The $3.6 trillion global technical debt isn't just a financial liability; it’s a documentation crisis. Most enterprise architects are operating under a dangerous delusion: the belief that the "source of truth" for a legacy system lives in its code comments or its Jira tickets. It doesn't. In 67% of legacy systems, documentation is either non-existent or actively misleading. The only objective truth left in a 20-year-old COBOL or Java monolith is how a user actually interacts with the interface to complete a business process.
TL;DR: Legacy modernization fails because teams trust outdated documentation; Replay solves this by using visual user workflows as the source of truth to automate the extraction of documented React components, saving 70% of modernization time.
The Documentation Archeology Trap#
Most modernization projects begin with "archeology." This is the expensive, manual process where senior engineers spend months digging through layers of dead code, trying to discern intent from 15-year-old comments like
// TODO: Fix this later - JS 2009This approach is fundamentally flawed. When you perform a "Big Bang" rewrite based on legacy code analysis, you are essentially trying to build a new house by looking at the ruins of an old one. You end up replicating bugs, carrying over technical debt, and missing the undocumented "shadow workflows" that users have developed to bypass system limitations.
Why Code Comments Lie#
Code comments reflect what a developer intended to do at a specific point in time. They do not reflect the reality of how the system evolved through hotfixes, database triggers, and middleware patches. In regulated industries like Financial Services or Healthcare, this gap between "intended logic" and "actual behavior" is where compliance failures and system outages live.
| Modernization Factor | Manual Code Archeology | Visual Reverse Engineering (Replay) |
|---|---|---|
| Primary Source | Outdated Comments/Code | Live User Behavior (Video) |
| Documentation Accuracy | 30-40% (Estimated) | 98-100% (Observed) |
| Time per Screen | 40+ Hours | 4 Hours |
| Risk of Regression | High (70% failure rate) | Low (Logic is verified visually) |
| Output | Manual Specifications | Documented React Components & API Contracts |
From Black Box to Documented Codebase#
The future of modernization isn't rewriting from scratch; it's understanding what you already have by observing it in motion. This is where Replay changes the trajectory of the enterprise architect’s roadmap. Instead of guessing what a legacy screen does, Replay records real user workflows and treats that video as the source of truth for reverse engineering.
The Problem of the "Black Box"#
A legacy system is a black box. You see the input (user clicks) and the output (data saved), but the logic in between is a mystery. Manual extraction requires a developer to sit with a subject matter expert (SME), watch them work, take notes, and then try to translate those notes into a React component.
This manual process takes an average of 18-24 months for an enterprise-scale rewrite. With Replay, this timeline shrinks to days or weeks.
💰 ROI Insight: Reducing the time per screen from 40 hours to 4 hours represents a 90% reduction in labor costs per component, allowing teams to clear decades of technical debt in a single fiscal year.
The Technical Reality: How Visual Extraction Works#
Replay doesn't just "record a video." It captures the underlying DOM states, network calls, and state transitions. It then uses its AI Automation Suite to map these visual actions to clean, modern code.
Step 1: Workflow Recording#
The process begins by recording an SME performing a standard business process—for example, processing a claims adjustment in a legacy insurance portal. Replay captures every interaction, including hidden conditional logic that only appears when specific data criteria are met.
Step 2: Architecture Mapping (Flows)#
Replay’s Flows feature visualizes the architecture of the recorded session. It identifies the sequence of screens, the data dependencies, and the API calls triggered by user actions. This creates an immediate, visual map of the "as-is" state.
Step 3: Component Extraction (Blueprints)#
Using the Blueprints editor, Replay takes the recorded visual state and generates a modern React component. This isn't just a UI clone; it includes the business logic preserved from the legacy system.
typescript// Example: Legacy logic extracted and modernized by Replay // Source: Legacy Insurance Claims Portal (Java/JSP) // Target: Modern React/TypeScript Component import React, { useState, useEffect } from 'react'; import { Button, TextField, Alert } from '@enterprise-ui/core'; interface ClaimProps { claimId: string; initialStatus: 'PENDING' | 'APPROVED' | 'DENIED'; } export const ModernizedClaimProcessor: React.FC<ClaimProps> = ({ claimId, initialStatus }) => { const [status, setStatus] = useState(initialStatus); const [adjustmentValue, setAdjustmentValue] = useState<number>(0); // Logic extracted from Replay session: // Automated detection of "High Value" threshold logic const isHighValue = adjustmentValue > 5000; const handleApprove = async () => { try { // API Contract generated by Replay based on intercepted network traffic const response = await fetch(`/api/v1/claims/${claimId}/approve`, { method: 'POST', body: JSON.stringify({ adjustmentValue, requiresSeniorAudit: isHighValue }) }); if (response.ok) setStatus('APPROVED'); } catch (error) { console.error("Modernization Error: API mismatch", error); } }; return ( <div className="p-6 border rounded-lg shadow-sm"> <h3>Processing Claim: {claimId}</h3> {isHighValue && ( <Alert severity="warning"> Warning: Adjustments over $5,000 require Senior Auditor sign-off. </Alert> )} <TextField label="Adjustment Amount" type="number" onChange={(e) => setAdjustmentValue(Number(e.target.value))} /> <Button onClick={handleApprove} disabled={status === 'APPROVED'}> Approve Claim </Button> </div> ); };
⚠️ Warning: Never attempt to modernize a legacy system by looking at the UI alone. Without capturing the network layer and state transitions (which Replay does automatically), you will miss critical validation logic that exists only on the server-side.
Preserving Business Logic Without the Archeology#
One of the biggest pain points in legacy systems is the "lost" business logic—rules that were hardcoded into the system a decade ago by developers who have since left the company.
Step-by-Step: Extracting Logic with Replay#
- •Identify the Workflow: Select a critical business path (e.g., "Onboard New Customer").
- •Record with Replay: Have the SME run through the process. Replay captures the "Happy Path" and "Edge Cases."
- •Generate API Contracts: Replay automatically documents the legacy API endpoints being hit, even if no Swagger/OpenAPI spec exists.
- •Audit Technical Debt: Use Replay’s Technical Debt Audit feature to identify which parts of the legacy logic are redundant and can be deprecated.
- •Export to Library: Save the newly generated React components into your Library (Design System) for reuse across the enterprise.
The AI Automation Suite#
Replay's AI doesn't just copy code; it refactors it. It looks at the legacy spaghetti code and outputs structured, typed, and testable TypeScript. It also generates E2E tests (Cypress/Playwright) based on the recorded user flow, ensuring that the new system behaves exactly like the old one from day one.
typescript// E2E Test generated by Replay to verify logic parity describe('Claim Approval Workflow Parity', () => { it('should trigger high-value warning when amount exceeds 5000', () => { cy.visit('/claims/process/123'); cy.get('input[name="adjustmentValue"]').type('6000'); // This assertion is based on the observed behavior in the Replay recording cy.get('[data-testid="high-value-alert"]') .should('be.visible') .and('contain', 'Senior Auditor sign-off'); }); });
Built for Regulated Environments#
For Enterprise Architects in Financial Services, Healthcare, and Government, "cloud-only" tools are often non-starters. Replay was built with these constraints in mind.
- •SOC2 & HIPAA Ready: Data privacy is baked into the platform.
- •On-Premise Availability: Keep your source code and user recordings behind your own firewall.
- •PII Masking: Automatically redact sensitive user data during the recording and extraction process.
📝 Note: Replay's ability to run on-premise is critical for government and telecom sectors where data residency and security are paramount.
The Cost of Waiting#
The average enterprise rewrite takes 18 months. During that time, the market changes, user needs evolve, and the technical debt continues to accrue interest. By the time the "Big Bang" rewrite is finished, it’s often already obsolete.
Replay shifts the paradigm from "Rewrite" to "Continuous Evolution." By extracting and documenting components in real-time, you can migrate incrementally. You can replace one screen or one workflow at a time, reducing risk and providing immediate value to the business.
Comparative Timeline: Manual vs. Replay#
| Phase | Manual Approach | Replay Approach |
|---|---|---|
| Discovery/Discovery | 3-6 Months | 1-2 Weeks |
| Documentation | 4-8 Months | Automated (Real-time) |
| Component Development | 6-12 Months | 2-4 Weeks |
| Testing/QA | 4-6 Months | Automated (E2E Generation) |
| Total Time | 17-32 Months | 4-8 Weeks |
Frequently Asked Questions#
How does Replay handle complex, multi-step workflows?#
Replay's Flows feature is designed specifically for complex state machines. It records the entire session as a continuous stream and then breaks it down into logical steps, identifying where state is passed between screens and how the application handles branching logic.
Can Replay work with legacy systems that don't have an API?#
Yes. Replay captures the visual state and DOM transitions. Even if the backend is a monolithic black box with no clear API, Replay can help you document the front-end requirements and the data structures needed to build a new API layer.
What about business logic preservation?#
This is Replay's core strength. Because we use the actual user behavior as the source of truth, we capture the logic that is actually in use, not just what's written in the code. Replay’s AI Suite analyzes the relationship between user input and system output to reconstruct the underlying business rules.
Does Replay support on-premise deployment?#
Yes. For industries like Government, Manufacturing, and Telecom, Replay offers full on-premise deployment options to ensure that all data and intellectual property remain within your secure environment.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.