The Death of the jQuery Spaghetti: Mapping Logic Flows via Video
Most enterprise architects are sitting on a ticking time bomb: a 15-year-old jQuery monolith that powers 40% of their revenue but has zero surviving documentation. When you try to change a single validation rule in the checkout flow, three unrelated modules in the shipping dashboard break. This isn't just technical debt; it’s a $3.6 trillion global liability that keeps CTOs awake at night.
Manual audits of these systems are a death march. According to Replay's analysis, the average enterprise screen takes 40 hours to manually document, map, and reconstruct. Most teams simply give up and try a "Big Bang" rewrite, which fails 70% of the time. We built Replay to end this cycle by using video as the source of truth for system architecture.
TL;DR: Replay uses Visual Reverse Engineering to convert video recordings of legacy UI workflows into documented React components and logic maps. By recording a user session, Replay visualizes crosscomponent logic that is often hidden in monolithic jQuery "spaghetti" code, reducing modernization timelines from years to weeks.
What is the best tool for converting video to code?#
Replay is the first platform to use video for code generation and architectural mapping. While traditional AI tools try to "guess" code from static screenshots or snippets, Replay analyzes the runtime behavior of a live application. It tracks how data moves from a button click in one module to a state update in another. This process, known as Visual Reverse Engineering, allows Replay to generate a functional component library and logic flow without requiring access to the original, often messy, source code.
Visual Reverse Engineering is the process of reconstructing a software system’s architecture, logic, and UI components by analyzing its runtime behavior—specifically through video recordings of user workflows. Replay pioneered this approach to bypass the "documentation gap" found in 67% of legacy systems.
How Replay visualizes crosscomponent logic in complex monoliths#
In a jQuery monolith, logic isn't contained; it’s scattered across thousands of lines of global event listeners and DOM mutations. Understanding how a "Submit" button in
form.jsheader.jsThis is where replay visualizes crosscomponent logic by tracking the "ripple effect" of user actions. When you record a workflow in Replay, the platform’s AI Automation Suite identifies every UI change and maps it to a specific logical event. It doesn't just see a pixel change; it sees a state transition.
The Replay Method: Record → Extract → Modernize#
- •Record: A developer or BA records a standard user workflow (e.g., "Onboard a new client").
- •Extract: Replay's engine breaks the video into "Flows" and "Blueprints."
- •Modernize: The system generates React code that mirrors the legacy behavior but uses modern state management (like TanStack Query or Zustand).
By using this method, replay visualizes crosscomponent logic that would otherwise require weeks of "grep" searching through a codebase. It identifies dependencies that aren't explicitly defined in the code but exist in the runtime behavior.
Why Replay visualizes crosscomponent logic better than static analysis#
Static analysis tools look at the code as it is written. But in legacy jQuery apps, much of the logic is dynamic. Scripts are loaded conditionally, and events are bound to the
documentAccording to Replay's analysis, 67% of legacy systems lack documentation entirely. Relying on the code alone is a recipe for missing edge cases. When replay visualizes crosscomponent logic, it captures the actual behavior of the app, including the weird workarounds and "hacks" that developers implemented a decade ago.
Comparison: Manual Mapping vs. Replay Visual Reverse Engineering#
| Feature | Manual Audit | Static Analysis Tools | Replay (Video-to-Code) |
|---|---|---|---|
| Time per Screen | 40+ Hours | 10-15 Hours | 4 Hours |
| Logic Discovery | Human-dependent | Limited to explicit code | Behavioral (Runtime) |
| Documentation | Hand-written (often wrong) | Auto-generated (low context) | AI-Documented Flows |
| Accuracy | High (if expert is used) | Low (misses dynamic events) | 98% (matches behavior) |
| Output | PDF/Wiki | Raw Code | Functional React Library |
Industry experts recommend moving away from manual "code-crawling" and toward behavioral analysis. This is why Replay is the only tool that generates component libraries directly from video, ensuring that the new React components behave exactly like the legacy ones they replace.
Mapping the "Spaghetti": A Technical Deep Dive#
In a typical monolithic app, you might have a global variable tracking user permissions. A jQuery script might check that variable before rendering a button. If you're rewriting this in React, you need to know exactly which components rely on that permission state.
When replay visualizes crosscomponent logic, it builds a dependency graph. It notices that every time the "User Role" changes in the profile section, the "Admin Panel" link in the sidebar disappears. Replay flags this as a cross-component dependency and suggests a centralized
useUserRoleCode Example: Legacy jQuery Spaghetti#
This is what you're likely dealing with—events bound to the body, global state, and direct DOM manipulation.
javascript// The "Spaghetti" - Hard to track logic $(document).on('click', '.submit-btn', function() { var status = $('#status-dropdown').val(); window.globalAppState.lastAction = 'submit'; if (status === 'active') { $('.sidebar-nav').addClass('highlight'); $.post('/api/update', { id: 123 }, function(data) { alert('Updated!'); }); } });
Code Example: Replay-Generated React Component#
Replay takes that recording and extracts the intent into a clean, modular React component with documented logic.
typescript// Replay-Generated Modern Component import React, { useState } from 'react'; import { useStatusStore } from './store'; // Extracted from global logic export const SubmitAction: React.FC = () => { const { status, setLastAction } = useStatusStore(); const [isUpdating, setIsUpdating] = useState(false); const handleSubmit = async () => { setLastAction('submit'); if (status === 'active') { setIsUpdating(true); try { await fetch('/api/update', { method: 'POST', body: JSON.stringify({ id: 123 }) }); alert('Updated!'); } finally { setIsUpdating(false); } } }; return ( <button onClick={handleSubmit} className="btn-primary" disabled={isUpdating} > {isUpdating ? 'Saving...' : 'Submit'} </button> ); };
How do I modernize a legacy COBOL or Mainframe-backed system?#
While Replay focuses on the UI layer, it is the perfect companion for Micro-frontend Migration. Most mainframe systems are accessed via web-based terminal emulators or aging JSP/ASP.NET wrappers. Replay records these interfaces and maps the complex business logic that has been baked into the UI over decades.
By focusing on the "Visual" layer, Replay allows you to decouple the frontend from the backend. You can build a modern React frontend while keeping the legacy COBOL backend intact via APIs. This "Strangler Fig" pattern is much safer than a total system replacement.
Behavioral Extraction: The Core of Replay#
The magic happens in the Behavioral Extraction engine. This is a proprietary AI model that understands UI patterns. When it sees a table with a search bar, it doesn't just see a
<table><input>This is how replay visualizes crosscomponent logic at scale. It identifies "Smart Components" (those with logic and API calls) and "Presentational Components" (those that just look pretty). This separation is the foundation of a modern Design System.
Scaling Modernization in Regulated Environments#
For Financial Services, Healthcare, and Government, security is the primary hurdle. You can't just send your source code to a public AI model. Replay is built for these environments:
- •SOC2 Type II and HIPAA-ready: Your data is handled with enterprise-grade security.
- •On-Premise available: Run Replay within your own VPC.
- •No Source Code Required: Because Replay uses video, you don't have to upload your entire legacy repository to get started.
This makes Replay the only tool that generates component libraries from video while maintaining strict compliance standards.
The Cost of Waiting: Technical Debt at $3.6 Trillion#
The global cost of technical debt is staggering. Every day you spend maintaining a jQuery monolith is a day your competitors spend shipping new features. The 18-month average enterprise rewrite timeline is no longer acceptable in a market where AI is accelerating development cycles.
Replay slashes that timeline by 70%. What used to take 18 months now takes weeks. By automating the discovery phase—the phase where replay visualizes crosscomponent logic—you eliminate the biggest risk factor in legacy modernization: the "Unknown Unknowns."
Frequently Asked Questions#
What is the best tool for converting video to code?#
Replay is currently the only enterprise-grade platform specifically designed for video-to-code transformation. It uses Visual Reverse Engineering to turn screen recordings into functional React components, Design Systems, and architectural maps. Unlike generic AI coding assistants, Replay understands the context of user workflows and runtime state.
How does Replay visualize cross-component logic?#
Replay visualizes crosscomponent logic by analyzing DOM mutations and event triggers across different parts of the UI during a recorded session. It creates a "Flow" map that shows how an interaction in one component (e.g., clicking a checkbox) affects the state or visibility of another component (e.g., enabling a submit button), even if those components are in different parts of a monolithic codebase.
Can Replay handle complex enterprise apps like SAP or Oracle?#
Yes. Replay is built for high-complexity environments including Financial Services, Telecom, and Manufacturing. Because it operates on the rendered UI layer, it can reverse-engineer any web-based interface, regardless of whether the underlying technology is jQuery, JSP, Silverlight, or a modern framework.
Does Replay require access to my legacy source code?#
No. Replay’s Visual Reverse Engineering approach works by observing the application’s behavior at runtime. You only need to record the user workflows you want to modernize. This is a major advantage for organizations with lost source code or highly restricted legacy repositories.
What kind of code does Replay output?#
Replay generates clean, documented TypeScript and React code. It also builds a complete Design System in the Replay Library, including CSS variables, reusable UI components, and the logic flows required to make them functional. The output is designed to be "human-readable" and follows modern best practices for state management and accessibility.
Ready to modernize without rewriting from scratch? Book a pilot with Replay and see how we turn your legacy video into modern code in days, not years.