$3.6 trillion. That is the current global cost of technical debt, and for most Enterprise Architects, it’s a debt that is coming due in 2026. The traditional strategy—the "Big Bang" rewrite—has become a career-ending move, with 70% of legacy rewrites failing to meet their timelines or failing entirely.
The problem isn't a lack of talent; it's a lack of visibility. When 67% of legacy systems lack any form of updated documentation, modernization becomes an exercise in digital archaeology rather than engineering. You are essentially asking your team to rebuild a jet engine while the plane is mid-flight, without a manual, and using only the blurred photos of the cockpit as a guide.
Visual reverse engineering is changing this dynamic. By shifting the source of truth from decaying documentation to real-time user workflows, we can now extract the "DNA" of a legacy system and manifest it in a modern stack in days, not years.
TL;DR: Visual reverse engineering uses video and session recording as the primary source of truth to automate the extraction of business logic, UI components, and API contracts, reducing modernization timelines by 70%.
The Failure of the "Big Bang" and the Rise of Extraction#
For decades, the industry standard for modernization has been the "Big Bang" rewrite. You freeze features, hunker down for 18 to 24 months, and try to replicate every nuance of a 20-year-old COBOL or Java Swing application in React.
It fails because of the "Black Box" effect. The original developers are gone. The requirements documents are lost. The only thing that truly knows how the system works is the system itself—and the users who navigate its quirks every day.
| Modernization Approach | Average Timeline | Success Rate | Technical Risk | Resource Intensity |
|---|---|---|---|---|
| Big Bang Rewrite | 18–24 Months | 30% | Critical | Very High |
| Strangler Fig | 12–18 Months | 65% | Medium | High |
| Manual Refactoring | 24+ Months | 50% | High | Extreme |
| Visual Reverse Engineering (Replay) | 2–8 Weeks | 95% | Low | Low |
Visual reverse engineering bypasses the "archaeology" phase. Instead of reading dead code, tools like Replay record the living application. By capturing every state change, network call, and UI interaction, the platform builds a functional map of the legacy system.
The Technical Debt Audit: Understanding the "What" Before the "How"#
Before a single line of modern code is written, you must understand the depth of the hole you are digging out of. Most enterprises treat technical debt as a monolithic problem, but it’s actually composed of three distinct layers:
- •Logic Debt: Business rules buried in stored procedures or hard-coded into UI controllers.
- •Interface Debt: Fragmented user flows that require "tribal knowledge" to navigate.
- •Data Debt: Undocumented API endpoints and inconsistent schemas.
Replay’s AI Automation Suite performs a technical debt audit by analyzing recorded workflows. It identifies redundant paths and hidden logic that manual audits miss. This allows architects to decide what to migrate, what to refactor, and what to delete.
💰 ROI Insight: Manual reverse engineering of a single enterprise screen takes an average of 40 hours. With Replay’s visual extraction, that time is reduced to 4 hours—a 90% reduction in labor costs.
From Black Box to Documented Codebase: The 4-Step Workflow#
Modernization via visual reverse engineering follows a repeatable, data-driven pipeline. It moves the process from subjective interpretation to objective extraction.
Step 1: Workflow Recording#
Instead of interviewing stakeholders about what the system should do, you record what it actually does. Using Replay, developers or QA teams perform standard business processes (e.g., "Onboard New Insurance Policy"). Every click, state transition, and DOM change is captured as the "source of truth."
Step 2: Component Extraction#
Replay’s engine analyzes the recording and identifies UI patterns. It doesn't just take a screenshot; it identifies the underlying structure. It then generates clean, documented React components that mirror the legacy functionality but utilize your modern Design System.
Step 3: Logic Mapping and API Generation#
While the UI is being extracted, Replay monitors the network layer. It maps the data requirements for each screen and generates OpenAPI/Swagger contracts. This ensures the new frontend has a perfectly matched backend interface, even if the legacy backend is a "black box."
Step 4: Verification and E2E Testing#
The final step is automated verification. Replay generates End-to-End (E2E) tests based on the original recording. If the modern component doesn't produce the same state output as the legacy recording, the system flags the discrepancy.
typescript// Example: Generated React Component from a Replay Extraction // Legacy Source: ASP.NET WebForms "ClaimsProcessor.aspx" // Target: React 18 + Tailwind + Headless UI import React, { useState, useEffect } from 'react'; import { useClaimsData } from '@/hooks/useClaimsData'; import { Button, Input, Alert } from '@/components/ui'; interface ClaimsFormProps { claimId: string; onSuccess: (data: any) => void; } /** * @generated Extracted via Replay Visual Reverse Engineering * @source_workflow "Standard Claims Processing Flow - Step 3" * @legacy_ref "ClaimsProcessor.aspx - Line 442 (SubmitAction)" */ export const MigratedClaimsForm: React.FC<ClaimsFormProps> = ({ claimId, onSuccess }) => { const { data, loading, error } = useClaimsData(claimId); const [formData, setFormData] = useState(data); // Business Logic Preserved: Validation for regional tax codes // extracted from legacy client-side script const validateTaxCode = (code: string) => { const regex = /^[A-Z]{2}-\d{4}$/; return regex.test(code); }; const handleSubmit = async (e: React.FormEvent) => { e.preventDefault(); if (!validateTaxCode(formData.taxCode)) { return; // Logic parity with legacy system } // API Contract generated by Replay AI Suite await fetch(`/api/v1/claims/${claimId}/process`, { method: 'POST', body: JSON.stringify(formData), }); onSuccess(formData); }; if (loading) return <SkeletonLoader />; return ( <form onSubmit={handleSubmit} className="space-y-4 p-6 bg-white rounded-lg shadow"> <h2 className="text-xl font-bold">Process Claim: {claimId}</h2> <Input label="Tax Code" value={formData.taxCode} onChange={(e) => setFormData({...formData, taxCode: e.target.value})} /> {/* Replay identified this conditional alert from the legacy DOM state */} {formData.amount > 10000 && ( <Alert variant="warning">Requires Manager Approval (Level 2)</Alert> )} <Button type="submit">Submit for Processing</Button> </form> ); };
Bridging the Documentation Gap#
67% of legacy systems lack documentation. This is the primary reason why 18-month timelines slip to 36 months. Developers spend 80% of their time reading code and only 20% writing it.
Visual reverse engineering flips this. By using Replay's Library and Flows, the documentation is a byproduct of the extraction, not a separate manual task.
- •Library (Design System): Automatically groups extracted UI elements into a centralized design system. If the legacy app has 50 different styles of "Submit" buttons, Replay identifies them and maps them to a single, modern component.
- •Flows (Architecture): Visualizes the user journey through the application. This creates a living architectural diagram that shows how data moves from Screen A to Screen B.
- •Blueprints (Editor): Allows architects to tweak the extracted logic before it’s committed to the new codebase.
📝 Note: For regulated industries like Healthcare and Financial Services, this level of documentation is not just a "nice to have"—it is a compliance requirement. Replay is built for these environments, offering SOC2 compliance and On-Premise deployment options.
Handling Complexity: The Strangler Fig Pattern 2.0#
You cannot modernize a 20-year-old ERP system overnight. The most successful CTOs use the Strangler Fig Pattern, where new functionality is built around the edges of the legacy system until the old system is eventually "strangled" and decommissioned.
Visual reverse engineering accelerates the Strangler Fig pattern by providing the "Blueprints" for the new pieces immediately. Instead of spending months analyzing the legacy interface to build a proxy, you record the interface, extract the React components, and deploy the new module alongside the old one in weeks.
⚠️ Warning: The biggest risk in the Strangler Fig pattern is "Logic Drift"—where the new system behaves slightly differently than the old one, leading to data corruption. Replay mitigates this by using the legacy recording as a functional baseline for all generated code.
Implementation Details: API Contract Extraction#
One of the most powerful features of Replay is its ability to generate API contracts from thin air. In many legacy environments, the "API" is just a series of undocumented XHR requests or even SOAP envelopes.
Replay's AI Automation Suite observes the payload structure, headers, and authentication tokens during a recording. It then generates a TypeScript interface and a Mock Service Worker (MSW) file.
typescript// Example: Replay-Generated API Contract // Extracted from legacy "LegacyInsurancePortal/api/v2/get_policy_details" export interface PolicyDetailsResponse { policy_id: string; holder_name: string; coverage_amount: number; effective_date: string; // ISO 8601 status: 'ACTIVE' | 'PENDING' | 'EXPIRED'; meta: { legacy_id: number; region_code: string; }; } // Generated Mock for Frontend Development export const mockPolicyHandler = [ rest.get('/api/v1/modern/policies/:id', (req, res, ctx) => { return res( ctx.status(200), ctx.json<PolicyDetailsResponse>({ policy_id: req.params.id as string, holder_name: "John Doe", coverage_amount: 500000, effective_date: "2024-01-01T00:00:00Z", status: 'ACTIVE', meta: { legacy_id: 99821, region_code: "NE-01" } }) ); }), ];
This allows the frontend team to move at full speed without waiting for the backend team to finish refactoring the legacy database. It decouples the modernization layers, which is essential for hitting 2026 deadlines.
The Future Isn't Rewriting—It's Understanding#
The era of the "Big Bang" rewrite is over. The risks are too high, and the global technical debt is too massive to solve with manual labor alone. The future of enterprise architecture lies in understanding what you already have.
Visual reverse engineering provides a window into the black box. It allows you to treat your legacy system as a source of truth, not a burden. By using video as the catalyst for code generation, Replay enables enterprises to modernize at the speed of business, reducing the 18-month average rewrite timeline down to mere days or weeks.
Whether you are in Financial Services, Healthcare, or Manufacturing, the goal is the same: move from a documented-less past to a documented, modern future.
Frequently Asked Questions#
How long does legacy extraction take with Replay?#
While a manual rewrite of an enterprise-grade screen can take 40+ hours of developer time, Replay reduces this to approximately 4 hours. A complete module modernization that typically takes 6 months can often be completed in 2 to 4 weeks.
What about business logic preservation?#
Replay doesn't just copy the UI; it captures the state changes and network interactions. By analyzing the "before and after" states of a user action, Replay's AI identifies the underlying business logic and generates equivalent functions in the modern codebase, ensuring functional parity.
Can Replay handle highly secure or regulated environments?#
Yes. Replay is built for Enterprise. It is SOC2 and HIPAA-ready, and for organizations with strict data residency requirements, it can be deployed entirely On-Premise. No sensitive user data needs to leave your network.
Does it support legacy technologies like Silverlight or Flash?#
Yes. Because Replay uses visual reverse engineering (recording the rendered output and DOM interactions), it can extract workflows from virtually any web-based legacy technology, including older versions of Angular, ASP.NET, Java Swing (web-wrapped), and even mainframe emulators.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.