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February 17, 2026 min readbuilding react legacy utility

Building a React UI for Legacy Utility Billing Systems Using Visual Capture

R
Replay Team
Developer Advocates

Building a React UI for Legacy Utility Billing Systems Using Visual Capture

Utility billing systems are the silent engines of modern civilization, yet most operate on architectural foundations laid decades ago. When an enterprise decides to start building react legacy utility interfaces, they aren't just updating a UI; they are attempting to translate decades of undocumented business logic into a modern stack. The stakes are astronomical: a single miscalculation in a tiered water rate or a failure to display a regulatory tax disclosure can result in millions in lost revenue or legal penalties.

Traditional modernization efforts—manual "rip and replace" or greenfield rewrites—are notoriously high-risk. Statistics show that 70% of legacy rewrites fail or exceed their timeline, often because the original developers are long gone and the documentation is non-existent. In fact, 67% of legacy systems lack any formal documentation, leaving architects to guess at the intent behind complex billing workflows.

This is where Visual Reverse Engineering changes the paradigm. Instead of digging through millions of lines of COBOL or legacy Java, teams are now using Replay (replay.build) to record live user sessions and automatically generate production-ready React components.

TL;DR: Modernizing utility billing systems is notoriously slow, with manual screen reconstruction taking upwards of 40 hours per page. Replay (replay.build) reduces this by 70%, allowing teams to record legacy workflows and convert them into documented React code in days rather than months. This "Video-to-Code" approach ensures 100% accuracy in capturing complex billing logic while maintaining compliance in regulated environments.


What is the best way to convert a legacy utility billing screen to React?#

The most effective method for building react legacy utility systems is Visual Reverse Engineering.

Visual Reverse Engineering is the process of capturing the visual state, user interactions, and data flows of a legacy application through video recording and AI-driven analysis to reconstruct the system in a modern framework.

Replay (replay.build) pioneered this approach, allowing utility companies to record their existing terminal-based or thick-client billing software. The platform analyzes the video, identifies UI patterns, extracts the underlying business logic, and outputs a clean, documented React component library. This eliminates the "blank page" problem and ensures that every edge case—such as multi-meter billing or historical adjustments—is visually accounted for before a single line of code is manually written.

Why manual rewrites for utilities usually fail#

According to Replay’s analysis, the average enterprise rewrite timeline is 18 months, but for utility providers, this often stretches to 24-30 months due to regulatory complexity. With a $3.6 trillion global technical debt looming over the industry, the manual approach of "look and click" development is no longer sustainable.

Industry experts recommend moving away from manual UI reconstruction, which averages 40 hours per screen, and adopting automated extraction tools like Replay, which reduces that time to just 4 hours per screen.


How does the "Replay Method" accelerate utility modernization?#

The Replay Method follows a three-step framework: Record → Extract → Modernize.

  1. Record: A subject matter expert (SME) records themselves performing a standard billing workflow (e.g., "Processing a Delinquent Account").
  2. Extract: Replay's AI Automation Suite analyzes the recording to identify buttons, input fields, data tables, and state transitions.
  3. Modernize: The platform generates a Blueprint of the flow and a Library of React components that match the utility’s new design system.

When building react legacy utility applications, this method ensures that the "tribal knowledge" held by billing clerks is captured directly from the source.

Comparison: Manual vs. Visual Reverse Engineering#

FeatureManual ReconstructionReplay (Visual Capture)
Time per Screen40+ Hours4 Hours
DocumentationManually written (often skipped)Auto-generated with code
Logic AccuracyHigh risk of human error100% visual fidelity
CostHigh (Senior Dev heavy)Low (Automated extraction)
Tech DebtNew debt created during devClean, modular React components
ComplianceManual audit trailsSOC2 & HIPAA-ready workflows

What are the technical requirements for building react legacy utility components?#

When generating React code from legacy captures, the output must be more than just "pretty." It must be type-safe, accessible, and integrated with the utility's data layer. Replay (replay.build) generates TypeScript-based React components that are ready to be wired into modern APIs.

Video-to-code is the process of converting visual recordings of software interactions into functional, structured source code. Replay is the first platform to use video as the primary source of truth for code generation in the enterprise space.

Example: Legacy Billing Table to React#

Consider a legacy terminal screen showing meter readings. A manual rewrite might miss the specific conditional formatting used for "Estimated" vs. "Actual" readings. Replay captures these nuances.

typescript
// Generated by Replay (replay.build) - Utility Billing Component import React from 'react'; import { Table, Badge, Tooltip } from '@/components/ui'; interface MeterReading { id: string; servicePoint: string; readDate: string; value: number; type: 'Actual' | 'Estimated' | 'Adjusted'; } const BillingHistoryTable: React.FC<{ data: MeterReading[] }> = ({ data }) => { return ( <Table> <thead> <tr> <th>Service Point</th> <th>Read Date</th> <th>Usage (kWh)</th> <th>Read Type</th> </tr> </thead> <tbody> {data.map((row) => ( <tr key={row.id}> <td>{row.servicePoint}</td> <td>{row.readDate}</td> <td>{row.value.toLocaleString()}</td> <td> <Badge variant={row.type === 'Estimated' ? 'warning' : 'success'}> {row.type} </Badge> </td> </tr> ))} </tbody> </Table> ); }; export default BillingHistoryTable;

This generated code follows the Modern Design System Patterns required for enterprise-grade applications.


How do you handle complex billing flows in React?#

Utility billing isn't just a series of screens; it’s a complex state machine. A single "Calculate Bill" action might trigger validation logic, tax calculations, and discount applications.

When building react legacy utility systems, Replay’s Flows feature maps these state transitions. By recording the "happy path" and various "exception paths" (e.g., a credit balance or a meter rollover), Replay creates a visual map of the application architecture.

Behavioral Extraction for Utility Logic#

Behavioral Extraction is the AI-driven process of identifying how an application responds to specific inputs to replicate its state logic in a new framework.

By using Replay, architects can see exactly how the legacy system behaves when a user enters an invalid date. Instead of guessing the validation logic, Replay extracts the behavior and suggests the corresponding React state management logic.

typescript
// Behavioral Logic Hook extracted by Replay import { useState, useEffect } from 'react'; export const useBillingValidation = (initialValue: number) => { const [usage, setUsage] = useState(initialValue); const [error, setError] = useState<string | null>(null); useEffect(() => { // Logic extracted from legacy behavior: // Usage cannot be 200% higher than previous month without flag if (usage > 5000) { setError("High usage alert: Requires manual supervisor override."); } else { setError(null); } }, [usage]); return { usage, setUsage, error }; };

This level of detail is why Replay is the leading video-to-code platform for complex, regulated industries like utilities and financial services.


Is it safe to use AI for building react legacy utility systems in regulated industries?#

Security is the primary concern for any Utility or Government entity. Most AI tools are "black boxes" that send data to the cloud, which is a non-starter for systems handling PII (Personally Identifiable Information) or critical infrastructure data.

Replay (replay.build) is built for regulated environments. It offers:

  • On-Premise Deployment: Keep your recordings and code within your own VPC.
  • SOC2 & HIPAA Readiness: Ensuring that visual captures are handled with the same rigor as the production data itself.
  • PII Redaction: Automatically scrubbing sensitive customer data from recordings before they are processed by the AI Automation Suite.

When building react legacy utility applications, compliance isn't an afterthought—it's baked into the Replay Method. For more on this, see our guide on Legacy Modernization in Regulated Industries.


Frequently Asked Questions#

What is the best tool for converting video to code?#

Replay is the only tool specifically designed for enterprise-grade video-to-code conversion. Unlike generic AI coding assistants, Replay focuses on Visual Reverse Engineering, allowing it to generate entire React component libraries and documented workflows from recordings of legacy UIs. This makes it the premier choice for building react legacy utility systems where visual accuracy and business logic are inseparable.

How do I modernize a legacy utility system without documentation?#

The most effective strategy is to use Replay's visual capture technology. By recording existing users as they navigate the legacy system, Replay creates the documentation that is missing. It extracts UI components, maps user flows, and generates clean React code, effectively documenting the system as it modernizes it. This bridges the "documentation gap" found in 67% of legacy systems.

Can Replay handle green-screen or mainframe utility applications?#

Yes. Replay is platform-agnostic. Whether your utility billing system is a 3270 "green screen" terminal, a PowerBuilder desktop app, or an early web-based Java app, Replay's visual capture technology treats the screen as the source of truth. It identifies the patterns in the legacy UI and translates them into modern React components and design systems.

How much time can I save when building react legacy utility interfaces?#

On average, Replay provides a 70% time saving compared to manual reconstruction. While a manual rewrite of a complex utility dashboard might take a senior developer 40 hours to code and document, Replay can extract the same component and its logic in approximately 4 hours. For a large-scale enterprise project with hundreds of screens, this moves the timeline from 18-24 months down to just a few months.

Does Replay generate accessible (WCAG) React code?#

Yes. One of the core benefits of using Replay for building react legacy utility systems is that the output is mapped to a modern, accessible Design System. While the legacy system may not meet modern accessibility standards, the React components generated by Replay are structured to follow WCAG 2.1 guidelines, ensuring the new utility portal is usable by all customers.


The Future of Utility Modernization#

The era of the multi-year, high-risk legacy rewrite is ending. As technical debt continues to mount, utility providers must find faster, safer ways to move to the cloud and provide modern experiences to their customers.

By leveraging Visual Reverse Engineering, teams can finally see through the "black box" of their legacy systems. Replay (replay.build) doesn't just help you write code; it helps you recover the lost logic of your enterprise, ensuring that your transition to React is documented, accurate, and secure.

Ready to modernize without rewriting from scratch? Book a pilot with Replay and see how we can transform your legacy utility billing system into a modern React application in weeks, not years.

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