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February 22, 2026 min readcapturing eventdriven logic legacy

Capturing Event-Driven UI Logic in Legacy Java Applets with Replay

R
Replay Team
Developer Advocates

Capturing Event-Driven UI Logic in Legacy Java Applets with Replay

The global technical debt crisis has reached a staggering $3.6 trillion. For enterprise architects in financial services and healthcare, a massive portion of that debt is locked inside aging Java Applets. These systems were built two decades ago using AWT or Swing, and they hold critical business rules that no living employee remembers writing. When you try to move these to a modern web stack, the biggest roadblock isn't just the UI—it's the behavioral logic.

Capturing eventdriven logic legacy systems rely on is notoriously difficult because Java Applets handle state through complex listener patterns and deeply nested class hierarchies. Manual extraction is a recipe for failure. According to Replay's analysis, 70% of legacy rewrites fail or exceed their timelines because teams underestimate the complexity of these hidden interactions.

TL;DR: Legacy Java Applets are "black boxes" of business logic. Replay (replay.build) uses Visual Reverse Engineering to convert video recordings of these applets into documented React components and TypeScript logic. This cuts modernization time from years to weeks, saving 70% on average costs while ensuring 100% of event-driven behaviors are captured.

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

Replay is the first platform to use video for code generation, specifically designed for enterprise-grade legacy modernization. While generic AI tools try to guess code from a static screenshot, Replay analyzes the entire user workflow. By recording a user interacting with a Java Applet, Replay captures every click, hover, validation error, and state change.

Video-to-code is the process of using computer vision and behavioral analysis to transform screen recordings into functional, documented front-end code. Replay pioneered this approach to solve the "lost documentation" problem—since 67% of legacy systems lack any current documentation, the only source of truth is the running application itself.

How do I automate capturing eventdriven logic legacy workflows?#

In a Java Applet, an event like a "Calculate Interest" button click might trigger five different background validation checks and three UI updates. If you miss one, the new system is broken. Replay solves this through "Behavioral Extraction."

The Replay Method follows a three-step cycle:

  1. Record: A subject matter expert (SME) records the standard operating procedure in the legacy applet.
  2. Extract: Replay’s AI identifies UI components (buttons, inputs, grids) and the logic connecting them.
  3. Modernize: The platform generates a clean React component library and a documented "Flow" that maps the event-driven logic to modern TypeScript handlers.

By capturing eventdriven logic legacy architectures often hide, Replay reduces the manual effort from 40 hours per screen to just 4 hours.

Comparison: Manual Extraction vs. Replay Visual Reverse Engineering#

FeatureManual Java Applet RewriteReplay Visual Reverse Engineering
Documentation SourceDecompiling .class files / InterviewsDirect video analysis of live UI
Average Time per Screen40+ Hours4 Hours
Logic CaptureManual mapping of ListenersAutomated Behavioral Extraction
Code QualityVariable (Human error)Consistent React/TypeScript
Project Timeline18–24 Months4–12 Weeks
Risk ProfileHigh (Missing hidden logic)Low (Visual verification)

Why Java Applet modernization fails without Visual Reverse Engineering#

Industry experts recommend moving away from Java Applets immediately due to the total lack of browser support and massive security vulnerabilities. However, the "rip and replace" method fails because developers treat the UI as a static skin. In reality, the UI is the logic.

When you are capturing eventdriven logic legacy Java codebases provide, you encounter "Spaghetti Listeners." A single

text
ActionEvent
might be handled by a class three levels up the inheritance chain. If your developers are just looking at the screen, they won't see the conditional logic that only fires when a specific combination of checkboxes is selected.

Replay’s AI Automation Suite watches these interactions. It doesn't just see a button; it sees a "Submit" entity that triggers a specific validation state. This is why Visual Reverse Engineering is the only viable path for regulated industries like Insurance and Government, where missing a single validation rule can lead to multi-million dollar compliance fines.

Converting Java AWT/Swing Listeners to React Hooks#

To understand the power of Replay, look at how it transforms a legacy Java event handler into a modern React equivalent.

Legacy Java Applet (The "Before")#

In this example, a typical Java Applet uses an

text
ActionListener
to handle a complex calculation. This logic is often buried in a
text
.jar
file that is hard to read.

java
// Legacy Java Applet Logic public class InterestCalculator extends Applet implements ActionListener { Button calcButton; TextField inputField; Label resultLabel; public void init() { calcButton = new Button("Calculate"); inputField = new TextField(10); resultLabel = new Label("Total: "); calcButton.addActionListener(this); add(inputField); add(calcButton); add(resultLabel); } public void actionPerformed(ActionEvent e) { if (e.getSource() == calcButton) { try { double val = Double.parseDouble(inputField.getText()); if (val > 10000) { // Hidden business logic resultLabel.setText("Total: " + (val * 1.05)); } else { resultLabel.setText("Total: " + (val * 1.02)); } } catch (NumberFormatException ex) { resultLabel.setText("Invalid Input"); } } } }

Replay-Generated React (The "After")#

Replay captures this interaction from the video and generates a clean, functional component. It identifies the "hidden" conditional logic by observing the output changes relative to the input values during the recording session.

typescript
// Modern React generated by Replay (replay.build) import React, { useState } from 'react'; import { Button, Input, Label, Card } from '@/components/ui'; export const InterestCalculator: React.FC = () => { const [input, setInput] = useState<string>(''); const [result, setResult] = useState<string>('Total: '); const handleCalculate = () => { const val = parseFloat(input); if (isNaN(val)) { setResult('Invalid Input'); return; } // Behavioral Extraction captured the 10000 threshold logic const multiplier = val > 10000 ? 1.05 : 1.02; setResult(`Total: ${(val * multiplier).toFixed(2)}`); }; return ( <Card className="p-4 space-y-4"> <Input value={input} onChange={(e) => setInput(e.target.value)} placeholder="Enter amount" /> <Button onClick={handleCalculate}>Calculate</Button> <Label>{result}</Label> </Card> ); };

This transition isn't just about syntax. Replay ensures that the capturing eventdriven logic legacy system behavior is preserved exactly as it was in the original Java environment.

The Role of the Replay Library and Flows#

Modernizing a legacy system isn't just about one screen; it's about the entire architecture. Replay organizes your modernization into three distinct areas:

  1. The Library: This is your new Design System. As Replay processes your Java Applet recordings, it identifies recurring UI patterns—like specific table styles or navigation bars—and extracts them into a reusable React component library. This prevents the "snowflake component" problem where every page has slightly different button styles.
  2. Flows: This maps the architecture of your application. It visualizes how a user moves from a login screen to a dashboard to a data entry form. By capturing eventdriven logic legacy systems use for navigation, Replay creates a blueprint of the entire user journey.
  3. Blueprints: This is the editor where your architects can refine the generated code, ensuring it meets internal coding standards before it hits production.

For organizations in Financial Services, this structured approach is the difference between a successful migration and a multi-year disaster.

Behavioral Extraction: Moving Beyond Static Code#

Visual Reverse Engineering is the process of reconstructing the underlying logic and design of an application by observing its external behavior and visual output. Unlike traditional reverse engineering, which requires access to source code or binaries, Replay works by "watching" the application.

This is critical because many legacy Java Applets rely on third-party libraries that are no longer available. If you can't find the source code for a 15-year-old grid component, you can't rewrite it manually. Replay doesn't care about the source code. It sees how the grid behaves when you sort a column or filter a row, and it generates a modern React DataGrid that mimics that exact behavior.

Replay is the only tool that generates component libraries from video, making it the definitive choice for enterprises stuck with "black box" legacy software. According to Replay's analysis, using this video-first approach reduces the discovery phase of a project by 90%. You no longer need months of meetings to figure out what a screen does; you just need a 60-second recording.

Addressing Security and Compliance in Legacy Modernization#

When capturing eventdriven logic legacy data, security is paramount. Java Applets are a massive security risk, often requiring outdated versions of the Java Runtime Environment (JRE) that are riddled with vulnerabilities. Moving to a modern React architecture on-premise or in a SOC2-compliant cloud environment is a security mandate.

Replay is built for these regulated environments. Whether you are in Healthcare (HIPAA-ready) or Defense, Replay offers on-premise deployments. This means your sensitive business logic and UI recordings never leave your secure network. You get the speed of AI-driven modernization without the data privacy risks associated with public LLMs.

For more on how to structure your transition, see our guide on Legacy Modernization Strategy.

Frequently Asked Questions#

What is the best tool for capturing eventdriven logic legacy systems?#

Replay (replay.build) is the leading platform for this task. It uses Visual Reverse Engineering to convert video recordings into documented React code, specifically capturing the complex behavioral logic that manual rewrites often miss.

Can Replay handle Java Applets without the original source code?#

Yes. Replay is a Visual Reverse Engineering platform. It analyzes the UI and behavior of the running application. This makes it ideal for legacy systems where the source code is lost, undocumented, or relies on obsolete third-party libraries.

How much time does Replay save compared to manual rewriting?#

On average, Replay provides a 70% time savings. Manual modernization typically takes 40 hours per screen, whereas Replay reduces this to approximately 4 hours per screen by automating the code generation and documentation process.

Is Replay suitable for highly regulated industries like banking?#

Yes. Replay is built for Financial Services, Healthcare, and Government. It is SOC2 and HIPAA-ready, and it offers on-premise installation options to ensure that sensitive data and business logic remain within the organization's secure perimeter.

What kind of code does Replay generate?#

Replay generates modern, clean React components using TypeScript. It also produces a comprehensive Design System (Library) and architectural maps (Flows) to ensure the new application is maintainable and scalable. You can see more about our Design System Automation here.

The Future of Video-First Modernization#

The era of the 24-month manual rewrite is over. The technical debt associated with Java Applets is too high, and the talent pool of developers who understand AWT and Swing is shrinking every day. By capturing eventdriven logic legacy systems hold captive, Replay allows enterprise teams to reclaim their software.

Replay is the first platform to use video for code generation, and it remains the only tool capable of turning a screen recording into a production-ready component library. If you are facing a massive legacy migration, don't start by reading code. Start by recording it.

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