The $3.6 trillion global technical debt isn't just a line item on a balance sheet; it is a death sentence for enterprise R&D. For most CTOs, the "Keep the Lights On" (KTLO) budget has ballooned to consume 70% to 80% of total IT spend, leaving a meager 20% for the actual innovation that drives market share. This stagnation is the silent killer of modern enterprise growth.
When your most senior engineers spend 60 hours a week performing "software archaeology"—digging through undocumented COBOL, Delphi, or legacy Java monoliths just to understand a single business rule—you aren't building the future. You are paying a premium to maintain a museum.
TL;DR: Legacy technical debt consumes up to 80% of IT budgets; Replay eliminates the "archaeology" phase of modernization by using visual reverse engineering to transform legacy workflows into documented React components and API contracts in days rather than years.
The KTLO Trap: Why Big Bang Rewrites Fail#
The standard response to a crumbling legacy system is the "Big Bang" rewrite. We’ve all seen the roadmap: a 24-month project, a $10M budget, and a promise of a clean-slate architecture. Yet, industry data shows that 70% of legacy rewrites fail or exceed their timeline.
The reason is simple: you cannot rewrite what you do not understand. With 67% of legacy systems lacking updated documentation, the first 12 months of any rewrite are usually spent in discovery. Engineers manually click through screens, trace obfuscated network calls, and try to guess the business logic embedded in the UI.
This manual extraction is the most expensive way to modernize. At an average of 40 hours per screen for manual reverse engineering, a 100-screen application requires 4,000 man-hours before a single line of new code is even written.
Modernization Methodology Comparison#
| Approach | Timeline | Risk | Cost | Visibility |
|---|---|---|---|---|
| Big Bang Rewrite | 18-24 months | High (70% fail) | $$$$ | Black Box |
| Strangler Fig | 12-18 months | Medium | $$$ | Incremental |
| Manual Extraction | 6-12 months | High | $$$ | Fragmented |
| Replay (Visual RE) | 2-8 weeks | Low | $ | Full Transparency |
Visual Reverse Engineering: Turning Video into Code#
The future of modernization isn't rewriting from scratch—it’s understanding what you already have with surgical precision. This is where Replay shifts the paradigm. Instead of having developers read 20-year-old source code, Replay uses visual reverse engineering.
By recording a real user workflow within the legacy application, Replay captures the DOM state, network requests, and state transitions. It then uses its AI Automation Suite to synthesize this data into modern, production-ready React components and documented API contracts.
💰 ROI Insight: Manual reverse engineering takes ~40 hours per screen. Replay reduces this to ~4 hours. For a 50-screen enterprise app, that is a savings of 1,800 engineering hours—roughly $270,000 in labor costs alone.
Example: Extracted Legacy Logic#
Consider a legacy financial services portal where the interest rate calculation is buried in a 5,000-line jQuery file. Replay identifies the user interaction, captures the underlying data transformation, and generates a clean React functional component.
typescript// Generated by Replay Blueprints // Source: Legacy Wealth Management Portal - "Calculate Yield" Workflow import React, { useState, useEffect } from 'react'; import { Button, Input, Card } from '@/components/ui/library'; // From your Design System interface YieldData { principal: number; term: number; rateType: 'FIXED' | 'VARIABLE'; } export const YieldCalculator: React.FC = () => { const [data, setData] = useState<YieldData>({ principal: 0, term: 12, rateType: 'FIXED' }); const [result, setResult] = useState<number | null>(null); // Replay captured this logic from the legacy network interceptor const calculateLegacyYield = (input: YieldData) => { const baseRate = input.rateType === 'FIXED' ? 0.045 : 0.038; const termPremium = input.term > 24 ? 0.005 : 0; return input.principal * (baseRate + termPremium); }; return ( <Card className="p-6 shadow-lg"> <h2 className="text-xl font-bold mb-4">Investment Yield Projection</h2> <Input type="number" placeholder="Principal Amount" onChange={(e) => setData({...data, principal: parseFloat(e.target.value)})} /> {/* Logic preserved from legacy state machine */} <Button onClick={() => setResult(calculateLegacyYield(data))}> Calculate Extracted Logic </Button> {result && <div className="mt-4 text-green-600">Projected: ${result.toFixed(2)}</div>} </Card> ); };
Moving from Black Box to Documented Codebase#
The "Silent Killer" thrives on obscurity. When a system is a black box, the KTLO budget increases because every bug fix requires a massive investigation. Replay transforms this by generating comprehensive documentation and technical debt audits automatically.
The Replay Automation Suite#
- •Library (Design System): Automatically extracts CSS/styles from legacy screens to build a modern React component library that mirrors your brand.
- •Flows (Architecture): Maps the user journey visually, showing how data moves between legacy screens and back-end services.
- •Blueprints (Editor): A low-code/pro-code environment where architects can refine the generated code before it hits the repository.
- •API Contracts: Replay observes the legacy traffic and generates OpenAPI (Swagger) specifications, allowing you to build modern back-ends that are 100% compatible with existing front-end logic.
⚠️ Warning: Most modernization projects fail because the "new" system doesn't account for edge-case business logic hidden in the "old" system. Visual extraction ensures that if a user can do it in the legacy app, it's captured in the new one.
Step-by-Step: Modernizing a Legacy Screen in 48 Hours#
Instead of an 18-month roadmap, Replay allows for a rapid, iterative approach. Here is how we move a legacy screen into a modern React stack.
Step 1: Recording and Observation#
A subject matter expert (SME) or QA engineer performs a standard workflow (e.g., "Onboard New Patient" in a healthcare system) while Replay records the session. Replay isn't just taking a video; it’s recording the metadata of every click, hover, and API call.
Step 2: Extraction and Parsing#
Replay’s engine parses the recording. It identifies recurring UI patterns and maps them to your organization's modern Design System. If you don't have one, Replay's Library feature creates one for you based on the legacy app's existing styles.
Step 3: Code Generation#
The system generates a TypeScript/React component. It doesn't just copy HTML; it recreates the component hierarchy, state management, and validation logic.
typescript// Generated API Contract from Replay Flow observation // Path: /api/v1/patient/onboard export interface PatientOnboardingRequest { firstName: string; lastName: string; dob: string; // ISO 8601 insuranceProviderId: string; // Replay detected a hidden legacy field used for internal routing: legacy_routing_code: string; } /** * E2E Test Generated by Replay * Preserves the exact sequence of the recorded workflow */ test('should successfully onboard patient with legacy routing', async ({ page }) => { await page.goto('/onboard'); await page.fill('input[name="firstName"]', 'John'); await page.fill('input[name="lastName"]', 'Doe'); await page.click('button[type="submit"]'); // ... });
Step 4: Audit and Deployment#
The Enterprise Architect reviews the generated Technical Debt Audit. This report highlights deprecated patterns in the legacy system and suggests modern improvements. Once approved, the component is pushed to the new repository.
Solving the Documentation Gap#
67% of legacy systems lack documentation. This is the primary reason why "The Silent Killer" is so effective. When the original developers leave the company, the knowledge of why the system works the way it does leaves with them.
Replay provides "Documentation without Archaeology." By using the video as the source of truth, the documentation is always linked to actual user behavior. If a developer needs to know why a certain validation exists, they can watch the original recording that generated the code.
📝 Note: For regulated industries like Financial Services and Healthcare, this provides an immutable audit trail of how legacy logic was transitioned to modern systems, satisfying SOC2 and HIPAA requirements.
Real-World Impact: Financial Services Case Study#
A Tier-1 bank was struggling with a 15-year-old commercial lending platform. They estimated a rewrite would take 24 months and cost $12 million. The primary blocker was a complex "Loan Approval" screen with over 200 input fields and 1,500 validation rules, most of which were undocumented.
The Replay Intervention:
- •Manual Estimate: 400 hours to document and prototype the screen.
- •Replay Actuals: 12 hours (3 recordings of different loan types).
- •Result: Within 5 days, the bank had a fully functional React version of the screen, integrated with their modern design system, with a documented OpenAPI spec for the legacy SOAP backend.
Frequently Asked Questions#
How does Replay handle complex business logic that isn't visible in the UI?#
Replay captures everything in the "Visual Trace"—this includes network payloads, hidden state changes, and console logs. While it excels at UI and orchestration logic, it also generates the API contracts needed to bridge the gap to deep back-end logic (like stored procedures), ensuring no "black box" logic is missed.
Can Replay be used in highly secure, air-gapped environments?#
Yes. Replay offers an On-Premise deployment model. It is built for regulated industries including Government and Healthcare, ensuring that sensitive data never leaves your infrastructure during the reverse engineering process.
Does Replay replace my developers?#
No. Replay is a "Force Multiplier." It removes the 80% of "grunt work" involved in modernization—manual documentation, CSS matching, and API tracing. This allows your senior architects to focus on high-level system design and new feature development, effectively shifting your budget from KTLO back to R&D.
What languages and frameworks does Replay support?#
Replay can record any web-based legacy system (Mainframe emulators, Delphi web wrappers, Java Applets, jQuery, Angular.js, etc.) and outputs modern React/TypeScript code. The AI Automation Suite can be configured to follow your specific coding standards and architectural patterns.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.