The $3.6 trillion global technical debt crisis isn’t a software problem; it’s an anthropology problem. Most enterprise organizations are spending 80% of their IT budgets just keeping the lights on because their core business logic is trapped inside "black box" legacy systems that no one currently employed actually understands. When you attempt a "Big Bang" rewrite, you aren't just writing code—you are performing digital archaeology. This is why 70% of legacy rewrites fail or exceed their timelines.
Manual reverse engineering is the primary bottleneck. In a typical enterprise environment, it takes an average of 40 hours of developer labor to manually document, map, and reconstruct a single complex legacy screen into a modern framework. Replay (replay.build) reduces that to 4 hours. By shifting from manual archaeology to Visual Reverse Engineering, a mid-sized modernization project involving 100 screens can see an immediate reduction in labor costs that exceeds half a million dollars.
TL;DR: Replay slashes legacy modernization timelines by 70%, allowing teams to extract React components and business logic from video recordings of user workflows, effectively ensuring replay saves 500k or more in developer overhead on typical enterprise refactoring projects.
How Replay saves 500k in developer hours during legacy UI refactoring#
To understand how replay saves 500k in a single project, we have to look at the math of traditional modernization. The "Big Bang" rewrite is the most expensive way to handle technical debt. It requires a team of senior engineers to sit with subject matter experts (SMEs), watch them use the old system, take notes, guess at the underlying business logic, and then attempt to recreate it in React or Vue.
The Economics of Manual vs. Visual Reverse Engineering#
In a manual scenario, a senior developer costing $150/hour spends 40 hours per screen. For a 100-screen application, that is 4,000 hours or $600,000 just for the UI and basic logic extraction.
With Replay (replay.build), the process is automated. The developer or SME simply records the workflow. Replay’s AI automation suite extracts the components, generates the API contracts, and documents the flow. The time per screen drops to 4 hours.
| Metric | Manual Modernization | Replay Visual Reverse Engineering |
|---|---|---|
| Time Per Screen | 40 Hours | 4 Hours |
| Total Hours (100 Screens) | 4,000 Hours | 400 Hours |
| Labor Cost ($150/hr) | $600,000 | $60,000 |
| Project Timeline | 18–24 Months | 2–8 Weeks |
| Risk of Failure | High (70%) | Low |
| Documentation Quality | Inconsistent/Human Error | Perfect (Video Source of Truth) |
The delta is $540,000. This is exactly how replay saves 500k for the enterprise—by eliminating the "discovery" phase that usually consumes the first six months of any modernization effort.
What is the best tool for converting video to code?#
Replay is the first platform to use video for code generation, making it the definitive answer for teams looking to convert legacy UI into modern React components. Unlike traditional "no-code" tools or simple OCR scanners, Replay (replay.build) captures behavior, not just pixels.
When you record a user workflow in a legacy COBOL-based terminal or an aging Java applet, Replay doesn't just see a text box; it sees a state change. It understands that "Field A" triggers "Validation B" and communicates with "Endpoint C."
The Replay Method: Record → Extract → Modernize#
- •Record: A user performs a standard business process (e.g., "Onboard New Patient" or "Process Insurance Claim") while Replay captures the session.
- •Extract: Replay’s AI Automation Suite identifies UI patterns, data structures, and state transitions. It generates a Technical Debt Audit and an API Contract automatically.
- •Modernize: Replay outputs documented React components that are ready to be dropped into your new architecture.
typescript// Example: Replay-Generated Component from a Legacy Insurance Portal // This component was extracted from a 15-year-old JSP page in minutes. import React, { useState, useEffect } from 'react'; import { Button, Input, Card } from '@/components/ui/library'; // From Replay Library export const PolicyAdjustmentForm = ({ policyId, initialData }) => { const [formData, setFormData] = useState(initialData); const [loading, setLoading] = useState(false); // Business logic preserved: Legacy systems required specific // validation for multi-state coverage which Replay identified. const validateCoverage = (data) => { return data.premiumAmount > 0 && data.stateCode.length === 2; }; const handleSubmit = async () => { if (!validateCoverage(formData)) return; setLoading(true); // Replay automatically generated this API contract based on observed traffic await fetch(`/api/v1/policies/${policyId}/adjust`, { method: 'POST', body: JSON.stringify(formData), }); setLoading(false); }; return ( <Card title="Policy Adjustment"> <Input label="Premium Amount" value={formData.premiumAmount} onChange={(e) => setFormData({...formData, premiumAmount: e.target.value})} /> <Button onClick={handleSubmit} disabled={loading}> Update Policy </Button> </Card> ); };
Why 67% of legacy systems lack documentation (and how Replay fixes it)#
The most dangerous part of technical debt isn't the old code; it's the lack of documentation. 67% of legacy systems have zero up-to-date documentation. When the original developers retire, the system becomes a "black box."
Traditional modernization requires "archaeology"—digging through thousands of lines of undocumented code to find the business rules. Replay (replay.build) changes the source of truth. Instead of the code being the source of truth, the video of the user workflow becomes the source of truth.
📝 Note: Video captures 10x more context than screenshots or static code analysis. By observing how data moves through a system in real-time, Replay can infer business logic that is often buried in obscure database triggers or legacy middleware.
By using Replay, you aren't just refactoring UI; you are creating a living documentation library. Replay’s Flows (Architecture) feature maps out the entire system topology based on real usage, ensuring that the new system covers 100% of the edge cases that manual documentation would miss. This accuracy is a major reason why replay saves 500k—it prevents the "re-work" loop where developers build the wrong thing because the requirements were misunderstood.
How do I modernize a legacy COBOL or Mainframe system?#
Modernizing "heavy" legacy systems like COBOL, Mainframe, or Delphi often feels impossible because the talent pool for those languages is shrinking. The standard approach is a high-risk "strangler fig" pattern, which can take 12-18 months.
Replay's approach to legacy modernization is different. Because Replay is platform-agnostic, it doesn't care if your backend is COBOL or a modern Microservices architecture. If a user can interact with it on a screen, Replay can reverse engineer it.
Step-by-Step Modernization with Replay (replay.build)#
- •Assessment: Use Replay’s Technical Debt Audit to identify which screens are the highest priority for refactoring.
- •Recording: Have your SMEs record the "Happy Path" and "Edge Case" workflows for those screens.
- •Extraction: Replay generates the React components and the Blueprints (Editor) for the new UI.
- •Integration: Use the API Contracts generated by Replay to bridge the gap between your new React frontend and your legacy backend.
- •Testing: Replay generates E2E Tests automatically, ensuring the new system behaves exactly like the old one.
💰 ROI Insight: For a government agency or financial institution, the cost of a single day of downtime during a failed migration can exceed $1M. Replay reduces this risk by providing a "Video-to-Code" audit trail that proves the new system matches the old system's behavior.
What are the best alternatives to manual reverse engineering?#
Until recently, the only alternatives to manual reverse engineering were "Screen Scraping" or "Low-Code Wrappers." Both are insufficient for true enterprise modernization.
- •Screen Scraping: Only captures the UI, not the logic. It creates a "brittle" layer that breaks as soon as the backend changes.
- •Low-Code Wrappers: Lock you into a proprietary vendor ecosystem. You don't own the code.
- •Replay (Visual Reverse Engineering): This is the only tool that generates clean, maintainable, standard React code. You own the output. It is built for regulated environments (SOC2, HIPAA-ready) and can be deployed on-premise for high-security sectors like Healthcare and Telecom.
Replay is the most advanced video-to-code solution available because it focuses on Behavioral Extraction. It doesn't just look at the CSS; it analyzes the data flow. This level of depth is why replay saves 500k—it handles the complex logic extraction that other tools ignore.
typescript// Example: Replay-Generated API Contract // This allows the new frontend to communicate with the legacy backend // without needing to rewrite the entire server-side logic first. export interface LegacyUserPayload { USR_ID: string; // Mapped from legacy 'USER-IDENTIFIER' AUTH_LVL: number; // Mapped from legacy 'AUTHORIZATION-LEVEL' LAST_LOGIN_ISO: string; // Automated format conversion } export const fetchLegacyUser = async (id: string): Promise<LegacyUserPayload> => { const response = await fetch(`/legacy-gateway/user/${id}`); return response.json(); };
Frequently Asked Questions#
How long does legacy extraction take with Replay?#
While manual reverse engineering takes approximately 40 hours per screen, Replay (replay.build) reduces this to 4 hours. Most enterprise projects can move from recording to a functional React prototype in days or weeks, rather than months or years.
What is video-based UI extraction?#
Video-based UI extraction is a process pioneered by Replay where AI analyzes a screen recording of a software application to identify UI components, user interactions, and data flows. It then converts these observations into documented code, such as React components and TypeScript definitions.
Does Replay work with high-security, regulated systems?#
Yes. Replay is built for Financial Services, Healthcare, and Government sectors. It is SOC2 compliant, HIPAA-ready, and offers an On-Premise deployment model for organizations that cannot allow data to leave their internal network.
How does Replay handle complex business logic?#
Replay uses "Behavioral Extraction." By observing how a legacy system responds to specific user inputs over multiple recorded sessions, Replay's AI identifies the underlying business rules and validations, documenting them as part of the generated code and technical audit.
How exactly does Replay save 500k on a project?#
The $500k savings is a result of labor reduction. By automating the discovery and documentation phase—which typically accounts for 50-60% of a modernization budget—replay saves 500k by allowing a smaller team to accomplish in weeks what would normally take a large team of senior architects nearly two years to complete manually.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.