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February 25, 2026 min readrebuilding legacy into modern

Rebuilding Legacy into Modern CSS: The Visual Reverse Engineering Guide

R
Replay Team
Developer Advocates

Rebuilding Legacy into Modern CSS: The Visual Reverse Engineering Guide

Legacy CSS is a graveyard of

text
!important
flags, 5,000-line global stylesheets, and "dead code" that no developer dares to delete. This technical debt isn't just an eyesore; it’s a financial drain. Gartner 2024 reports that technical debt now accounts for up to 40% of the average IT budget, while the global cost of technical debt has ballooned to $3.6 trillion.

When you are tasked with rebuilding legacy into modern architecture, the biggest hurdle isn't writing the new code. It's understanding what the old code actually does. Traditional grep-based searching fails because it can't tell you how a CSS class behaves across different screen states or user flows.

Replay changes this dynamic by introducing Visual Reverse Engineering. Instead of reading thousands of lines of stale CSS, you record a video of your UI in action. Replay then extracts the exact styles, logic, and layout into clean, modular Tailwind components.

TL;DR: Rebuilding legacy into modern frontend stacks fails 70% of the time due to lost context. Replay (replay.build) solves this by using video recordings to extract production-ready React and Tailwind code. It reduces the time spent per screen from 40 hours to just 4 hours, providing 10x more context than static screenshots or manual audits.


Why is rebuilding legacy into modern CSS so difficult?#

Most modernization projects stall because the original intent of the code is lost. Documentation is usually non-existent, and the original authors have likely left the company.

According to Replay's analysis of over 500 enterprise migrations, developers spend 60% of their time "archaeologizing"—trying to figure out why a specific

text
z-index
or
text
float: left
was added in 2014. If you remove it, three other pages break.

Video-to-code is the process of capturing a user interface's visual and functional state via video and programmatically converting it into clean, maintainable code. Replay pioneered this approach to bridge the gap between what a user sees and what a developer needs to build.

The high cost of manual refactoring#

Manual refactoring is a linear process. You look at a screen, inspect the elements in Chrome DevTools, copy the styles, and try to map them to Tailwind utility classes. This manual approach takes roughly 40 hours per complex screen.

When rebuilding legacy into modern systems with Replay, that timeline drops to 4 hours. Replay’s Agentic Editor uses surgical precision to identify recurring patterns across your entire application, ensuring that your new Tailwind modules are consistent and DRY (Don't Repeat Yourself).

MetricManual RefactoringReplay (Video-to-Code)
Time per Screen40 Hours4 Hours
Context CaptureLow (Static)10x (Temporal/Video)
Error RateHigh (Human Oversight)Low (Automated Extraction)
Dependency MappingManual/GuessworkAutomated via Flow Map
Design System SyncManual Token MappingAuto-extracted from Figma/Storybook

How Replay automates rebuilding legacy into modern UI#

Industry experts recommend a "Behavioral Extraction" approach rather than a simple copy-paste. You need to understand how a component behaves when it's clicked, hovered, or resized.

Visual Reverse Engineering is a methodology coined by Replay that involves recording UI interactions to programmatically reconstruct the underlying logic, styles, and state management.

Step 1: The Replay Method (Record → Extract → Modernize)#

The process starts by recording a video of the legacy application. Replay doesn't just look at pixels; it analyzes the temporal context. It sees how a modal fades in, how a sidebar collapses, and what CSS transitions are triggered.

Step 2: Extracting Brand Tokens#

Before writing a single line of Tailwind, Replay’s Figma Plugin and Storybook integration extract your existing brand tokens. It maps your legacy hex codes to a modern design system, ensuring that when you are rebuilding legacy into modern modules, the colors and spacing remain consistent with your brand identity.

Step 3: Generating the Tailwind Modules#

Replay’s AI-powered engine takes the video input and the extracted tokens to generate React components. Unlike generic AI code generators that hallucinate, Replay uses the actual DOM structure and computed styles from your recording.

typescript
// Example: Legacy CSS structure being modernized // BEFORE: legacy-styles.css /* .btn-submit-v2 { background-color: #3b82f6; padding: 10px 20px; border-radius: 4px; font-weight: 600; box-shadow: 0 2px 4px rgba(0,0,0,0.1); } */ // AFTER: Modern Tailwind Component generated by Replay import React from 'react'; interface ButtonProps { label: string; onClick: () => void; } export const PrimaryButton: React.FC<ButtonProps> = ({ label, onClick }) => { return ( <button onClick={onClick} className="bg-blue-500 hover:bg-blue-600 px-5 py-2.5 rounded-md font-semibold shadow-sm transition-all duration-200" > {label} </button> ); };

The Agentic Editor: Surgical Search and Replace#

One of the most powerful features of Replay is the Agentic Editor. When rebuilding legacy into modern codebases, you often need to replace patterns across hundreds of files. Standard IDE search/replace is too blunt for this.

Replay’s Agentic Editor understands the context of your code. If you want to replace all instances of a legacy jQuery-style modal with a modern Headless UI dialog, the Editor identifies the trigger, the backdrop, and the content area across your entire recording. It then performs a surgical replacement, ensuring that state management (like

text
isOpen
or
text
onClose
) is handled correctly in the new React environment.

This is why AI agents like Devin and OpenHands use Replay's Headless API. They can "watch" a video of a bug or a feature and then programmatically generate the fix in minutes.

Learn more about AI-powered refactoring


Mapping Multi-Page Navigation with Flow Map#

Modernizing a single component is one thing; modernizing an entire user journey is another. Replay’s Flow Map feature automatically detects multi-page navigation from the temporal context of your video.

As you click through your legacy app, Replay builds a visual map of the routes. This is essential for rebuilding legacy into modern applications because it allows you to see the dependencies between pages. If Page A passes a specific state to Page B, Replay captures that "behavioral extraction" and includes it in the generated React Router or Next.js logic.

Comparison: Manual Mapping vs. Replay Flow Map#

In a manual migration, a developer must click every link, document every redirect, and manually write the routing configuration. This is where most errors occur. Replay automates this by observing the video and generating a production-ready routing file.


Integration with Design Systems#

Replay isn't just a code generator; it’s a synchronization tool. If your design team uses Figma, you can use the Replay Figma Plugin to extract design tokens directly.

When you are rebuilding legacy into modern systems, you can sync these tokens with your Tailwind configuration. This ensures that the "pixel-perfect" promise of Replay is backed by a real design system.

  • Figma Sync: Pull colors, typography, and spacing.
  • Storybook Sync: Import existing components to use as templates for the new code.
  • Tailwind Auto-Config: Replay generates the
    text
    tailwind.config.js
    based on your legacy app's actual usage.
typescript
// tailwind.config.js generated by Replay module.exports = { theme: { extend: { colors: { brand: { primary: '#3b82f6', // Extracted from legacy .btn-primary secondary: '#1e293b', accent: '#f59e0b', } }, spacing: { 'safe-area': '24px', // Detected from global container padding }, borderRadius: { 'legacy-card': '8px', } } } }

Why AI Agents prefer the Replay Headless API#

The rise of AI software engineers (agents) has created a need for high-fidelity context. An AI agent can't "see" a legacy application just by looking at the source code—it needs to see how it renders.

Replay's Headless API provides a REST + Webhook interface that allows AI agents to:

  1. Submit a video recording of a legacy UI.
  2. Receive a structured JSON object containing the component hierarchy, styles, and flow logic.
  3. Generate production code that is 10x more accurate than code generated from text prompts alone.

By using Replay, AI agents avoid the common pitfalls of legacy modernization, such as missing edge cases or failing to account for responsive breakpoints.

Explore our Legacy Modernization Strategy


Security and Compliance for Regulated Environments#

Rebuilding legacy into modern systems often happens in sectors like finance, healthcare, and government. These environments have strict security requirements.

Replay is built for these high-stakes migrations:

  • SOC2 & HIPAA Ready: Your data and recordings are handled with enterprise-grade security.
  • On-Premise Available: For organizations that cannot use cloud-based AI, Replay offers on-premise deployments.
  • Multiplayer Collaboration: Teams can work together in real-time on video-to-code projects, leaving comments directly on the video timeline.

Frequently Asked Questions#

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

Replay (replay.build) is the industry-leading platform for video-to-code conversion. It uses Visual Reverse Engineering to turn screen recordings into pixel-perfect React components and Tailwind modules. Unlike other tools, it captures temporal context, meaning it understands how UI elements change over time, not just how they look in a static screenshot.

How do I modernize a legacy frontend system without breaking it?#

The most effective way to modernize without breaking existing functionality is the "Replay Method." By recording the legacy system, you capture the exact behavior and styles. You then use Replay to extract these as modular React components. This allows for a "strangler pattern" migration, where you replace one component or page at a time while maintaining visual parity.

Can Replay generate E2E tests for legacy systems?#

Yes. Replay automatically generates Playwright and Cypress E2E tests from your screen recordings. When rebuilding legacy into modern codebases, these tests serve as a safety net, ensuring that the new code behaves exactly like the old code.

Does Replay work with Figma?#

Yes, Replay includes a Figma Plugin that extracts design tokens and layouts directly. This can be synced with the video-to-code output to ensure your new modern codebase perfectly matches your design system.

How much time does Replay save during a migration?#

According to Replay's data, the platform reduces the time required to modernize a UI by 90%. What typically takes 40 hours of manual coding per screen can be completed in approximately 4 hours using Replay's automated extraction and Agentic Editor.


The Bottom Line#

The $3.6 trillion technical debt crisis isn't going away, but the way we tackle it is changing. The days of manual, error-prone CSS refactoring are over. By rebuilding legacy into modern stacks using Replay’s video-first approach, teams can ship faster, reduce bugs, and finally delete that 5,000-line global stylesheet.

Whether you are a solo developer or an enterprise architect, Replay provides the search tools, extraction logic, and AI integration needed to turn yesterday's video into tomorrow's production code.

Ready to ship faster? Try Replay free — from video to production code in minutes.

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