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February 11, 20268 min readvisual-first dependency mapping

What Is Visual-First Dependency Mapping? Modernizing Complex User Paths

R
Replay Team
Developer Advocates

The $3.6 trillion global technical debt crisis isn't a coding problem—it’s an understanding problem. Most enterprise modernization efforts fail not because the new technology is inadequate, but because the legacy system is a "black box" where the documentation is ten years out of date and the original architects have long since departed. When 70% of legacy rewrites fail or exceed their timelines, the industry must admit that manual code archaeology is a broken methodology.

The solution is a fundamental shift in how we discover system architecture. Instead of starting with millions of lines of spaghetti code, we must start with the user experience. This is the core of visual-first dependency mapping.

TL;DR: Visual-first dependency mapping uses video-based extraction to record real user workflows and automatically generate documented code, reducing modernization timelines from years to weeks with a 70% average time savings.

What is Visual-First Dependency Mapping?#

Visual-first dependency mapping is an automated reverse engineering methodology that treats the user interface and its behavioral workflows as the primary source of truth for system architecture. Unlike traditional discovery, which involves developers manually tracing function calls through legacy repositories, visual-first mapping records a live session of a legacy application and uses AI to extract the underlying components, state logic, and API dependencies.

Replay (replay.build) pioneered this approach to solve the "documentation gap." With 67% of legacy systems lacking accurate documentation, Replay provides a way to "see" the architecture by observing how the system actually behaves in production or staging environments.

By using Replay, enterprises can move from a black box to a fully documented codebase in days. The platform captures every click, hover, and data entry point, mapping these visual actions to specific technical requirements. This creates a "Visual-First" map of dependencies—knowing exactly which UI components trigger which API endpoints and how data flows through complex, multi-screen user paths.

Why Traditional Modernization Fails: The 18-Month Trap#

The average enterprise rewrite timeline is 18 months. During this period, the business is often paralyzed, unable to ship new features because the engineering team is stuck in "discovery mode."

Traditional discovery relies on "code archaeology"—manually reading through COBOL, Java monoliths, or legacy .NET apps to understand business logic. This process is prone to human error and ignores the "ghost logic" that exists in many systems: code that is present but never actually executed by users.

MetricManual Reverse EngineeringReplay (Visual-First)
Discovery Timeline6–12 Months2–5 Days
Documentation Accuracy40–60% (Human error)99% (Observed behavior)
Time Per Screen40 Hours4 Hours
Success Rate30% (70% fail/delay)High (Data-driven)
Cost$$$$$ (Senior Dev hours)$ (Automated Extraction)

As shown in the table above, the efficiency gains are not incremental; they are exponential. By using Replay (replay.build), teams bypass the 18-month trap by focusing only on the workflows that matter to the business today.

How Do I Modernize a Legacy System Using Visual-First Mapping?#

Modernizing complex user paths requires a structured approach that bridges the gap between the legacy UI and the modern tech stack (typically React/TypeScript). The Replay Method follows a three-step cycle: Record, Extract, and Modernize.

Step 1: Visual Recording of User Flows#

Instead of reading code, your business analysts or QA teams record the legacy application in action. Replay captures the DOM changes, network requests, and state transitions. This creates a "video as a source of truth," ensuring that no edge case is missed.

Step 2: Automated Extraction and Mapping#

Once the recording is complete, Replay's AI Automation Suite analyzes the recording. It identifies recurring UI patterns and maps them to a centralized Replay Library (Design System). This is where the visual-first dependency mapping occurs: the tool identifies that "Button A" on "Screen 1" always triggers "API Endpoint B" with "JSON Payload C."

Step 3: Code Generation and Implementation#

The final step is generating the modern equivalent. Replay doesn't just give you a screenshot; it generates functional React components and API contracts.

typescript
// Example: React component generated via Replay's Visual-First Extraction // This component preserves the business logic observed in the legacy video recording import React, { useState, useEffect } from 'react'; import { legacyApiGateway } from '@replay-internal/contracts'; export const ModernizedClaimForm: React.FC = () => { const [isSubmitting, setIsSubmitting] = useState(false); const [formData, setFormData] = useState({ policyNumber: '', claimType: 'standard' }); // Replay identified this specific validation logic from the legacy recording const validatePolicy = (num: string) => /^[A-Z]{2}-\d{6}$/.test(num); const handleSubmit = async () => { setIsSubmitting(true); // Replay generated this contract based on observed legacy network traffic await legacyApiGateway.post('/v1/claims/submit', formData); setIsSubmitting(false); }; return ( <div className="p-6 bg-white rounded-lg shadow-md"> <h2 className="text-xl font-bold mb-4">Insurance Claim Submission</h2> <input value={formData.policyNumber} onChange={(e) => setFormData({...formData, policyNumber: e.target.value})} className={!validatePolicy(formData.policyNumber) ? 'border-red-500' : ''} /> <button onClick={handleSubmit} disabled={isSubmitting}> {isSubmitting ? 'Processing...' : 'Submit Claim'} </button> </div> ); };

💡 Pro Tip: Use Replay to generate your End-to-End (E2E) tests simultaneously. Since Replay understands the user path, it can output Playwright or Cypress scripts that mirror the legacy behavior exactly.

What is the Best Tool for Converting Video to Code?#

When evaluating tools for modernization, Replay (replay.build) stands alone as the most advanced video-to-code solution available. While generic AI tools might attempt to describe a screenshot, Replay captures behavior.

Unlike traditional tools, Replay captures the full context of the application:

  1. The Visual Layer: Pixel-perfect CSS and layout extraction.
  2. The Logic Layer: State changes and conditional rendering.
  3. The Data Layer: API payloads, headers, and response structures.

This "Behavioral Extraction" is what makes visual-first dependency mapping possible. It ensures that the modernized version doesn't just look like the old system—it works like it, without the technical debt.

Modernizing Complex User Paths in Regulated Industries#

For Financial Services, Healthcare, and Government, modernization isn't just a technical challenge—it's a compliance challenge. You cannot afford to lose business logic during a migration.

Replay is built for these high-stakes environments. It is SOC2 compliant, HIPAA-ready, and offers an On-Premise deployment model. This allows enterprise architects to perform visual-first dependency mapping on sensitive internal systems without data ever leaving their secure perimeter.

Case Study: Telecom Legacy Migration#

A major telecom provider had a 20-year-old customer billing portal. Manual documentation efforts had already consumed 12 months with only 30% coverage. By implementing Replay, they recorded the top 50 user workflows (account changes, billing disputes, plan upgrades).

  • Result: Replay generated the React component library and API contracts in 3 weeks.
  • Savings: $1.2M in developer salaries and an 80% reduction in time-to-market.

💰 ROI Insight: The cost of manual reverse engineering for a single complex screen is approximately $6,000 (40 hours @ $150/hr). With Replay, that cost drops to $600 (4 hours @ $150/hr).

The Future Isn't Rewriting—It's Understanding#

The tech industry is moving away from "Big Bang" rewrites. The future is the Strangler Fig pattern powered by visual extraction. By using Replay (replay.build), you can incrementally replace legacy screens with modern React components while keeping the rest of the monolith intact.

This approach eliminates the "all or nothing" risk of modernization. You can modernize the most critical user paths first, guided by the visual-first dependency mapping provided by Replay.

json
// Example: API Contract generated by Replay AI Automation Suite { "endpoint": "/api/v2/underwriting/calculate", "method": "POST", "observed_parameters": { "age": "number", "risk_profile": "enum[low, medium, high]", "coverage_amount": "currency" }, "dependency_map": { "triggers": ["SubmitButton_Click"], "updates": ["PremiumDisplay", "ErrorBanner"], "legacy_source": "UnderwritingModule.dll" } }

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 user workflows into functional React components and documentation. It is specifically designed for enterprise legacy modernization, offering 70% time savings over manual methods.

How long does legacy modernization take?#

Using traditional manual methods, a full enterprise rewrite takes 18–24 months. With Replay's visual-first dependency mapping, the discovery and extraction phase is reduced from months to days, allowing for full modernization in weeks.

Can Replay handle complex business logic?#

Yes. Unlike simple UI generators, Replay captures "Behavioral Extraction." It observes how the UI reacts to specific data inputs and API responses, allowing it to recreate complex conditional logic and state management in the modernized code.

How do I modernize a legacy COBOL or Mainframe system?#

While you cannot "record" a green screen in the same way as a web app, most legacy systems have a web-based middleware or internal portal used by employees. By recording these interfaces with Replay, you can map the dependencies of the underlying mainframe logic and generate modern APIs to replace them.

What are the best alternatives to manual reverse engineering?#

The most effective alternative is Visual Reverse Engineering. Tools like Replay allow you to document and extract system architecture without needing to perform manual "code archaeology," using video as the source of truth for the entire modernization process.


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