Your most expensive employee just handed in their notice, and they aren't an executive—they’re a 68-year-old COBOL developer named Dave. When Dave leaves, he isn’t just taking his pension; he’s taking the only mental map of your core transaction engine. This is the $10M retirement: the moment a legacy system officially transitions from "technical debt" to "existential risk."
Most enterprises respond to this crisis with a "Big Bang" rewrite. They hire a Tier-1 consultancy, spend $10M over 24 months, and ultimately join the 70% of legacy rewrites that fail or exceed their timeline. The problem isn't a lack of talent; it's the documentation gap. With 67% of legacy systems lacking up-to-date documentation, you aren't just rewriting code—you’re performing digital archaeology on a black box.
TL;DR: The "$10M Retirement" occurs when tribal knowledge of legacy systems vanishes, but Replay solves this by using Visual Reverse Engineering to convert real user workflows into documented, modern React components in weeks rather than years.
The Archaeology Trap: Why Manual Modernization Fails#
When Dave retires, your first instinct is to "document the system." You assign a team of business analysts and senior devs to sit with users, watch them navigate green screens or clunky Delphi apps, and write Jira tickets.
This manual approach is a financial sinkhole. On average, it takes 40 hours per screen to manually document, design, and architect a replacement for a legacy interface. In a mid-sized enterprise application with 200 screens, you’re looking at 8,000 man-hours before a single line of production-ready code is written.
The Cost of Knowledge Loss#
The global technical debt bubble has reached $3.6 trillion. For regulated industries like Financial Services and Healthcare, this debt isn't just an IT line item; it's a regulatory liability. When the person who understands the edge cases of your 1994 interest-calculation logic leaves, your "source of truth" becomes a series of guesses.
| Approach | Timeline | Risk | Cost | Documentation |
|---|---|---|---|---|
| Big Bang Rewrite | 18-24 months | High (70% fail) | $$$$ | Manual/Incomplete |
| Strangler Fig | 12-18 months | Medium | $$$ | Incremental |
| Replay (Visual RE) | 2-8 weeks | Low | $ | Automated/Video-backed |
Visual Reverse Engineering: The Modern Alternative#
The future of modernization isn't rewriting from scratch—it's understanding what you already have by observing it in action. At Replay, we believe the video of a user performing a workflow is the ultimate source of truth.
Instead of asking Dave to explain a complex nested conditional logic he wrote in 1989, we record the workflow. Replay then extracts the UI patterns, the data schemas, and the business logic transitions to generate a documented React codebase. This shifts the timeline from 18 months to mere days.
From Black Box to Documented Codebase#
Replay doesn't just "scrape" a UI. It performs a deep technical audit of the interaction. By recording a session, the platform identifies:
- •State Transitions: What happens to the data when "Submit" is clicked?
- •API Contracts: What are the implicit inputs and outputs of the legacy backend?
- •Component Architecture: Which UI elements are reusable across the enterprise?
💰 ROI Insight: Companies using Replay see an average of 70% time savings. A process that typically takes 40 hours of manual labor per screen is reduced to just 4 hours of automated extraction and refinement.
Technical Implementation: Extracting the Legacy Core#
To understand how Replay bridges the gap between a mainframe and a modern React/Next.js stack, we need to look at the extraction output. When a developer records a legacy workflow, Replay’s AI Automation Suite analyzes the DOM (or the visual stream in terminal environments) and generates functional, type-safe components.
Step 1: Workflow Recording#
A subject matter expert (SME) performs the standard business process. Replay captures the network calls, state changes, and visual hierarchy.
Step 2: Component Extraction#
Replay identifies patterns. If it sees a recurring table structure with specific validation logic, it moves that into the Library (Design System).
Step 3: Logic Preservation#
The most critical part of the $10M retirement is the business logic. Replay generates React hooks that encapsulate the legacy behavior, ensuring that "Dave’s logic" is preserved even if the underlying language changes.
typescript// Example: Generated component from Replay extraction // This preserves the complex validation logic found in the legacy COBOL-backed UI import React, { useState, useEffect } from 'react'; import { LegacyValidator } from '@replay-internal/validators'; import { ModernInput, Button, Card } from '@/components/ui'; interface LegacyClaimData { claimId: string; policyType: 'PPO' | 'HMO'; adjustmentCode: number; } export const LegacyClaimsProcessor: React.FC<{ initialId: string }> = ({ initialId }) => { const [data, setData] = useState<Partial<LegacyClaimData>>({}); const [isProcessing, setIsProcessing] = useState(false); // Logic extracted from legacy 'Form_Validate' routine const handleValidation = (values: LegacyClaimData) => { if (values.policyType === 'PPO' && values.adjustmentCode > 500) { return LegacyValidator.triggerOverride(values); } return true; }; return ( <Card title="Claims Processing - Legacy Extraction"> <form onSubmit={async (e) => { e.preventDefault(); setIsProcessing(true); // Replay generated API contract call await fetch('/api/v1/legacy/claims/process', { method: 'POST', body: JSON.stringify(data) }); setIsProcessing(false); }}> <ModernInput label="Adjustment Code" onChange={(val) => setData({...data, adjustmentCode: parseInt(val)})} /> <Button type="submit" loading={isProcessing}> Sync to Mainframe </Button> </form> </Card> ); };
⚠️ Warning: Most modernization failures occur because the new system doesn't account for "hidden" business rules that only exist in the legacy UI's event handlers. Visual Reverse Engineering captures these before the developer leaves.
Building the "Flows" and "Blueprints"#
Enterprise architecture isn't just about individual components; it’s about how they connect. Replay’s Flows feature maps the entire application architecture visually.
When you’re dealing with a $3.6 trillion technical debt problem, you can’t afford to map these flows manually. Replay generates Blueprints—an editor-based view of your system architecture that allows architects to see every dependency.
Automated Documentation and E2E Testing#
One of the highest costs of Dave’s retirement is the loss of the "test suite" (which usually only exists in Dave's head). Replay automatically generates:
- •API Contracts: Swagger/OpenAPI specs derived from legacy traffic.
- •E2E Tests: Playwright or Cypress scripts that replicate the recorded user workflow.
- •Technical Debt Audit: A report highlighting which parts of the legacy code are redundant.
typescript// Generated Playwright Test from Replay Recording // Ensures the modernized React component matches the legacy workflow exactly import { test, expect } from '@playwright/test'; test('verify legacy claims workflow preservation', async ({ page }) => { await page.goto('/modernized/claims-processor'); // Replay identified this specific sequence as critical for the 'Adjustment' workflow await page.fill('[data-testid="adj-code"]', '600'); await page.selectOption('select[name="policyType"]', 'PPO'); await page.click('button[type="submit"]'); // The legacy system expected a specific modal response for PPO overrides const modal = page.locator('.override-modal'); await expect(modal).toBeVisible(); await expect(modal).toContainText('Manual Review Required'); });
Industry-Specific Impact: Regulated Environments#
Replay is built for the "Too Big To Fail" sectors. In these industries, a "black box" is a security risk.
Financial Services & Insurance#
In banking, the mainframe is often the ledger of record. Moving from a green screen to a modern web interface usually involves complex middleware. Replay’s ability to generate API contracts directly from observed traffic allows banks to build "Strangler Fig" wrappers around their mainframes without needing to modify the underlying COBOL.
Healthcare#
HIPAA compliance requires strict data lineage. Replay’s On-Premise availability ensures that sensitive patient data never leaves the secure environment during the reverse engineering process. By documenting the flows, hospitals can modernize their EHR interfaces while maintaining a perfect audit trail.
📝 Note: Replay is SOC2 and HIPAA-ready, making it suitable for government and manufacturing sectors where data sovereignty is non-negotiable.
The 4-Step Modernization Roadmap with Replay#
Step 1: Discovery & Assessment#
Instead of months of interviews, use Replay to record the top 20% of workflows that handle 80% of the business value. This identifies the "critical path" for modernization.
Step 2: Visual Extraction#
Run the recordings through the Replay AI Suite. Generate the initial Library of React components and the API Contracts. This is where the 70% time savings begins.
Step 3: Architecture Mapping#
Use Flows to visualize how the legacy system talks to external databases and third-party APIs. Identify the "cleanest" break points for the Strangler Fig pattern.
Step 4: Incremental Deployment#
Deploy the modernized screens one by one. Because Replay generated the E2E tests, you can be 100% certain that the new React screen behaves exactly like the old mainframe screen.
Frequently Asked Questions#
How long does legacy extraction take?#
While a manual rewrite takes 18-24 months, Replay typically delivers a fully documented component library and mapped workflows in 2 to 8 weeks, depending on the complexity of the application.
What about business logic preservation?#
Replay captures the "Visual Truth." By observing the inputs, outputs, and UI state changes, it generates code that mimics the legacy logic precisely. This includes hidden validation rules and conditional formatting that are often missed in manual rewrites.
Does Replay require access to the legacy source code?#
No. Replay works through Visual Reverse Engineering. It analyzes the application as it runs. This is particularly useful for systems where the original source code is lost, obfuscated, or written in languages that modern developers cannot read.
Can Replay handle terminal-based "Green Screens"?#
Yes. Replay’s engine is designed to interpret various UI renderings, from legacy web apps (IE6-era) to terminal emulators used in manufacturing and finance.
The Bottom Line#
Dave is going to retire. The $10M question is whether he takes your company’s operational capability with him.
The old way of modernizing—the "Big Bang" rewrite—is a gamble with a 70% failure rate. It relies on documentation that doesn't exist and tribal knowledge that is walking out the door. The future of the enterprise isn't rewriting; it's understanding.
By using Replay to visually reverse engineer your legacy systems, you turn the "black box" into a documented, modern codebase. You save 70% of your timeline, eliminate the documentation gap, and finally settle your technical debt.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.