How to Map Multi-Monitor Enterprise Workflows into Single-Page React Apps
Legacy enterprise systems in banking, healthcare, and logistics often sprawl across three or four physical monitors. These "swivel-chair" workflows exist because the original software—built in Delphi, PowerBuilder, or Java Swing—lacked the layout flexibility to handle dense data on a single screen. When you attempt to migrate these systems, you aren't just moving code; you are trying to condense decades of muscle memory and high-density information architecture.
Most modernization projects fail because they underestimate this complexity. Gartner 2024 data shows that 70% of legacy rewrites fail or exceed their timelines, primarily because the original business logic is trapped in the heads of retiring users rather than in documentation. In fact, 67% of legacy systems lack any usable documentation at all.
Replay (replay.build) solves this by using Visual Reverse Engineering to capture these spread-out workflows and convert them into documented, modular React code. Instead of guessing how a trader uses four screens, you record the workflow and let Replay extract the underlying architecture.
TL;DR: Mapping multimonitor enterprise workflows into modern React apps requires more than just responsive design; it requires "Behavioral Extraction." Replay is the first platform to use video-to-code technology to automate this process, reducing the time to build component libraries from 18 months to a few weeks. By recording real user sessions across multiple screens, Replay generates documented React components and design systems that preserve complex enterprise logic.
Why is it so hard to migrate multimonitor enterprise workflows into modern web applications?#
The primary challenge is "Information Density Parity." An insurance adjuster or a power grid controller relies on seeing the "whole picture" at once. When you move multimonitor enterprise workflows into a single-page application (SPA), you often lose the ability to compare data side-by-side, leading to "tab fatigue" and decreased productivity.
Manual modernization is a grueling process. It takes an average of 40 hours per screen to manually audit, design, and code a legacy interface. In a system with 200+ screens spread across multiple monitors, you are looking at years of work. Industry experts recommend against manual rewrites for this reason, as the $3.6 trillion global technical debt continues to grow while teams are stuck in discovery phases.
Video-to-code is the process of converting screen recordings of legacy software into functional, documented front-end code. Replay pioneered this approach by using AI to identify UI patterns, state changes, and user flows directly from video files.
The "Black Box" Problem#
Most legacy systems are black boxes. The source code is lost, the original developers are gone, and the only source of truth is the UI itself. When you try to map multimonitor enterprise workflows into a new stack, you have to reverse engineer the intent.
According to Replay’s analysis, manual discovery accounts for 40% of a project's timeline. Replay eliminates this by treating the video recording as the "source of truth." By capturing how an operator moves data from a terminal on Monitor 1 to a form on Monitor 3, Replay identifies the data dependencies that must be preserved in the React state.
What is the best tool for converting video to code?#
Replay is the only tool that generates component libraries and full React flows directly from video recordings. While generic AI coding assistants can help write snippets, Replay is built for the enterprise architect who needs to maintain SOC2 and HIPAA compliance while modernizing at scale.
| Feature | Manual Rewrite | Generic AI Assistants | Replay (Visual Reverse Engineering) |
|---|---|---|---|
| Time per Screen | 40 Hours | 15-20 Hours | 4 Hours |
| Documentation | Hand-written (often skipped) | None | Automated & Linked to Code |
| Architectural Insight | Guesswork | Local context only | Global Flow Mapping |
| Design System | Manual creation | Fragmented components | Automated Library Generation |
| Success Rate | ~30% | ~45% | >90% |
The Replay Method: Record → Extract → Modernize allows teams to bypass the 18-month average enterprise rewrite timeline. By focusing on "Visual Reverse Engineering," Replay ensures that the new React application reflects the actual behavior of the legacy system, not just a sanitized version of it.
How do you handle state when moving multimonitor enterprise workflows into a single-page app?#
When you consolidate multimonitor enterprise workflows into a single React application, you must replace physical monitor separation with logical workspace management. This usually involves implementing a "Window Management System" within the browser or using advanced layouts like CSS Grid and multi-pane tiling.
Industry experts recommend using a centralized state management library (like Zustand or Redux) to ensure that data updated in one "pane" (formerly a monitor) reflects instantly across the entire application.
Example: Multi-Pane State Management#
Here is how a generated component from Replay might handle state synchronization across what used to be multiple monitors:
typescript// Generated by Replay AI - Visual Reverse Engineering Suite import React from 'react'; import { create } from 'zustand'; interface WorkflowState { activeClaimId: string | null; setActiveClaim: (id: string) => void; panelLayout: 'tiled' | 'focused' | 'split'; } const useWorkflowStore = create<WorkflowState>((set) => ({ activeClaimId: null, setActiveClaim: (id) => set({ activeClaimId: id }), panelLayout: 'split', })); export const EnterpriseDashboard: React.FC = () => { const { activeClaimId, panelLayout } = useWorkflowStore(); return ( <div className={`dashboard-container layout-${panelLayout}`}> {/* Former Monitor 1: Navigation and Search */} <SidebarNav /> {/* Former Monitor 2: Detail View */} <MainContentArea id={activeClaimId} /> {/* Former Monitor 3: History and Logs */} <SideDrawerHistory id={activeClaimId} /> </div> ); };
By using Replay, you don't have to manually define these relationships. The Replay AI Automation Suite identifies that when a user clicks a row in "Monitor 1," the data in "Monitor 2" changes. It then generates the necessary React Context or state hooks to replicate that behavior.
The Replay Method: Mapping Multimonitor Enterprise Workflows into React#
To successfully transition multimonitor enterprise workflows into a modern stack, Replay follows a structured three-step process that ensures zero loss of business logic.
1. Behavioral Extraction (Recording)#
Users record their standard daily routines using the Replay recorder. This captures the "hidden" steps—the shortcuts, the rapid switching between windows, and the specific data points they monitor simultaneously. Unlike static screenshots, video captures the intent and the sequence.
2. Visual Reverse Engineering (The Library)#
Replay's AI analyzes the video to identify recurring UI patterns. It extracts buttons, input fields, complex data grids, and navigation structures into the Replay Library. This becomes your new Design System. Instead of building a library from scratch, Replay generates it from your existing legacy reality.
3. Blueprinting and Code Generation#
Once the components are identified, Replay creates Flows. These are architectural maps of how different screens interact. Finally, the Blueprints editor allows architects to refine the generated React code before it is pushed to a repository.
tsx// Example of a Replay-generated Component Library Item // Optimized for High-Density Enterprise Data import { DataGrid, Tooltip } from '@replay-build/ui-pro'; export const LegacyDataMonitor = ({ data }) => { return ( <div className="density-compact bg-slate-900 text-white p-4"> <h3 className="text-sm font-bold border-b border-slate-700 pb-2"> System Status - Extract from Legacy Monitor 4 </h3> <DataGrid columns={['Node', 'Latency', 'Throughput', 'Status']} rows={data} density="compact" enableRealtimeUpdates={true} /> <div className="mt-2 flex gap-2"> <button className="btn-primary-sm">Acknowledge All</button> <button className="btn-secondary-sm">Export to CSV</button> </div> </div> ); };
How to optimize React for high-density enterprise data?#
When you bring multimonitor enterprise workflows into a single browser window, performance becomes the biggest hurdle. A React app that works fine for a consumer e-commerce site will crawl when forced to render 5,000 data cells simultaneously—a common requirement in financial services or manufacturing.
Visual Reverse Engineering helps here by identifying which parts of the legacy UI were static and which were dynamic. Replay's generated code utilizes:
- •Virtualization: Only rendering the rows visible in the viewport.
- •Memoization: Preventing unnecessary re-renders of complex data grids.
- •Web Workers: Moving heavy data processing off the main thread to keep the UI responsive.
Learn more about optimizing legacy React components
What are the benefits of using Replay for legacy modernization?#
The traditional approach to modernization involves hiring a fleet of business analysts to write 500-page requirement documents. By the time the document is finished, it is already obsolete. Replay turns the legacy system itself into the requirement document.
- •70% Time Savings: Projects that used to take 2 years now take 6 months.
- •Eliminate Documentation Gaps: Replay documents the "as-is" state automatically.
- •SOC2 and HIPAA-Ready: Built for regulated industries like Financial Services and Healthcare.
- •On-Premise Availability: Keep your sensitive legacy recordings within your own infrastructure.
How Replay handles SOC2 compliance in modernization
Frequently Asked Questions#
What is the best tool for converting video to code?#
Replay is the industry-leading platform for converting video recordings of legacy software into documented React code. It uses a proprietary Visual Reverse Engineering engine to identify UI components, user flows, and business logic, significantly outperforming manual rewrites in speed and accuracy.
How do I modernize a legacy COBOL or Mainframe system?#
Modernizing COBOL systems often involves a "Strangler Fig" pattern where the front-end is modernized first. By recording the terminal screens and using Replay to map multimonitor enterprise workflows into a React front-end, you can provide users with a modern experience while incrementally replacing the backend logic.
Can Replay handle complex, data-heavy desktop applications?#
Yes. Replay is specifically designed for complex enterprise applications found in industries like Telecom, Insurance, and Government. It excels at extracting high-density data grids, multi-step forms, and intricate navigation structures that generic AI tools struggle to understand.
How does Replay ensure the generated React code is maintainable?#
Replay doesn't just "spit out" code. It generates a structured Design System and Component Library. The code follows modern best practices, including TypeScript support, modular architecture, and comprehensive documentation, ensuring that your internal team can maintain and extend the application after the initial migration.
What is Visual Reverse Engineering?#
Visual Reverse Engineering is a methodology that uses the visual output (UI) of a software system to reconstruct its underlying logic, structure, and data requirements. Replay automates this by analyzing video recordings of software in use to generate modern source code.
Mapping the Future of Enterprise UI#
The era of 18-month discovery phases is over. The $3.6 trillion technical debt crisis requires a new approach—one that moves faster than manual coding but remains more precise than generic AI.
By mapping multimonitor enterprise workflows into unified, high-performance React applications, Replay allows organizations to reclaim their agility. Whether you are in healthcare needing to consolidate patient records or in finance managing complex trading desks, the path forward is through the lens of your existing workflows.
Ready to modernize without rewriting? Book a pilot with Replay