Legacy modernization is an exercise in archaeology, not engineering. Most enterprise leaders treat it as a migration project, but in reality, it is a high-stakes forensic investigation. The industry standard is grim: 70% of legacy rewrites fail or exceed their timelines, and the root cause isn't the new technology stack—it’s the fundamental misunderstanding of the old one.
The "Discovery Phase" is where these projects go to die. We spend months—sometimes years—interviewing developers who are three years away from retirement, digging through 15-year-old Confluence pages that were never updated, and trying to decipher "spaghetti code" that lacks any semblance of type safety or documentation.
TL;DR: Modernization projects fail because discovery relies on human memory and incomplete documentation; Replay automates this by using visual reverse engineering to turn user workflows into documented, modern code in days rather than months.
The Discovery Gap: Why Manual Audits are a Liability#
In a typical enterprise environment, 67% of legacy systems lack any form of up-to-date documentation. When a CTO mandates a rewrite of a core banking system or a healthcare claims portal, the first step is usually a "manual audit."
This manual process is a massive drain on resources. On average, it takes 40 hours of manual labor per screen to document business logic, state transitions, and API dependencies. For a system with 200 screens, you are looking at 8,000 man-hours before a single line of React is written.
The Cost of the "Black Box"#
Legacy systems are rarely just code; they are a collection of undocumented "edge case" behaviors that have been baked into the business logic over decades. When you attempt a "Big Bang" rewrite without a precise understanding of these behaviors, you inevitably miss the nuances. This leads to the dreaded "Feature Parity Gap," where the new system is faster and prettier but fails to handle 20% of the critical business rules that the old system handled silently.
| Modernization Metric | Traditional Manual Audit | Replay Visual Reverse Engineering |
|---|---|---|
| Discovery Timeline | 6 - 12 Months | 1 - 2 Weeks |
| Documentation Accuracy | 40-60% (Human error) | 99% (Recorded Truth) |
| Time per Screen | 40 Hours | 4 Hours |
| Risk Profile | High (Missing logic) | Low (Logic captured via usage) |
| Cost | $$$$ (Consultancy heavy) | $ (Platform driven) |
The Future Isn't Rewriting—It's Extraction#
The traditional "Strangler Fig" pattern is the industry standard for a reason: it allows for incremental replacement. However, even the Strangler Fig fails when the "bounded contexts" are poorly defined. You cannot strangle what you cannot see.
Replay shifts the paradigm from Archaeology to Extraction. Instead of reading dead code, we record live user workflows. By capturing the interaction between the user, the DOM, and the network layer, Replay generates a visual and technical blueprint of the system as it actually exists, not as it was documented in 2012.
From Video to React: The Technical Bridge#
When we talk about "Video as a source of truth," we aren't just talking about a screen recording. We are talking about capturing the underlying state changes and network calls associated with every frame. Replay's AI Automation Suite parses these recordings to generate functional React components that mirror the legacy behavior but utilize modern best practices.
typescript// Example: Replay-generated component extracting logic from a legacy JSP form import React, { useState, useEffect } from 'react'; import { LegacyAPI } from '@internal/legacy-bridge'; import { ModernButton, ModernInput, Card } from '@replay-design-system/ui'; /** * @generated Extracted from Workflow: "Healthcare Provider Claims Submission" * @source_legacy_file: /claims/v2/submit_form.jsp * @logic_preserved: Validation for ICD-10 codes and provider tax ID masking */ export const ClaimsSubmissionForm = () => { const [formData, setFormData] = useState({ providerId: '', claimAmount: 0, icdCode: '' }); // Replay extracted the specific regex validation used in the legacy system const validateICD = (code: string) => { const icdRegex = /^[A-Z][0-9][0-9AB]\.?[0-9A-TV-Z]{0,4}$/; return icdRegex.test(code); }; const handleSubmit = async () => { if (validateICD(formData.icdCode)) { await LegacyAPI.post('/submit-claim', formData); // Logic for post-submission redirect captured from recording } }; return ( <Card title="Provider Claim Submission"> <ModernInput label="Provider ID" onChange={(e) => setFormData({...formData, providerId: e.target.value})} /> <ModernInput label="ICD-10 Code" error={!validateICD(formData.icdCode) ? "Invalid Format" : undefined} onChange={(e) => setFormData({...formData, icdCode: e.target.value})} /> <ModernButton onClick={handleSubmit}>Submit Claim</ModernButton> </Card> ); };
💰 ROI Insight: By automating the generation of these components and their associated API contracts, enterprises typically see a 70% reduction in total modernization time. What used to take 18 months now takes weeks.
The 3-Step Replay Modernization Framework#
To avoid the 75% failure rate, we recommend a structured approach that prioritizes visibility over guesswork.
Step 1: Visual Recording & Flow Mapping#
Instead of reading source code, record your subject matter experts (SMEs) performing their daily tasks. Replay captures the UI state, network requests, and console logs. This creates a "Flow" — a visual map of the architecture that identifies exactly which APIs are called and which data transformations occur on the frontend.
Step 2: Component Extraction & Library Matching#
Replay’s AI analyzes the recording and maps legacy UI elements to your modern Design System. If you don't have one, Replay's "Library" feature generates a standardized set of React components based on the legacy system's core patterns. This ensures visual consistency while upgrading the underlying tech stack.
Step 3: Automated Documentation & Test Generation#
The most ignored part of modernization is testing. Replay automatically generates E2E tests (Playwright/Cypress) and API Contracts (OpenAPI/Swagger) based on the recorded sessions.
⚠️ Warning: Never attempt a migration without an automated test suite that covers the legacy "happy path." Without this, you have no way to verify that your new system actually works for the end user.
Solving the Technical Debt Audit#
The global technical debt bubble has reached $3.6 trillion. Most of this debt is hidden in "Shadow IT" and legacy monoliths that no one wants to touch. Replay provides a Technical Debt Audit by identifying:
- •Dead Code: Features that are never used in recorded workflows.
- •Redundant API Calls: Legacy systems often make 10 calls where 1 would suffice.
- •Security Vulnerabilities: Identifying PII leakage in the UI layer that was previously undocumented.
| Feature | Legacy System (Manual) | Replay Modernized |
|---|---|---|
| State Management | Global variables / Hidden DOM state | React Context / Redux / Signals |
| API Integration | Hardcoded SOAP/REST calls | Generated SDKs with TypeScript types |
| Testing | Manual QA / "Click and Pray" | Automated E2E and Unit Tests |
| Maintenance | Tribal Knowledge required | Self-documenting Codebase |
💡 Pro Tip: Use Replay to document your "as-is" state even if you aren't ready to migrate today. Having a visual source of truth is the best insurance policy against the sudden departure of key personnel.
Built for Regulated Environments#
For our clients in Financial Services, Healthcare, and Government, "Cloud-only" is often a dealbreaker. Replay is designed with these constraints in mind:
- •SOC2 & HIPAA Ready: We handle sensitive data with the highest security standards.
- •On-Premise Deployment: Keep your data within your own firewall.
- •PII Masking: Automatically redact sensitive user information during the recording and extraction process.
Frequently Asked Questions#
How long does legacy extraction take?#
While a manual discovery phase for a standard enterprise module takes 3-6 months, Replay reduces this to 2-8 weeks. The actual "extraction" of a single screen into a documented React component happens in hours.
What about business logic preservation?#
This is the core value of Replay. By recording the actual execution of the logic (input vs. output), we capture the "how" and "why" of the system. Replay generates API contracts that ensure your new frontend interacts with your legacy (or modernized) backend with 100% fidelity.
Does Replay work with mainframe-backed systems?#
Yes. As long as there is a web-based or terminal-emulated UI that a user interacts with, Replay can record the workflows and extract the logic. We specialize in the "last mile" of modernization—turning the user-facing complexity into clean, manageable code.
Can we use our own Design System?#
Absolutely. Replay’s Blueprints editor allows you to map extracted legacy components directly to your existing React component library.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.