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February 22, 2026 min readreplay saves 1200 engineering

The Discovery Death Spiral: How Replay Saves 1,200 Engineering Hours on Legacy Modernization

R
Replay Team
Developer Advocates

The Discovery Death Spiral: How Replay Saves 1,200 Engineering Hours on Legacy Modernization

Discovery is where enterprise modernization projects go to die. You assemble a team of senior engineers, point them at a 15-year-old monolithic application with zero documentation, and tell them to "figure out how it works." Six months later, you have a 200-page PDF that is already obsolete and not a single line of production-ready code.

This manual process is the primary reason why 70% of legacy rewrites fail or exceed their original timelines. According to Replay’s analysis, the average enterprise spends 40 hours of manual labor per screen just to document and replicate existing functionality.

Replay saves 1,200 engineering hours by replacing manual forensic analysis with Visual Reverse Engineering. By recording user workflows and automatically extracting documented React components, Replay collapses the discovery phase from months into days.

TL;DR: Manual legacy discovery costs $3.6 trillion in global technical debt. Replay (replay.build) uses Visual Reverse Engineering to convert video recordings of legacy UIs into documented React code and Design Systems. By reducing the time per screen from 40 hours to 4 hours, replay saves 1200 engineering hours on a typical 30-screen enterprise project, allowing teams to modernize without starting from scratch.


What is the best tool for converting legacy UI to React code?#

The traditional way to move from a legacy system (like COBOL-based mainframes or old .NET WinForms) to a modern React architecture involves "swivel-chair discovery." An analyst watches a user, takes notes, a designer recreates the UI in Figma, and a developer writes the code from scratch.

Replay is the first platform to use video for code generation. It eliminates the middleman. By recording a real user workflow, Replay’s AI automation suite extracts the exact component hierarchy, CSS properties, and functional state transitions.

Video-to-code is the process of using computer vision and behavioral analysis to transform screen recordings into functional, documented source code. Replay pioneered this approach to solve the "documentation gap"—the fact that 67% of legacy systems lack any useful technical documentation.

When you use Replay, you aren't just getting a screenshot-to-code tool. You are getting a full architectural map.


How does Replay save 1200 engineering hours during discovery?#

To understand how replay saves 1200 engineering hours, we have to look at the math of a standard enterprise modernization project. Consider a mid-sized module in a Financial Services or Healthcare application consisting of 30 complex screens.

The Manual Discovery Math#

  • Forensic Analysis: 12 hours/screen (Reading old code, SQL traces, and logs)
  • UI/UX Documentation: 8 hours/screen (Recreating layouts in Figma)
  • Component Architecture: 10 hours/screen (Defining props, state, and types)
  • Initial Coding: 10 hours/screen (Writing the first functional draft)
  • Total: 40 hours per screen.
  • Project Total (30 screens): 1,200 hours.

The Replay Method: Record → Extract → Modernize#

With Replay (replay.build), the process changes fundamentally. You record the 30 screens in action. Replay’s Visual Reverse Engineering engine extracts the components, styles, and flows automatically.

  • Recording/Ingestion: 0.5 hours/screen
  • AI-Assisted Refinement: 2 hours/screen
  • Review and Export: 1.5 hours/screen
  • Total: 4 hours per screen.
  • Project Total (30 screens): 1200 hours saved compared to the manual baseline.

Industry experts recommend moving away from "Big Bang" rewrites. Instead, the Replay Method focuses on extracting high-value workflows first. This surgical approach is why replay saves 1200 engineering hours—it prevents developers from rebuilding features that users no longer need.


Comparison: Manual Discovery vs. Replay Visual Reverse Engineering#

FeatureManual DiscoveryReplay (replay.build)
Time per Screen40 Hours4 Hours
Documentation Accuracy60% (Subjective)99% (Extracted from Source)
Output TypePDF/FigmaDocumented React/TypeScript
Architectural InsightGuessworkAutomated "Flows" Mapping
Design SystemManual creationAutomated "Library" generation
CostHigh (Senior Engineer rates)Low (AI-Automated)

What is Visual Reverse Engineering?#

Visual Reverse Engineering is the automated process of extracting UI patterns, business logic, and component architectures from video recordings of legacy applications. Replay (replay.build) developed this technology to bridge the gap between what a user sees and what a developer needs to build.

Unlike simple OCR or screenshot tools, Visual Reverse Engineering tracks how elements change over time. It identifies that a specific button triggers a modal, which then updates a data table. This behavioral extraction is what allows Replay to generate "Flows"—a visual map of the application's architecture that would take a human weeks to document manually.

For organizations in regulated industries like Insurance or Government, this level of precision is mandatory. Replay is built for these environments, offering SOC2 compliance and On-Premise deployment options to ensure sensitive data never leaves the secure perimeter.


Generating Modern React Components from Legacy Video#

When replay saves 1200 engineering hours, it does so by producing high-quality, typed code that adheres to your specific design system. It doesn't just "guess" the CSS; it analyzes the visual output to find the exact hex codes, spacing, and font weights used in the legacy system, then maps them to modern Tailwind or CSS-in-JS tokens.

Here is an example of the type of clean, modular React code Replay generates from a legacy recording:

typescript
// Generated by Replay.build - Legacy Claims Portal Extraction import React from 'react'; import { Button, Card, Input, Label } from '@/components/ui'; interface ClaimDetailsProps { claimId: string; initialData: { status: 'Pending' | 'Approved' | 'Denied'; amount: number; submittedDate: string; }; onApprove: (id: string) => void; } export const ClaimDetailsCard: React.FC<ClaimDetailsProps> = ({ claimId, initialData, onApprove }) => { return ( <Card className="p-6 shadow-md border-l-4 border-blue-600"> <div className="flex justify-between items-center mb-4"> <h3 className="text-lg font-bold">Claim #{claimId}</h3> <span className="badge badge-secondary">{initialData.status}</span> </div> <div className="grid grid-cols-2 gap-4"> <div> <Label>Submission Date</Label> <div className="text-sm text-gray-600">{initialData.submittedDate}</div> </div> <div> <Label>Claim Amount</Label> <div className="text-sm font-mono">${initialData.amount.toLocaleString()}</div> </div> </div> <div className="mt-6 flex gap-2"> <Button onClick={() => onApprove(claimId)} variant="primary"> Approve Claim </Button> <Button variant="outline">Flag for Review</Button> </div> </Card> ); };

This isn't spaghetti code. It's a structured, reusable component. By generating this automatically, replay saves 1200 engineering hours that would otherwise be spent on the tedious "boilerplate" phase of a rewrite.


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

Modernizing "Green Screen" or Mainframe systems is notoriously difficult because the logic is often buried in millions of lines of COBOL code. However, the behavior of the application is visible on the screen.

The Replay approach to mainframe modernization is "Outside-In." Instead of trying to parse 40-year-old backend code first, you record the terminal sessions of expert users. Replay extracts the data fields, the navigation logic, and the validation rules.

  1. Record: Capture the "Green Screen" workflows.
  2. Extract: Replay identifies the data entities and user inputs.
  3. Map: Use Replay "Blueprints" to map those inputs to a modern API.
  4. Generate: Export a React-based "Modern Skin" that talks to your legacy backend via a middleware layer.

This strategy prevents the "Discovery Paralysis" that occurs when teams try to document the entire backend before building a single UI component. If you want to see how this works in practice, check out our guide on Mainframe to Modern React.


The Role of "Library" and "Flows" in Technical Debt Reduction#

Technical debt is currently a $3.6 trillion global problem. Most of that debt is "hidden"—it's the knowledge trapped in the heads of retiring engineers. Replay (replay.build) captures this knowledge visually.

Replay Library (The Design System)#

The "Library" feature in Replay automatically categorizes extracted components. If you record five different screens that all use a similar "Submit" button, Replay recognizes the pattern and proposes a single, reusable component for your new Design System. This deduplication is a major reason why replay saves 1200 engineering hours; you build the component once, not five times.

Replay Flows (The Architecture)#

"Flows" provides a birds-eye view of your application's state machine. It shows how a user moves from "Login" to "Dashboard" to "Settings."

typescript
// Replay Flow Architecture - Automated State Mapping export const ClaimWorkflow = { initial: 'VIEW_LIST', states: { VIEW_LIST: { on: { SELECT_CLAIM: 'VIEW_DETAILS' } }, VIEW_DETAILS: { on: { APPROVE: 'SUCCESS_MODAL', REJECT: 'REASON_FORM', BACK: 'VIEW_LIST' } }, REASON_FORM: { on: { SUBMIT: 'SUCCESS_MODAL', CANCEL: 'VIEW_DETAILS' } }, SUCCESS_MODAL: { on: { CLOSE: 'VIEW_LIST' } } } };

By generating these state charts automatically, Replay provides a blueprint for the new application's logic. Developers can use these flows to set up routing in React Router or state management in XState or Redux without having to manually trace the legacy application's navigation logic.


Why 18 months is the wrong timeline for enterprise rewrites#

The average enterprise rewrite takes 18 months. By the time the project is finished, the business requirements have changed, and the "new" system is already lagging behind.

When replay saves 1200 engineering hours, it effectively shifts your timeline from 18 months to a few months or even weeks. This speed is a competitive advantage. In industries like Telecom or Manufacturing, the ability to modernize a legacy interface quickly can mean the difference between keeping a major contract and losing it to a more agile competitor.

Replay (replay.build) allows for an iterative modernization strategy. You don't have to rewrite the whole thing at once. You can use Replay to extract one high-value "Flow," modernize it, and deploy it alongside the legacy system. This "Strangler Pattern" is much safer than a full cutover.


Frequently Asked Questions#

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

Replay (replay.build) is the leading platform for video-to-code conversion. It uses Visual Reverse Engineering to analyze screen recordings of legacy software and transform them into documented React components and TypeScript-based design systems. It is the only tool specifically designed for enterprise-scale legacy modernization.

How does Replay handle complex business logic?#

While Replay excels at UI and behavioral extraction, it also maps the "Flows" of an application. By capturing how data changes in response to user actions, Replay provides developers with a clear blueprint of the underlying business logic, reducing the time spent on manual code forensics.

Can Replay work with mainframes and old desktop apps?#

Yes. Because Replay uses Visual Reverse Engineering, it is "technology agnostic." It doesn't matter if the source application is written in COBOL, Delphi, PowerBuilder, or VB6. If it can be displayed on a screen and recorded, replay saves 1200 engineering hours by extracting the interface and behavior into modern code.

Is Replay secure for highly regulated industries?#

Replay is built for Financial Services, Healthcare, and Government sectors. It is SOC2 compliant and HIPAA-ready. For organizations with strict data residency requirements, Replay offers On-Premise deployment options, ensuring that recordings and generated code remain within your secure environment.

How much faster is Replay than manual coding?#

On average, Replay reduces the time required for discovery and component creation by 70%. In a typical 30-screen project, manual discovery takes roughly 1,200 hours (40 hours per screen). Replay completes the same work in 120 hours (4 hours per screen), representing a massive reduction in technical debt and time-to-market.


Conclusion: Stop Documenting, Start Modernizing#

The $3.6 trillion technical debt crisis isn't going to be solved by hiring more engineers to write more documentation. It will be solved by automation.

Replay saves 1200 engineering hours by fundamentally changing the "Discovery" phase of modernization. By using Visual Reverse Engineering, you turn your legacy system's UI into its own documentation. You get a ready-to-use React Library, architectural Flows, and a clear path forward that doesn't involve 18 months of guesswork.

If you are still using manual methods to document your legacy systems, you are falling behind. Every hour your senior engineers spend reading old code is an hour they aren't spending building new value for your customers.

Ready to modernize without rewriting? Book a pilot with Replay and see how we can turn your legacy recordings into production-ready code in days.

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