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February 9, 20269 min readvisual extraction static

Visual Extraction vs. Static Analysis: Why Code Isn't Always the Source of Truth

R
Replay Team
Developer Advocates

Your legacy codebase is lying to you.

The industry has long operated under the delusion that "the code is the source of truth." We tell our architects that if they just dig deep enough into the repository, they’ll find the requirements. We spend millions on static analysis tools, hoping a sophisticated AST (Abstract Syntax Tree) parser will magically reveal the business logic buried under fifteen years of technical debt.

It won’t.

Static analysis tells you what the code is, but in legacy environments—where 67% of systems lack documentation—what the code is often bears little resemblance to what the business actually does. The real source of truth isn't hidden in a forgotten

text
.vb
file or a convoluted stored procedure; it’s happening right now on your users' screens.

TL;DR: Visual extraction bypasses the "archaeology" phase of modernization by using real-time user workflows as the source of truth, reducing modernization timelines from years to weeks.

The Archaeology Trap: Why Static Analysis Fails Legacy Systems#

Most enterprise modernization projects begin with "The Audit." A team of high-priced consultants spends six months performing static analysis on a monolithic codebase. They use grep, dependency mappers, and legacy scanners to try and understand the system.

The result? They find 40% dead code, 30% redundant logic, and 100% confusion. Static analysis is a post-mortem on a codebase that has likely evolved through "emergency patches" and "temporary workarounds" that became permanent.

The Problem of "Ghost Logic"#

In a typical legacy environment (Financial Services or Healthcare), the code is littered with conditional branches for products that no longer exist or regulatory requirements that were repealed in 2012. Static analysis cannot distinguish between a mission-critical edge case and a dead code path.

When you rely on static analysis for a "Big Bang" rewrite, you end up migrating the bugs, the bloat, and the technical debt of the old system into the new one. This is why 70% of legacy rewrites fail or exceed their timelines. You aren't modernizing; you're just translating technical debt into a newer language.

The $3.6 Trillion Bottleneck#

Global technical debt has ballooned to $3.6 trillion. The bottleneck isn't writing the new code—AI can generate React components in seconds. The bottleneck is understanding what needs to be written. Manual documentation takes an average of 40 hours per screen. When you have an enterprise suite with 500+ screens, the math simply doesn't work for an 18-month timeline.

Visual Extraction: A New Paradigm#

Visual extraction shifts the focus from the instruction (the code) to the outcome (the UI and Data). By recording real user workflows, tools like Replay can reverse-engineer the "intent" of the system rather than just the "implementation."

FeatureStatic AnalysisVisual Extraction (Replay)
Primary SourceRaw Source Code / BinariesUser Workflows / Runtime Execution
AccuracyHigh (for syntax), Low (for intent)High (for current business logic)
Noise LevelVery High (includes dead code)Low (only captures active paths)
OutputDependency Graphs / Complexity ScoresReact Components / API Contracts / E2E Tests
TimelineMonths of "Archaeology"Days of Recording
RiskHigh (Migrating legacy bugs)Low (Capturing proven workflows)

💰 ROI Insight: Companies using Replay see an average of 70% time savings. A manual screen extraction that typically takes 40 hours is reduced to just 4 hours through automated visual reverse engineering.

Why "Visual" Beats "Static" for Modernization#

When you record a workflow in Replay, you aren't just taking a video. You are capturing the DOM state, the network calls, the data transformations, and the visual hierarchy.

1. Intent Over Implementation#

Static analysis might show a complex series of nested

text
if-else
statements in a COBOL or Java backend. Visual extraction shows that, regardless of that complexity, the user enters a Social Security Number and receives a credit score. Replay captures that "Flow" and generates a clean, modern API contract and a React component that mirrors that behavior, without the "spaghetti" baggage.

2. Automatic Documentation of "Shadow Processes"#

In industries like Insurance or Government, users often have "workarounds" that aren't in any manual. Static analysis will never find these because they often involve specific sequences of user inputs that bypass certain code paths. Visual extraction captures the actual way the business operates.

3. Bridging the Gap to Modern Tech Stacks#

Static analysis tools are usually language-specific. If you're moving from a legacy Delphi or PowerBuilder app to a modern React/Node.js stack, a static analyzer for Delphi won't help you write React. Replay bridges this gap by generating documented React components directly from the recorded visual state.

typescript
// Example: Modernized Component Generated via Replay Visual Extraction // Source: Legacy Claims Processing Screen (Recorded Workflow) import React, { useState, useEffect } from 'react'; import { Button, Input, Card } from '@/components/ui'; // Design System Library interface ClaimData { claimId: string; policyNumber: string; status: 'PENDING' | 'APPROVED' | 'REJECTED'; } export function ClaimDetailView({ id }: { id: string }) { const [claim, setClaim] = useState<ClaimData | null>(null); const [loading, setLoading] = useState(true); // Replay automatically identified this API contract from network captures async function fetchClaimDetails() { const response = await fetch(`/api/v1/claims/${id}`); const data = await response.json(); setClaim(data); setLoading(false); } useEffect(() => { fetchClaimDetails(); }, [id]); if (loading) return <div>Loading legacy context...</div>; return ( <Card className="p-6"> <h2 className="text-xl font-bold">{claim?.claimId}</h2> <div className="grid grid-cols-2 gap-4 mt-4"> <Input label="Policy Number" value={claim?.policyNumber} readOnly /> <div className={`status-badge ${claim?.status.toLowerCase()}`}> {claim?.status} </div> </div> {/* Business logic preserved: Only show 'Approve' if status is PENDING */} {claim?.status === 'PENDING' && ( <Button onClick={() => {/* Logic extracted from workflow */}}> Approve Claim </Button> )} </Card> ); }

⚠️ Warning: Do not attempt to "auto-convert" legacy code line-by-line. This is the fastest way to ensure your new system is just as brittle as your old one. Use visual extraction to define the interface and intent, then build fresh.

The Replay Methodology: From Black Box to Documented Codebase#

Modernizing a system with Replay doesn't require a team of 50 developers and a two-year roadmap. It follows a structured, visual-first approach.

Step 1: Workflow Mapping#

Instead of reading code, your subject matter experts (SMEs) use the legacy system while Replay records the session. This captures the "happy path" and critical edge cases.

Step 2: Visual Extraction & Componentization#

Replay’s AI Automation Suite analyzes the recording. It identifies recurring UI patterns and maps them to your new Design System (The Library). If a specific table or form appears across 50 legacy screens, Replay identifies it as a single, reusable React component.

Step 3: API Contract Generation#

While the UI is being extracted, Replay monitors the "under-the-wire" traffic. It automatically generates OpenAPI/Swagger specifications based on the data actually being sent and received, creating a blueprint for your new microservices.

Step 4: Technical Debt Audit#

Replay compares the "Visual Truth" (what the user does) with the "Static Code" (what's in the repo). It highlights "Ghost Logic"—code that exists but is never triggered—allowing your team to safely decommission massive portions of the legacy estate.

typescript
/** * REPLAY TECH DEBT AUDIT REPORT * System: Claims Management Monolith * * Identified: 42 Unreachable Code Paths * Identified: 12 Redundant API Calls * * Visual Coverage: 88% of user-facing features documented * Manual Effort Saved: ~1,200 man-hours */ // Example of an identified redundant logic block found via static vs visual comparison function legacyValidation() { // This block was found in the source code but NEVER triggered // across 500+ recorded Replay sessions. // Conclusion: Safe to remove. if (globalSettings.legacyMode === '1998_COMPAT') { // ... archaic logic ... } }

Challenging the "Big Bang" Convention#

The "Big Bang" rewrite is a relic of the waterfall era. It assumes you can freeze the business for two years while you rebuild. In a regulated environment (SOC2, HIPAA), this is impossible.

Visual extraction enables a "Strangler Fig" approach on steroids. Because you have the Blueprints and Flows documented by Replay, you can replace the system screen-by-screen, workflow-by-workflow, with 100% confidence that the business logic is preserved.

📝 Note: Replay is built for regulated environments. Whether you are in Financial Services or Government, Replay offers On-Premise deployment to ensure that your sensitive "Source of Truth" recordings never leave your firewall.

Frequently Asked Questions#

How does visual extraction handle complex back-end business logic?#

Visual extraction captures the result of that logic. If a complex calculation happens on the server, Replay captures the input sent to the server and the output returned. This allows you to create a "Black Box" test suite. You can then rewrite the backend logic in a modern language and use the Replay-generated E2E tests to ensure the output remains identical to the legacy system.

Does Replay replace my developers?#

No. Replay replaces the "archaeology" and "manual documentation" phases that developers hate. It provides them with clean React components, documented API contracts, and a clear architectural map. It allows your senior architects to focus on high-level design rather than deciphering 20-year-old COBOL.

How does this work with "Green Screen" or Terminal-based legacy systems?#

Visual extraction isn't limited to web apps. Replay can interface with various legacy environments to record the screen state and data flow, translating even the most "primitive" interfaces into modern, structured data and UI components.

What is the typical time-to-value?#

Most enterprises see documented, modernized components within the first week of using Replay. Instead of waiting 18 months for a "Big Bang" release, you get incremental value in days.


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

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