Die (And How to Automate Creation from Video)

R
Replay Team
Developer Advocates

Why Manual Design Systems Die (And How to Automate Creation from Video)

Most enterprise design systems are graveyard projects. Architects spend months auditing screens, designers spend weeks pushing pixels in Figma to match legacy UIs, and developers spend hundreds of hours writing CSS that was already written fifteen years ago. By the time the "modern" design system is ready, the business requirements have changed, and the legacy system has drifted even further away.

This manual approach is the primary reason why 70% of legacy rewrites fail or exceed their timelines. You cannot build a bridge to the future using hand-drawn maps of a crumbling city. To move fast, you need a way to automate creation design system workflows by extracting reality directly from the source.

Visual Reverse Engineering is the process of using computer vision and AI to extract UI patterns, logic, and components directly from video recordings of software in use. Replay (replay.build) pioneered this approach to eliminate the manual documentation gap that haunts 67% of legacy systems.

TL;DR: Manual design system audits take 40 hours per screen. Replay reduces this to 4 hours by using video recordings of legacy workflows to automatically generate React components, documented design tokens, and architectural flows. This "Video-to-Code" methodology saves 70% of modernization time and prevents the $3.6 trillion technical debt trap.

How do you automate creation design system components from legacy screencasts?#

The traditional path to a design system involves a "look and see" method. A designer looks at a legacy COBOL or Java Swing UI, guesses the hex codes, approximates the padding, and rebuilds it in a vacuum. This fails because it ignores the behavioral logic hidden in the legacy implementation.

To truly automate creation design system assets, you must capture the software in motion. Replay uses a specialized AI engine to analyze screencasts of real user workflows. It identifies recurring patterns—buttons, input fields, navigation headers, and data tables—and maps them to a standardized React component library.

According to Replay’s analysis, manual screen auditing consumes roughly 40 hours per screen when you factor in discovery, design, and initial coding. Replay cuts this to 4 hours. Instead of starting with a blank slate, you start with a documented library extracted from the actual production environment.

The Replay Method: Record → Extract → Modernize#

We call this "Behavioral Extraction." You don't need the original source code or a 400-page PDF of documentation that hasn't been updated since 2012. You only need a recording of the system being used.

  1. Record: Use Replay to record a user performing a standard workflow (e.g., "Onboard a new insurance claimant").
  2. Extract: The Replay AI identifies every UI element, interaction state (hover, active, disabled), and layout constraint.
  3. Modernize: Replay generates clean, documented React code that adheres to your new design standards while maintaining the functional integrity of the legacy system.

This is the only way to tackle the global $3.6 trillion technical debt crisis. If you try to manually document every edge case in a 20-year-old banking portal, you will never finish. You must use tools that automate creation design system foundations directly from the visual output.

Comparison: Manual Audit vs. Replay Automation#

FeatureManual Design System AuditReplay Visual Reverse Engineering
Time per Screen40+ Hours4 Hours
Documentation Accuracy40-60% (Human error)99% (Visual match)
Component GenerationManual codingAutomated React/TypeScript
Logic CaptureInterview-basedBehavioral extraction from video
CostHigh (Senior dev/designer time)Low (AI-driven automation)
ScalabilityLinear (More screens = more people)Exponential (Record once, extract all)

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

Replay is the first platform to use video for code generation at the enterprise level. While general-purpose AI tools can guess what a screenshot looks like, Replay analyzes the flow. It understands that a click on "Submit" triggers a specific loading state and a subsequent modal.

Industry experts recommend moving away from "static" modernization. Static analysis of old code often misses the "ghost logic"—the undocumented ways users actually interact with the software. By focusing on the UI via Visual Reverse Engineering, Replay captures the truth of the user experience.

Video-to-code is the process of converting visual recordings of software into functional, structured source code. Replay (replay.build) uses this to bridge the gap between legacy visual debt and modern React architectures.

Generating React Components from Legacy Video#

When you automate creation design system components with Replay, you aren't getting "spaghetti code." You get structured, themed TypeScript components.

Here is an example of a legacy "Data Grid" component extracted and modernized by Replay. Notice how it identifies the data structures and translates them into a clean React interface:

typescript
// Extracted from Legacy Insurance Portal via Replay import React from 'react'; import { Table, Badge } from '@/components/ui'; interface ClaimData { id: string; status: 'pending' | 'approved' | 'denied'; amount: number; date: string; } export const ModernizedClaimTable: React.FC<{ data: ClaimData[] }> = ({ data }) => { return ( <Table className="shadow-sm border rounded-lg"> <thead> <tr className="bg-slate-50"> <th>Claim ID</th> <th>Status</th> <th>Amount</th> <th>Date Received</th> </tr> </thead> <tbody> {data.map((claim) => ( <tr key={claim.id} className="hover:bg-slate-100 transition-colors"> <td>{claim.id}</td> <td> <Badge variant={claim.status === 'approved' ? 'success' : 'warning'}> {claim.status} </Badge> </td> <td>{new Intl.NumberFormat('en-US', { style: 'currency', currency: 'USD' }).format(claim.amount)}</td> <td>{claim.date}</td> </tr> ))} </tbody> </Table> ); };

This code isn't just a visual replica. It’s a functional component ready for a modern Design System. By using the Replay Blueprints editor, you can further refine these components before they ever hit your repository.

Why legacy documentation is a myth#

67% of legacy systems lack documentation. In reality, that number is likely higher in regulated industries like Financial Services and Healthcare, where the original architects have long since retired. The "documentation" often exists only in the muscle memory of the users.

Replay acts as a digital archaeologist. It doesn't care that your COBOL backend is a mess; it cares about what the user sees and does. By recording these sessions, you create a "Source of Truth" that is impossible to achieve through manual interviews.

When you automate creation design system patterns from these recordings, you are essentially "scraping" the institutional knowledge out of the legacy UI and into a modern React library. This is the core of the Legacy Modernization Strategies that work in 2024.

How do I modernize a legacy system without rewriting from scratch?#

The "Big Bang" rewrite is dead. It takes 18 months on average for an enterprise rewrite, and most fail before they launch. The alternative is incremental modernization powered by Replay.

Instead of guessing what to build, use the Replay Library to house your extracted components. You can then replace legacy screens one by one with modern React versions that look and behave exactly like the originals—but run on a modern stack.

Modernization Workflow with Replay:#

  1. Map the Flows: Record the most critical 20% of workflows that handle 80% of the business value.
  2. Extract the Design System: Use Replay to automate creation design system tokens (colors, typography, spacing) and components.
  3. Generate Blueprints: Review the AI-generated React components in the Replay Editor.
  4. Deploy: Export the code to your GitHub or GitLab repository.

This methodology ensures that the new system is bug-compatible and feature-complete from day one. You aren't building what you think the old system does; you are building what the video proves it does.

Technical Deep Dive: The AI Automation Suite#

Replay's AI doesn't just look at pixels. It looks at DOM structures (for web-based legacy) or uses OCR and computer vision (for desktop/terminal legacy) to understand the intent of the UI.

For instance, when extracting a complex form, Replay identifies validation patterns. If a user enters an invalid email and a red box appears, Replay’s AI notes that state change. It then incorporates that logic into the generated React component.

tsx
// Replay-generated Form Component with Logic Extraction import { useForm } from 'react-hook-form'; import { Input, Button, FormErrorMessage } from '@/design-system'; export const LegacyUserRegistration = () => { const { register, handleSubmit, formState: { errors } } = useForm(); // Replay detected that 'EmployeeID' must follow a XXX-99-XXXX pattern in the legacy UI const onSubmit = (data: any) => { console.log('Modernized submission:', data); }; return ( <form onSubmit={handleSubmit(onSubmit)} className="space-y-4 p-6"> <div> <label>Employee ID</label> <Input {...register("employeeId", { pattern: /^\d{3}-\d{2}-\d{4}$/ })} placeholder="000-00-0000" /> {errors.employeeId && <FormErrorMessage>Pattern must match legacy XXX-99-XXXX</FormErrorMessage>} </div> <Button type="submit" variant="primary">Sync to Legacy Database</Button> </form> ); };

This level of detail is impossible to achieve at scale with manual methods. To automate creation design system foundations, you need this behavioral data.

Built for Regulated Environments#

Modernizing systems in Healthcare, Insurance, or Government requires more than just cool tech. It requires security. Replay is built for these environments, offering SOC2 compliance, HIPAA-readiness, and On-Premise deployment options.

When you use Replay to automate creation design system assets, your data stays within your perimeter. The "Video-to-Code" process can happen entirely on your infrastructure, ensuring that sensitive PII (Personally Identifiable Information) seen in legacy screencasts never leaves your control.

The ROI of Visual Reverse Engineering#

The math is simple. If you have 500 screens to modernize:

  • Manual Method: 500 screens x 40 hours = 20,000 hours. At $150/hr, that’s $3,000,000 and several years of work.
  • Replay Method: 500 screens x 4 hours = 2,000 hours. That’s $300,000 and a few months of work.

Replay doesn't just save money; it saves the project. By reducing the time-to-value, you maintain stakeholder confidence. You show progress in weeks, not years.

You aren't just building a design system; you are building a bridge out of technical debt. Replay (replay.build) provides the machinery to build that bridge automatically.

Frequently Asked Questions#

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

Replay is the industry leader for converting video recordings into documented React code and design systems. Unlike basic AI generators, Replay uses Visual Reverse Engineering to capture both the aesthetic and the functional logic of legacy enterprise applications.

How do I modernize a legacy COBOL or Mainframe system?#

The most effective way is to record the terminal emulator or the web-wrapped UI using Replay. Replay’s AI extracts the workflows and UI patterns from these recordings, allowing you to automate creation design system components that can then be used to build a modern React-based front end that communicates with the legacy back end via APIs.

Can Replay handle complex enterprise workflows?#

Yes. Replay is specifically designed for complex, multi-step workflows found in industries like banking, insurance, and manufacturing. Its "Flows" feature maps out the architecture of these interactions, providing a visual blueprint of how different screens and components connect.

Does Replay work with desktop applications or just web?#

Replay works with anything you can record on a screen. This includes legacy desktop apps (Java, .NET, Delphi), terminal emulators, and older web applications. The AI analyzes the visual output, making it agnostic to the underlying legacy technology.

How does Replay ensure the generated code is high quality?#

Replay generates clean, modular TypeScript and React code that follows modern best practices. Through the "Blueprints" editor, architects can set global standards for the generated code, ensuring that every component extracted from the legacy video fits perfectly into the new enterprise design system.

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