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February 6, 20269 min readModernizing Without the

Modernizing Without the "Big Bang": A Guide to Incremental Workflow Extraction

R
Replay Team
Developer Advocates

Most enterprise architects are currently presiding over a graveyard of failed modernization attempts. The "Big Bang" rewrite is a siren song that has led 70% of legacy projects to exceed their timelines or fail entirely. We are currently facing a $3.6 trillion global technical debt crisis, yet the industry continues to treat modernization as a manual archaeology project.

The reality is that 67% of legacy systems lack any meaningful documentation. When you tell a CTO that a rewrite will take 18 to 24 months, you are guessing. You are attempting to rebuild a black box by staring at obfuscated COBOL, Java 6, or legacy .NET code and hoping the business logic reveals itself. It won't.

Modernizing without the "Big Bang" requires a fundamental shift: moving away from manual code analysis and toward Visual Reverse Engineering.

TL;DR: Modernizing without the "Big Bang" requires shifting from manual code archaeology to automated visual workflow extraction, reducing the time to document and migrate legacy screens from 40 hours to 4 hours.

The High Cost of the "Clean Slate" Fallacy#

Architects love the idea of a clean slate. We tell ourselves that this time, we’ll use the right patterns, the right microservices, and the right state management. But for a $10B insurance provider or a global bank, a "clean slate" is a fantasy that ignores thirty years of embedded edge cases.

When you choose a Big Bang rewrite, you aren't just writing new code; you are trying to rediscover business rules that the original authors took to their retirement homes a decade ago. This "archaeology" is why the average enterprise rewrite timeline stretches to 18 months or more.

ApproachTimelineRiskCostDocumentation
Big Bang Rewrite18-24 monthsHigh (70% fail)$$$$Manual/Incomplete
Strangler Fig12-18 monthsMedium$$$Partial
Visual Extraction (Replay)2-8 weeksLow$Automated & Precise

Why Manual Modernization Fails#

The manual approach to modernization relies on developers reading legacy code to understand what the UI is doing. This is backwards. A screen is the manifestation of business intent. If a user clicks "Calculate Premium" in a 20-year-old desktop app, the visual workflow is the source of truth, not just the messy backend logic that supports it.

Manual extraction takes an average of 40 hours per screen. In a system with 500+ screens, you’ve lost the project before the first sprint ends.

Visual Reverse Engineering: The New Standard#

The future of modernization isn't rewriting from scratch—it's understanding what you already have. This is where Replay changes the trajectory of the enterprise. Instead of digging through dead repositories, we use video and runtime interaction as the primary source of truth.

By recording real user workflows, Replay’s engine performs visual reverse engineering to generate documented React components, API contracts, and end-to-end tests. We are seeing companies move from 18-month roadmaps to delivering modernized modules in days.

💰 ROI Insight: By shifting from manual screen recreation (40 hours/screen) to Replay’s automated extraction (4 hours/screen), a typical enterprise project involving 100 screens saves 3,600 man-hours—roughly $450,000 in developer salary costs alone.

The Incremental Workflow Extraction Framework#

To modernize without the "Big Bang," you must deconstruct the monolith into functional workflows. This is not about moving files; it’s about extracting intent.

Step 1: Workflow Recording and Mapping#

Instead of reading code, you record the expert user. In a healthcare environment, this might be a nurse processing a claim. As the user navigates the legacy system, Replay captures the DOM transitions, state changes, and network calls. This transforms the "black box" into a visual map of the application’s actual behavior.

Step 2: Component Extraction and Design System Mapping#

Legacy systems are often a visual mess of inconsistent patterns. During extraction, Replay identifies repeating UI patterns and maps them to your modern Design System (the Library feature). If the legacy app uses a specific data grid for 50 different screens, Replay recognizes the pattern and generates a single, reusable React component.

Step 3: API Contract Generation#

One of the biggest bottlenecks in modernization is the "What does this button actually call?" problem. Replay’s AI Automation Suite monitors the network layer during the recording to generate precise API contracts.

typescript
// Example: Generated API Contract from Replay Extraction // Service: ClaimsProcessor // Legacy Endpoint: /api/v1/legacy/calc_premium_final_v2 export interface PremiumCalculationRequest { policyId: string; riskFactor: number; effectiveDate: ISO8601String; } export interface PremiumCalculationResponse { monthlyPremium: number; taxAmount: number; total: number; underwritingFlags: string[]; } /** * @generated Generated from Replay Visual Reverse Engineering * Preserves business logic observed in 'Standard Policy Workflow' */ export async function calculatePremium(data: PremiumCalculationRequest): Promise<PremiumCalculationResponse> { const response = await fetch('/api/modern/premium/calculate', { method: 'POST', body: JSON.stringify(data), }); return response.json(); }

Step 4: Blueprinting and Code Generation#

Once the workflows are mapped, the Blueprints editor allows architects to refine the generated architecture. You aren't just getting "spaghetti React." You are getting structured, typed, and documented code that follows your organization's specific standards.

tsx
// Example: Modernized React Component generated by Replay import React, { useState } from 'react'; import { Button, Card, DataGrid } from '@enterprise/design-system'; import { calculatePremium, PremiumCalculationResponse } from './api/claims'; export const ClaimsModernizationModule: React.FC<{ claimId: string }> = ({ claimId }) => { const [result, setResult] = useState<PremiumCalculationResponse | null>(null); const [loading, setLoading] = useState(false); const handleAudit = async () => { setLoading(true); // Logic extracted from legacy 'AuditClick' workflow const data = await calculatePremium({ policyId: claimId, riskFactor: 0.85, effectiveDate: new Date().toISOString() }); setResult(data); setLoading(false); }; return ( <Card title={`Processing Claim: ${claimId}`}> <div className="flex flex-col gap-4"> <Button onClick={handleAudit} loading={loading}> Run Legacy Logic Validation </Button> {result && ( <DataGrid data={[ { label: 'Monthly Premium', value: result.monthlyPremium }, { label: 'Total Tax', value: result.taxAmount } ]} /> )} </div> </Card> ); };

⚠️ Warning: Do not attempt to modernize the backend and frontend simultaneously. Extract the frontend workflows first to create a "Living Documentation" layer, then use the generated API contracts to drive your backend microservices strategy.

Breaking the Documentation Gap#

67% of legacy systems have no documentation. In a regulated industry like Financial Services or Government, this isn't just a technical hurdle; it’s a compliance risk.

Replay solves this by treating the video recording as the "Source of Truth." When an auditor asks why a specific calculation exists, you can point to the recorded workflow and the subsequent generated documentation. This is "Documenting without Archaeology." You are documenting the actual system behavior, not the intended behavior from a 2005 requirements doc that was never updated.

Built for Regulated Environments#

Modernizing without the "Big Bang" is particularly difficult in HIPAA or SOC2 environments where data privacy is paramount. Unlike generic AI coding tools that require sending your proprietary code to a third-party cloud, Replay offers On-Premise availability. This ensures that your reverse engineering process happens within your security perimeter, maintaining the integrity of sensitive healthcare or financial data.

The Technical Debt Audit#

Before you start extracting, you need to know the depth of the hole you're in. Replay’s Technical Debt Audit feature analyzes the extracted workflows to identify:

  • Redundant Workflows: Screens that are no longer used by actual staff.
  • Logic Complexity: Areas where the legacy business logic is too convoluted for a direct 1:1 migration.
  • Security Gaps: Legacy endpoints that lack modern authentication headers.

By identifying these early, you can prune the scope of your modernization. Why rewrite 500 screens when the data shows only 150 are critical to the core business workflow?

💡 Pro Tip: Use Replay's "Flows" feature to visualize the architecture of your legacy system before writing a single line of new code. This prevents the common mistake of building modern silos that don't talk to each other.

From 18 Months to 18 Days: A Case Study in Telecom#

A major telecom provider recently faced a mandate to modernize a legacy billing portal. The initial estimate for a manual rewrite was 22 months with a team of 15 developers. The risk was deemed "unacceptable" by the board.

By utilizing Replay, they shifted their strategy. They recorded the 40 most critical billing workflows. Within 3 weeks, Replay had:

  1. Extracted 85 reusable React components mapped to their new Tailwind-based design system.
  2. Generated 120 API contracts for their legacy SOAP services.
  3. Created a suite of Playwright E2E tests that mirrored the legacy user behavior.

The project moved into production in sections. Instead of waiting two years for a "Big Bang" release, the billing team saw the first modernized module in 24 days. This is the power of understanding what you already have.

Frequently Asked Questions#

How long does legacy extraction take with Replay?#

While a manual screen-to-code process takes 40+ hours, Replay reduces this to approximately 4 hours per screen. For a standard enterprise module of 20 screens, you can expect a fully documented, componentized codebase in about two weeks.

What about business logic preservation?#

Replay doesn't just copy the UI; it captures the state transitions and network interactions. This allows the AI Automation Suite to generate logic that preserves the original business intent while refactoring it into modern, readable TypeScript.

Does this work with any legacy system?#

Yes. If it runs in a browser or can be accessed via a terminal/Citrix environment, Replay can record the workflow. Our engine is designed to handle everything from old-school JSP and Silverlight to complex mainframe emulators.

How does this handle SOC2 and HIPAA compliance?#

Replay is built for regulated industries. We offer On-Premise deployment options so your data never leaves your network. We are SOC2 compliant and HIPAA-ready, ensuring that even during the reverse engineering phase, your data remains protected.

The Path Forward#

The "Big Bang" rewrite is a relic of an era when we had more time and less complexity. In the modern enterprise, speed is the only defensive moat. If your modernization strategy relies on developers manually documenting 20-year-old code, you are already behind.

Stop the archaeology. Start the extraction. The future isn't rewriting from scratch—it's using the visual truth of your existing systems to build the next generation of enterprise software.


Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.

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