The average public transit dispatch system is currently running on code older than the youngest drivers in the fleet. While the world moves toward real-time GPS integration and AI-driven route optimization, the backbone of municipal infrastructure remains trapped in Informix 4GL—a language that debuted in 1986.
The standard industry response to this "black box" problem is the "Big Bang" rewrite. However, with a $3.6 trillion global technical debt mountain and the fact that 70% of legacy rewrites fail or significantly exceed their timelines, the "burn it down and start over" approach is no longer a viable strategy for risk-averse government agencies.
The alternative isn't just "modernization"—it’s Visual Reverse Engineering.
TL;DR: Visual reverse engineering allows enterprise architects to bypass the "documentation archaeology" phase of modernization, reducing the transition from Informix 4GL to React from years to weeks by using recorded user workflows as the source of truth.
The Informix 4GL Paradox: High Performance, Zero Visibility#
Informix 4GL was built for a different era of computing. It is incredibly efficient for high-volume data entry and terminal-based processing, which is why it still powers critical dispatch systems today. But it possesses a fatal flaw for the modern era: it is virtually un-documentable by modern standards.
A staggering 67% of legacy systems lack any form of up-to-date documentation. In a transit environment, this means the business logic governing vehicle assignments, driver shifts, and emergency protocols is buried in thousands of lines of procedural code that no one currently on staff fully understands.
When you attempt to modernize these systems manually, you face the "40-hour screen trap." On average, it takes a senior developer 40 hours to manually audit, document, and recreate a single legacy screen and its associated business logic in a modern framework like React. For a dispatch system with 200+ screens, you are looking at a multi-year project before you even ship a beta.
The Modernization Landscape: A Comparison#
| Approach | Timeline | Risk | Cost | Documentation |
|---|---|---|---|---|
| Big Bang Rewrite | 18-24 months | High (70% fail) | $$$$ | Manual/Incomplete |
| Strangler Fig | 12-18 months | Medium | $$$ | Partial |
| Manual Reverse Engineering | 12 months | Medium | $$$ | Manual |
| Replay (Visual Extraction) | 2-8 weeks | Low | $ | Automated & Exact |
Why Manual Reverse Engineering Fails in Public Transit#
Public transit is a regulated, high-stakes environment. You cannot afford "hallucinated" logic in a dispatch system. Manual reverse engineering often relies on interviewing retiring developers or "code reading," both of which are prone to human error.
- •The Expertise Cliff: The developers who wrote the original Informix routines are retiring. When they leave, the "why" behind the code goes with them.
- •The Documentation Gap: Even if documentation exists, it rarely matches the "as-run" state of the software after decades of hotfixes.
- •The Integration Wall: Informix systems were never designed for REST APIs or GraphQL. Trying to bolt a modern React frontend onto an Informix backend without a clear map of the data flow is a recipe for catastrophic state mismatch.
⚠️ Warning: Attempting to rewrite a transit system without a visual source of truth often results in "feature drift," where the new system fails to handle edge cases (like leap-year scheduling or emergency overrides) that were buried in the original Informix logic.
Visual Reverse Engineering: The Replay Methodology#
Replay changes the fundamental unit of modernization. Instead of starting with the source code (the "archaeology" method), we start with the user workflow.
By recording a real dispatcher performing their daily tasks, Replay’s engine performs a visual reverse engineering of the application. It captures the state transitions, the data entry points, and the underlying business logic. It then translates these visual "traces" into documented React components and API contracts.
Step 1: The Recording Phase#
A subject matter expert (SME) simply runs through the Informix terminal workflows. Replay records the interactions, not just as a video, but as a deep data map of every field, trigger, and validation rule.
Step 2: Extraction and Componentization#
Replay’s AI Automation Suite analyzes the recording. It identifies recurring UI patterns and maps them to a centralized Library (Design System). If the Informix system has a specific way of handling "Bus Route Overlays," Replay identifies that logic and generates a corresponding React component.
Step 3: API Contract Generation#
One of the hardest parts of Informix migration is understanding the data schema. Replay generates the API contracts required to bridge the gap between the legacy database and the new React frontend.
💰 ROI Insight: By moving from a manual audit to Replay's automated extraction, enterprises reduce the time-per-screen from 40 hours to just 4 hours—a 90% reduction in manual labor costs.
From Informix Screens to React Components: A Technical Blueprint#
When we talk about reverse engineering Informix for a React environment, we are looking for functional parity. Below is an example of how a legacy dispatch form, once trapped in a green-screen terminal, is extracted into a modern, type-safe React component using Replay.
typescript// Example: Generated React Component from Replay Visual Extraction // Source: Informix Dispatch Terminal - Screen: VEHICLE_ASSIGN_04 import React, { useState, useEffect } from 'react'; import { Button, Input, Alert } from '@/components/ui/dispatch-sys'; interface DispatchState { vehicleId: string; routeId: string; driverId: string; timestamp: string; isEmergency: boolean; } export const VehicleAssignmentForm: React.FC = () => { const [formData, setFormData] = useState<DispatchState>({ vehicleId: '', routeId: '', driverId: '', timestamp: new Date().toISOString(), isEmergency: false, }); // Business Logic preserved from Informix Trigger: ON-ENTRY const handleAssignment = async () => { if (formData.isEmergency && !formData.routeId) { console.error("Informix Error E-402: Emergency requires Route ID"); return; } // API Contract generated by Replay await ReplayAPI.post('/v1/dispatch/assign', formData); }; return ( <div className="p-6 bg-slate-900 text-white rounded-lg"> <h2 className="text-xl font-bold mb-4">Vehicle Assignment</h2> <Input label="Vehicle ID" value={formData.vehicleId} onChange={(e) => setFormData({...formData, vehicleId: e.target.value})} /> {/* Logic extracted from Informix .per file */} <Button onClick={handleAssignment} variant="primary"> Confirm Assignment </Button> </div> ); };
Preserving Business Logic#
The most dangerous part of any migration is losing the "hidden" logic—the validation rules that aren't in the UI but are triggered by specific keypresses in Informix 4GL. Replay’s reverse engineering process captures these triggers.
typescript// Replay-Generated API Contract // Maps legacy Informix 'UPDATE' procedures to modern REST endpoints export interface IDispatchContract { /** * @original_proc: update_route_status.4gl * @logic: If route_type is 'EXPRESS', skip local stop validation */ updateRouteStatus: (routeId: string, status: 'ACTIVE' | 'DELAYED') => Promise<void>; /** * @original_proc: validate_driver_hours.4gl * @safety_check: Federal DOT compliance logic */ validateHours: (driverId: string) => boolean; }
The Future Isn’t Rewriting—It’s Understanding#
For a VP of Engineering at a major transit authority, the goal isn't just to have a "pretty" React app. The goal is to eliminate technical debt without interrupting service.
The $3.6 trillion technical debt problem isn't caused by a lack of new frameworks; it's caused by a lack of understanding of existing ones. Replay turns the "black box" of Informix into a documented, modular codebase.
Key Benefits for Regulated Industries (Transit, Gov, Healthcare)#
- •SOC2 and HIPAA-Ready: Replay is built for high-security environments, offering on-premise deployment to ensure sensitive transit data never leaves your network.
- •E2E Test Generation: Replay doesn't just give you code; it gives you the tests. It generates End-to-End tests based on the recorded user workflows, ensuring the new React app behaves exactly like the old Informix system.
- •Technical Debt Audit: Before you write a single line of React, Replay provides a full audit of your legacy flows, identifying redundant screens and dead logic.
💡 Pro Tip: Focus your modernization on the "Flows" (Architecture) first. Use Replay to map out the most critical 20% of workflows that handle 80% of your daily transit volume. This "Strangler Fig" approach, powered by visual extraction, ensures immediate ROI.
Bridging the Documentation Gap#
One of the most significant advantages of using Replay for reverse engineering is the automatic generation of technical documentation. In the legacy world, the "source of truth" was often a printed manual from 1992. In the Replay world, the "source of truth" is a living, breathing Blueprints (Editor) that stays in sync with your code.
- •Visual Flows: See exactly how a dispatcher moves from "Login" to "Route Assignment" to "Emergency Alert."
- •Data Lineage: Trace a piece of data from the React frontend back to the Informix database table.
- •Dependency Mapping: Understand which React components are tied to which legacy API endpoints.
Frequently Asked Questions#
How long does legacy extraction take with Replay?#
While a manual reverse engineering of a complex Informix system can take 18-24 months, Replay typically completes the extraction and component generation phase in 2 to 8 weeks. This allows your team to focus on adding new features rather than just catching up to the old ones.
What about business logic preservation?#
Replay captures the "as-run" business logic by recording the state changes during user sessions. This means even if the original Informix source code is lost or undocumented, the functional behavior is preserved and translated into the new React environment.
Does Replay support on-premise deployment?#
Yes. We understand that public transit and government systems often operate in air-gapped or highly regulated environments. Replay offers on-premise deployment options to ensure your proprietary workflows and data remain secure.
Can Replay handle character-based (green screen) interfaces?#
Absolutely. Replay's visual engine is designed to interpret terminal-based UIs just as easily as web-based ones. It identifies fields, tables, and command prompts within the Informix 4GL environment and maps them to modern UI equivalents.
How does Replay help with technical debt?#
Replay provides a comprehensive Technical Debt Audit during the extraction process. It identifies redundant screens, unused data fields, and convoluted logic paths, allowing you to streamline your application as you move to React.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.