The $3.6 trillion global technical debt is not a budget problem; it is an archaeology problem. Most modernization projects fail because teams spend 60% of their timeline trying to understand what the legacy system actually does before writing a single line of new code. If your 2025 strategy relies on manual code reviews and "interrogating" retiring subject matter experts, you are already behind.
TL;DR: Video-first discovery replaces manual "code archaeology" with visual reverse engineering, reducing modernization timelines by 70% by using runtime behavior as the source of truth for generating modern React components and API contracts.
The Death of the "Big Bang" Rewrite#
The traditional enterprise rewrite is a graveyard of ambition. Statistics show that 70% of legacy rewrites fail or significantly exceed their timelines. The average enterprise rewrite takes 18 to 24 months—a timeframe in which the underlying business requirements often change twice over.
The primary culprit is the documentation gap. Roughly 67% of legacy systems lack any form of accurate documentation. When you embark on a "Big Bang" rewrite, your developers are essentially flying blind, trying to replicate complex business logic buried in 15-year-old monolithic structures.
The Cost of Manual Discovery#
| Approach | Timeline | Risk | Discovery Method | Cost |
|---|---|---|---|---|
| Big Bang Rewrite | 18-24 months | High (70% fail) | Manual Code Review | $$$$ |
| Strangler Fig | 12-18 months | Medium | Manual Proxying | $$$ |
| Video-First (Replay) | 2-8 weeks | Low | Visual Reverse Engineering | $ |
Manual discovery is a resource sink. On average, it takes a senior engineer 40 hours to manually document, map, and plan the migration of a single complex legacy screen. With Replay, that same process is compressed into 4 hours. We aren't just talking about speed; we're talking about the difference between a project that gets funded and one that gets canceled.
Why Your 2025 Strategy Must Be Video-First#
In 2025, the "source of truth" is no longer the codebase—it is the user workflow. Legacy code is often littered with "zombie features" and dead logic paths that haven't been touched in years. If you modernize by reading the code, you end up migrating technical debt. If you modernize by recording the workflow, you migrate the business value.
From Black Box to Documented Codebase#
Video-first discovery uses visual reverse engineering to record real user interactions. Replay captures the state transitions, API calls, and UI changes as they happen in the legacy environment.
This isn't just a screen recording; it's a deep-trace capture that allows Replay to synthesize:
- •Modern React Components: Clean, modular UI code that mirrors the legacy functionality.
- •API Contracts: Accurate documentation of how the frontend communicates with the backend.
- •E2E Tests: Automated tests based on real-world usage patterns.
💰 ROI Insight: By shifting from manual discovery to Replay, enterprises save an average of 36 hours per screen. For a standard 50-screen application, that represents 1,800 hours of senior engineering time recovered.
Step-by-Step: Implementing Video-First Discovery#
To move from a black box to a modernized stack, follow this actionable framework for visual reverse engineering.
Step 1: Workflow Mapping and Recording#
Identify the high-value workflows in your legacy system. Instead of reading the COBOL or Java source, have a subject matter expert (SME) perform the task while Replay records the session.
Step 2: Extraction and Synthesis#
Replay analyzes the recording to extract the underlying intent. It identifies patterns in the DOM, state changes, and network requests.
typescript// Example: Replay-generated component skeleton from a legacy workflow // This preserves business logic while using modern React patterns import React, { useState, useEffect } from 'react'; import { LegacyService } from './services/legacy-bridge'; interface PatientRecordProps { id: string; onUpdate: (data: any) => void; } export const ModernizedPatientPortal: React.FC<PatientRecordProps> = ({ id, onUpdate }) => { const [record, setRecord] = useState<any>(null); const [loading, setLoading] = useState(true); // Replay identified this specific sequence of legacy API calls // during the "Update Patient" workflow recording. useEffect(() => { async function loadData() { const data = await LegacyService.fetchCompositeRecord(id); setRecord(data); setLoading(false); } loadData(); }, [id]); if (loading) return <Spinner />; return ( <div className="p-6 bg-white rounded-lg shadow-md"> <h2 className="text-xl font-bold">{record.name}</h2> {/* Generated UI logic follows the visual state captured in Replay */} <RecordDetails data={record} /> <button onClick={() => onUpdate(record)} className="mt-4 bg-blue-600 text-white px-4 py-2 rounded" > Sync with Legacy Core </button> </div> ); };
Step 3: API Contract Generation#
One of the biggest friction points in modernization is the "hidden" API. Replay monitors the network layer during discovery to generate OpenAPI/Swagger specifications for legacy endpoints that may have never been documented.
yaml# Replay-generated API Contract paths: /legacy/api/v1/claims/process: post: summary: Extracted from "Submit Insurance Claim" workflow requestBody: content: application/json: schema: type: object properties: claimId: { type: string } providerId: { type: integer } lineItems: { type: array, items: { $ref: '#/components/schemas/LineItem' } } responses: '200': description: Claim processed successfully
⚠️ Warning: Never attempt to modernize a system where the API layer is a "guess." Without a formal contract, your new frontend will break the moment it hits production edge cases.
Technical Debt Auditing: The "Keep or Kill" Phase#
Before you write new code, you must decide what to discard. Replay’s AI Automation Suite performs a technical debt audit by comparing the legacy codebase against actual usage recordings.
- •Identify Zombie Code: If a logic branch exists in the code but is never triggered during 100+ recorded workflows, it’s likely dead weight.
- •Pinpoint Complexity Hotspots: Areas where the visual state transitions are highly erratic often indicate brittle legacy logic that requires a complete rethink rather than a direct port.
Built for Regulated Environments#
For our readers in Financial Services, Healthcare, and Government, "cloud-only" is often a non-starter. Replay is built for these constraints:
- •SOC2 & HIPAA Ready: Data handling that meets the strictest compliance standards.
- •On-Premise Available: Keep your sensitive workflow data within your own firewall.
- •PII Masking: Automated redaction of sensitive user data during the recording and extraction process.
The Future Isn't Rewriting—It's Understanding#
The era of the "blind rewrite" is over. In 2025, the most successful Enterprise Architects will be those who stop treating legacy systems as liabilities to be destroyed and start treating them as specifications to be understood.
Replay allows you to treat your legacy system as the "source of truth" without being a slave to its outdated architecture. By capturing the behavior via video and extracting the intent via AI, you bypass the 18-month archaeology phase and move straight to delivery.
📝 Note: Modernization is a journey of incremental wins. Start with your most problematic screen—the one that generates the most support tickets—and use Replay to extract it into a modern React component this week.
Frequently Asked Questions#
How long does legacy extraction take with Replay?#
While a manual extraction takes ~40 hours per screen, Replay reduces this to approximately 4 hours. Most enterprise pilots see a fully documented and extracted workflow ready for development within 2 to 5 days.
What about business logic preservation?#
Replay doesn't just copy the UI; it captures the state changes and side effects. By recording the system in motion, Replay identifies the "hidden" logic—like conditional field validation or multi-step API dependencies—that static code analysis often misses.
Does Replay require access to the legacy source code?#
No. Replay works via visual reverse engineering at the runtime level. This is particularly valuable for systems where the original source code is lost, obfuscated, or written in languages that your current team cannot support.
Can Replay generate E2E tests?#
Yes. Because Replay records the actual user flow, it can automatically generate Playwright or Cypress scripts that replicate those exact steps, ensuring your modernized version maintains parity with the legacy system.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.