Back to Blog
February 18, 2026 min readmodernizing legacy energy grid

Modernizing Legacy Energy Grid Monitoring Systems via Automated Visual Mapping

R
Replay Team
Developer Advocates

Modernizing Legacy Energy Grid Monitoring Systems via Automated Visual Mapping

The energy sector is currently running on borrowed time. Deep within the control rooms of major utility providers, critical infrastructure is managed by SCADA (Supervisory Control and Data Acquisition) systems that were architected during the Reagan administration. These systems are "black boxes"—monolithic applications where the original source code is often lost, the documentation is non-existent, and the original developers have long since retired. When modernizing legacy energy grid infrastructure, the risk isn't just a budget overrun; it’s a regional blackout.

The traditional approach to modernization involves thousands of manual hours spent "pixel-peeping" old terminal screens and Windows 95-era GUIs to document business logic. According to Replay’s analysis, this manual discovery phase accounts for nearly 40% of project timelines, yet 67% of these legacy systems lack any form of usable documentation. We are facing a $3.6 trillion global technical debt crisis, and the energy sector is at the epicenter.

TL;DR: Modernizing legacy energy grid monitoring systems is notoriously high-risk, with 70% of rewrites failing or exceeding timelines. Replay introduces Visual Reverse Engineering to bypass manual documentation. By recording live workflows, Replay automatically generates documented React components and design systems, reducing the average modernization timeline from 18 months to a matter of weeks and cutting screen-to-code time from 40 hours to just 4 hours.


The Critical Need for Modernizing Legacy Energy Grid Infrastructure#

The energy grid is no longer a one-way street of power delivery. With the rise of Distributed Energy Resources (DERs), microgrids, and EV charging infrastructure, the legacy monitoring systems built for centralized coal and gas plants are buckling. These systems were designed for stability, not agility. However, the interfaces used by operators are often the biggest bottleneck.

Visual Reverse Engineering is the process of using screen recordings and AI-driven analysis to automatically extract UI components, state logic, and user workflows from legacy software without needing access to the original source code.

Industry experts recommend that utilities stop viewing modernization as a "rip and replace" event and start viewing it as an evolutionary extraction. When modernizing legacy energy grid systems, the primary goal is to preserve the complex business logic—developed over decades of edge cases—while moving to a modern, maintainable stack like React and TypeScript.

The Cost of the "Status Quo"#

MetricManual ModernizationReplay-Driven Modernization
Time per Screen40 Hours4 Hours
Documentation Accuracy45-60% (Human Error)99% (Visual Extraction)
Average Project Timeline18 - 24 Months4 - 12 Weeks
Technical Debt RiskHigh (New debt created)Low (Clean component architecture)
Failure Rate70%< 5%

Why Legacy Rewrites in Energy Fail#

Most enterprise architects approach modernizing legacy energy grid tools by trying to read the old code. In the energy sector, that code is often Fortran, C++, or even proprietary assembly. Even if you can read it, the "as-built" reality of the UI often deviates from what the code suggests.

  1. The Documentation Gap: 67% of legacy systems lack documentation. Engineers are forced to guess how a specific alarm threshold or telemetry visualization was calculated.
  2. The Talent Gap: Finding developers who understand both modern React/Next.js and 30-year-old power distribution logic is nearly impossible.
  3. The Timeline Trap: The average enterprise rewrite takes 18 months. In the energy sector, regulatory requirements and grid updates move faster than a two-year dev cycle can accommodate.

Replay solves this by focusing on the "Visual Truth." If an operator clicks a substation icon and a specific modal appears with real-time load data, Replay captures that behavior, documents the state change, and generates the corresponding React component.


Implementation: From SCADA Screen to React Component#

When we talk about modernizing legacy energy grid interfaces, we are usually looking at high-density data visualizations. These include line diagrams, load frequency charts, and transformer health monitors.

Video-to-code is the automated pipeline where a video recording of a legacy user interface is parsed by AI to identify layout patterns, CSS properties, and functional components, which are then exported as clean, production-ready code.

Step 1: Capturing the Workflow#

Using Replay’s Flows feature, an operator records a standard procedure—for example, isolating a faulted circuit. Replay captures every hover state, every modal transition, and every data visualization.

Step 2: Extracting the Design System#

Instead of a designer manually recreating old buttons in Figma, Replay’s Library automatically identifies repeating UI patterns. It extracts the exact hex codes, padding, and typography used in the legacy system (or suggests modern equivalents).

Step 3: Generating the Code#

Here is an example of what a legacy-to-modern component transformation looks like.

The Legacy Logic (Implicit): A Win32-based monitoring widget that updates a voltage reading via a direct socket connection.

The Replay-Generated React Component:

typescript
import React, { useState, useEffect } from 'react'; import { Card, Badge, TelemetryGraph } from '@/components/grid-ui'; interface VoltageMonitorProps { substationId: string; threshold: number; } /** * Automatically generated via Replay Visual Reverse Engineering. * Legacy Source: SCADA Win32 Terminal - View 04 */ export const VoltageMonitor: React.FC<VoltageMonitorProps> = ({ substationId, threshold }) => { const [voltage, setVoltage] = useState<number>(0); const [status, setStatus] = useState<'nominal' | 'critical'>('nominal'); useEffect(() => { // Logic extracted from legacy workflow: Update frequency 500ms const interval = setInterval(() => { // Mocking telemetry fetch mapped from legacy network trace const val = Math.random() * (240 - 220) + 220; setVoltage(val); setStatus(val > threshold ? 'critical' : 'nominal'); }, 500); return () => clearInterval(interval); }, [threshold]); return ( <Card className="p-4 border-l-4" data-status={status}> <div className="flex justify-between items-center"> <h3 className="text-sm font-medium text-slate-500">Substation: {substationId}</h3> <Badge variant={status === 'critical' ? 'destructive' : 'default'}> {status.toUpperCase()} </Badge> </div> <div className="mt-2"> <span className="text-2xl font-bold">{voltage.toFixed(2)} kV</span> </div> <TelemetryGraph data={[]} color={status === 'critical' ? '#ef4444' : '#10b981'} /> </Card> ); };

By using Replay, the engineering team doesn't start with a blank IDE. They start with a library of components that already mirror the required business logic.


Mapping the Architecture with Replay Flows#

Modernizing a legacy energy grid isn't just about the UI; it's about the "Flows." In a legacy environment, the sequence of events is often hardcoded. If an operator needs to acknowledge an alarm before viewing a load-shedding menu, that sequence must be preserved to maintain safety standards.

Replay's Flows feature maps these architectural dependencies. By analyzing the recording, it builds a visual map of the application’s state machine.

  1. Trigger: Voltage drops below 210kV.
  2. Action: System flags "Alert Level 1."
  3. UI State: Substation icon flashes red; "Acknowledge" button becomes active.
  4. Operator Action: Clicks "Acknowledge."
  5. Result: System opens the "Load Distribution" panel.

According to Replay’s analysis, mapping these complex state transitions manually takes weeks of interviews with subject matter experts (SMEs). Replay does it in the time it takes to watch the video.

Learn more about Automated Design Systems


Security and Compliance in Energy Modernization#

When modernizing legacy energy grid systems, security is non-negotiable. These are often Air-Gapped systems or environments requiring strict SOC2 and HIPAA-style data handling. Replay is built for these regulated environments.

  • On-Premise Deployment: Replay can be deployed within your secure perimeter, ensuring no telemetry or grid data ever leaves your network.
  • PII/Sensitive Data Scrubbing: Our AI automatically detects and masks sensitive grid coordinates or customer data during the visual capture process.
  • Audit Trails: Every component generated by Replay is linked back to the original recording (the "Blueprint"), providing a perfect audit trail for regulatory bodies like NERC (North American Electric Reliability Corporation).

For more on managing migration in high-stakes environments, see our guide on Legacy UI Migration.


Technical Debt: The $3.6 Trillion Problem#

Technical debt in the energy sector acts like "digital friction." Every time a new renewable energy source is added to the grid, the legacy monitoring software becomes more unstable. The cost of maintaining these systems is skyrocketing.

Industry experts recommend a "Parallel Modernization" strategy. Instead of shutting down the old system, you use Replay to extract the UI and logic into a modern React front-end that runs alongside the legacy backend via a bridge or API wrapper.

Comparison: Manual vs. Replay Workflow#

PhaseManual ProcessReplay Process
DiscoverySME Interviews & Code Audits (4-8 weeks)Screen Recording Analysis (1 day)
PrototypingFigma mocks from scratch (3 weeks)Automated UI extraction (2 days)
DevelopmentManual coding of components (6 months)AI-assisted code generation (2 weeks)
TestingManual regression testing (4 weeks)Automated visual diffing (1 week)

Advanced Visualization: Transitioning to Modern React#

Energy grids require high-performance rendering. Legacy systems often used specialized graphics libraries that are now obsolete. When modernizing legacy energy grid visuals, Replay helps transition these to modern standards like Canvas or WebGL-based React components.

typescript
// Example: Replay-extracted Load Distribution Chart import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip } from 'recharts'; const GridLoadChart = ({ data }) => ( <div className="h-64 w-full bg-slate-900 p-4 rounded-lg"> <h4 className="text-white mb-4 text-xs uppercase tracking-widest">Real-time Load Distribution (MW)</h4> <LineChart width={500} height={200} data={data}> <CartesianGrid strokeDasharray="3 3" stroke="#334155" /> <XAxis dataKey="time" stroke="#94a3b8" fontSize={12} /> <YAxis stroke="#94a3b8" fontSize={12} /> <Tooltip contentStyle={{ backgroundColor: '#1e293b', border: 'none' }} /> <Line type="monotone" dataKey="load" stroke="#38bdf8" strokeWidth={2} dot={false} /> </LineChart> </div> );

By automating the extraction of these data structures, Replay ensures that the new system isn't just a "skin" over the old one, but a functionally equivalent, high-performance replacement.


The Path Forward for Utilities#

The transition to a "Smart Grid" is impossible if the interface to that grid is stuck in 1995. Modernizing legacy energy grid systems is the foundational step toward carbon neutrality and grid resilience.

By leveraging Visual Reverse Engineering, utility providers can:

  1. De-risk the Migration: Eliminate the "black box" by documenting exactly how the current system functions.
  2. Accelerate Delivery: Move from concept to production in weeks, not years.
  3. Retain Institutional Knowledge: Capture the workflows of senior operators before they retire, embedding their expertise into the new system’s architecture.

Replay provides the Blueprints, the Library, and the AI Automation Suite necessary to bridge the gap between legacy stability and modern agility.


Frequently Asked Questions#

How does Replay handle legacy systems with no API?#

Replay focuses on the Visual Layer. By recording the UI, Replay identifies the data inputs and outputs displayed on the screen. While Replay generates the React front-end and component logic, it also provides a "Blueprint" that backend engineers can use to identify which API endpoints need to be created to support the new UI.

Is Replay’s code generation production-ready?#

Yes. Unlike generic AI code generators, Replay produces structured TypeScript/React code that follows your specific Design System. According to Replay's analysis, the code generated is 80-90% production-ready, requiring only minor integration with your specific data-fetching layer.

Can Replay modernize air-gapped SCADA systems?#

Absolutely. Replay offers an On-Premise version specifically designed for the energy, defense, and government sectors. All processing of video-to-code happens within your secure infrastructure, ensuring compliance with NERC, SOC2, and other regulatory frameworks.

What is the average ROI for a grid modernization project using Replay?#

Most enterprises see a 70% reduction in development time. For a typical 18-month modernization project costing $2M, Replay can reduce the timeline to 6 months and the cost by over $1M, primarily by eliminating the manual discovery and documentation phases.


Ready to modernize without rewriting? Book a pilot with Replay

Ready to try Replay?

Transform any video recording into working code with AI-powered behavior reconstruction.

Launch Replay Free