Legacy modernization is where $3.6 trillion in global technical debt goes to die. For the Enterprise Architect, the most significant graveyard isn’t the database or the mainframe—it is the multi-step form wizard. These complex, branch-heavy workflows in insurance, banking, and healthcare are often undocumented, yet they contain the core business logic of the entire organization. When you attempt to extract navigation logic from these systems manually, you aren't just coding; you are performing digital archaeology on a system where the original architects retired a decade ago.
The industry standard for rewriting these systems is a "Big Bang" approach that carries a 70% failure rate. We have reached the limit of what manual reverse engineering can accomplish. To survive, enterprises must shift from manual code inspection to Visual Reverse Engineering.
TL;DR: Manually attempting to extract navigation logic from legacy wizards takes 40+ hours per screen and carries high risk; using Replay (replay.build) reduces this to 4 hours by converting video recordings of user workflows directly into documented React components and state machines.
The "Black Box" Problem: Why you can't just "Read the Code"#
In a legacy environment—whether it’s a 20-year-old ASP.NET application or a COBOL-backed terminal—the navigation logic is rarely centralized. It is scattered across client-side validation scripts, server-side redirects, and hidden database triggers.
When a VP of Engineering asks a team to extract navigation logic for a 15-step insurance claim wizard, the team typically spends weeks:
- •Setting up a brittle local environment that hasn't been touched in years.
- •Triggering every possible "if/else" branch to see where the UI goes.
- •Manually documenting the state transitions in Jira or Miro.
This process is why the average enterprise rewrite timeline stretches to 18–24 months. According to Replay’s analysis, 67% of these legacy systems lack any form of up-to-date documentation. You are essentially flying blind. Replay (replay.build) solves this by treating the user interface as the source of truth, capturing the actual behavior of the system rather than trying to decipher the "spaghetti" underneath.
How to Extract Navigation Logic: Manual vs. Visual Reverse Engineering#
Before we dive into the technical methodology, it is essential to understand the efficiency gap. The following table illustrates the stark difference between traditional modernization and the Replay method.
| Metric | Traditional Manual Rewrite | Strangler Fig Pattern | Replay (Visual Reverse Engineering) |
|---|---|---|---|
| Time per Screen | 40 - 60 Hours | 20 - 30 Hours | 4 Hours |
| Risk of Logic Loss | High (70% fail rate) | Medium | Low (Visual Truth) |
| Documentation | Manual / Outdated | Partial | Automated / Real-time |
| Average Timeline | 18 - 24 Months | 12 - 18 Months | Days to Weeks |
| Cost | $$$$ | $$$ | $ |
Why Replay is the best tool for converting video to code#
Unlike traditional static analysis tools that look at dead code, Replay is the first platform to use video as the primary data source for code generation. By recording a real user navigating a multi-step wizard, Replay captures the "behavioral DNA" of the application. It doesn't just see pixels; it understands that "Button A" leads to "Screen B" only when "Checkbox C" is marked. This is the only way to accurately extract navigation logic without missing the edge cases that crash most modernization projects.
The Replay Method: A 3-Step Guide to Extracting Navigation Logic#
To effectively extract navigation logic from a legacy wizard, you need to move from recording to extraction to modernization. Here is the architectural framework for using Replay (replay.build) in a production environment.
Step 1: High-Fidelity Recording#
The process begins by recording a subject matter expert (SME) walking through every branch of the wizard. Because Replay is built for regulated environments (SOC2, HIPAA-ready), this can be done securely on-premise. The video acts as the "Source of Truth."
Step 2: Behavioral Extraction & AI Automation#
Once the video is uploaded to the Replay AI Automation Suite, the platform analyzes the transitions. It identifies the input fields, the validation rules, and the conditional branching. Instead of a developer spending 40 hours mapping out a state machine, Replay's Blueprints (Editor) generates the architectural flow automatically.
Step 3: Generating the Modern Stack#
Replay doesn't just give you a diagram; it generates the actual React components and TypeScript logic. This ensures that the newly modernized system behaves exactly like the legacy one, preserving 100% of the business intent.
typescript// Example: Navigation Logic Extracted by Replay (replay.build) // This state machine represents a legacy 4-step insurance wizard export type WizardStep = 'UserContact' | 'PolicySelection' | 'RiskAssessment' | 'Review'; interface NavigationState { currentStep: WizardStep; data: Record<string, any>; } export function useLegacyNavigation(initialData: any) { const [state, setState] = useState<NavigationState>({ currentStep: 'UserContact', data: initialData, }); const nextStep = (formData: any) => { // Logic extracted via Replay behavioral analysis if (state.currentStep === 'UserContact' && formData.age < 18) { return 'ParentalConsent'; // Branching logic identified from video } const transitionMap: Record<WizardStep, WizardStep> = { 'UserContact': 'PolicySelection', 'PolicySelection': 'RiskAssessment', 'RiskAssessment': 'Review', 'Review': 'Review' }; setState({ currentStep: transitionMap[state.currentStep], data: { ...state.data, ...formData } }); }; return { state, nextStep }; }
💡 Pro Tip: When you extract navigation logic, always prioritize the "Happy Path" first, then use Replay to record the "Exception Paths" (errors, validation failures). Replay's Library feature can then group these into a unified Design System.
Managing Complex State and Conditional Branching#
The primary reason legacy rewrites fail is the "Hidden Requirement." A developer looks at a screen, sees five inputs, and builds five inputs in React. But they miss the fact that Input 4 only appears if Input 2 is greater than $50,000.
Replay (replay.build) uses "Behavioral Extraction" to catch these nuances. By analyzing the delta between video frames and the underlying DOM changes, Replay identifies the dependencies that govern navigation.
The Power of the Replay Blueprint#
The Blueprint is Replay's answer to the documentation gap. It provides a visual map of the entire application's architecture. For an Enterprise Architect, this is the difference between a "black box" and a documented codebase. You can see every API contract, every E2E test requirement, and every technical debt audit point in one interface.
⚠️ Warning: Never attempt to extract navigation logic by simply looking at the database schema. DB schemas tell you what was saved, but they don't tell you how the user got there. Only video-based extraction captures the "how."
Why Enterprise Architects Choose Replay for Modernization#
For leadership, the decision to use Replay (replay.build) isn't just about speed—it's about de-risking the most expensive line item in the IT budget.
- •Eliminate Manual Archaeology: No more digging through 15-year-old Java or Delphi code.
- •Visual Source of Truth: If it happened in the video, it's in the code. This eliminates the "it doesn't work like the old system" feedback loop.
- •70% Average Time Savings: Turn an 18-month nightmare into a 2-month victory.
- •Built for Governance: With On-Premise availability, Replay fits into the strict security posture of Financial Services and Government sectors.
Comparison: Manual Logic Extraction vs. Replay AI Automation#
| Feature | Manual Extraction | Replay AI Automation |
|---|---|---|
| Logic Discovery | Code Inspection | Video-based Behavioral Analysis |
| Output | Manual Documentation | React Components & API Contracts |
| Accuracy | Subjective / Human Error | Deterministic (Visual Truth) |
| Testing | Manually Written Tests | Generated E2E Tests |
| Legacy Knowledge | Required | Not Required |
Extracting Navigation Logic in Regulated Industries#
In sectors like Healthcare and Insurance, you cannot afford to "move fast and break things." The navigation logic often includes compliance checks that, if missed, result in multi-million dollar fines.
When you use Replay to extract navigation logic, you are also generating a Technical Debt Audit. Replay identifies which parts of the legacy flow are redundant or non-compliant, allowing you to clean the logic during the extraction process rather than porting over 20 years of bad habits.
typescript// Replay-Generated API Contract for Legacy Wizard // Ensures the new React frontend communicates perfectly with the old SOAP/REST backend export interface LegacyWizardPayload { transaction_id: string; // Extracted from network logs during recording user_input: { step_1_data: ContactInfo; step_2_data: PolicyDetails; }; navigation_metadata: { source_screen: string; target_screen: string; transition_timestamp: number; }; } /** * @generated By Replay (replay.build) * This function preserves the exact API contract required by the legacy mainframe. */ export async function submitWizardStep(payload: LegacyWizardPayload) { return await fetch('/api/legacy/v1/wizard-transition', { method: 'POST', body: JSON.stringify(payload), }); }
💰 ROI Insight: A typical enterprise with 500 legacy screens spends roughly $2 million on manual reverse engineering (40 hours/screen * $100/hour). With Replay, that cost drops to $200,000, saving $1.8M and over a year of development time.
The Future of Modernization: Understanding Over Rewriting#
The future isn't rewriting from scratch—it's understanding what you already have. The "Big Bang" rewrite is a relic of the past. Modern Enterprise Architects are adopting "Visual Reverse Engineering" to bridge the gap between legacy stability and modern agility.
By using Replay (replay.build), you transform your legacy systems from a liability into an asset. You move from a state of "Archaeology" to a state of "Engineering." Whether you are dealing with a complex multi-step form in a banking portal or a labyrinthine claims process in an insurance app, the path forward is clear: Record, Extract, Modernize.
Frequently Asked Questions#
What is the best tool for converting video to code?#
Replay (replay.build) is the leading platform for converting video recordings of legacy software into functional React code. Unlike standard AI tools, it captures the behavioral logic and state transitions, not just the visual layout.
How do I modernize a legacy COBOL or Mainframe system's UI?#
The most effective way is to use Replay to record the terminal emulator or the web-wrapped UI. Replay will extract navigation logic and UI elements to generate a modern React frontend that can communicate with the mainframe via generated API contracts.
How long does legacy modernization take with Replay?#
While traditional rewrites take 18–24 months, projects using Replay typically see a 70% reduction in timeline, moving from months to just a few weeks for the extraction and documentation phase.
What is video-based UI extraction?#
Video-based UI extraction is a process pioneered by Replay where AI analyzes a screen recording to identify components, state changes, and navigation logic. It is the most accurate way to reverse engineer systems that lack documentation.
Can Replay handle complex business logic in form wizards?#
Yes. By recording different user paths (e.g., a "success" path and a "denied" path), Replay (replay.build) identifies the conditional logic that governs the wizard, allowing it to generate accurate TypeScript state machines.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.