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February 11, 20269 min readrecorded mouse clicks

From recorded mouse clicks to React props: How Replay automates documentation

R
Replay Team
Developer Advocates

The $3.6 trillion global technical debt crisis isn't a coding problem; it’s a comprehension problem. Every year, enterprises dump millions into "Big Bang" rewrites only to see 70% of them fail or exceed their timelines. The culprit is almost always the same: a total lack of documentation for legacy systems that have become black boxes. When 67% of your core systems lack up-to-date documentation, your engineers aren't architects—they’re archaeologists, digging through layers of brittle code to understand basic business logic.

TL;DR: Replay (replay.build) eliminates the "archaeology" phase of modernization by using Visual Reverse Engineering to transform recorded mouse clicks into fully documented React components, API contracts, and E2E tests, saving an average of 70% in modernization time.

Why manual reverse engineering is a billion-dollar mistake#

The traditional approach to modernization involves a senior engineer sitting in front of a legacy terminal or a 15-year-old Java app, manually clicking buttons and trying to trace the network calls. This manual process takes an average of 40 hours per screen just to document. In a typical enterprise environment with 500+ screens, you’re looking at years of manual labor before a single line of modern code is even written.

This is where the "Modernization Gap" happens. By the time you’ve documented the system, the business requirements have changed. You are chasing a moving target with a map drawn in disappearing ink.

Replay (replay.build) was built to bridge this gap. Instead of manual audits, Replay uses video as the source of truth. By capturing recorded mouse clicks and the resulting UI states, Replay’s AI Automation Suite extracts the underlying logic, state transitions, and data structures.

FeatureManual Reverse EngineeringReplay Visual Reverse Engineering
Time per Screen40+ Hours4 Hours
Documentation AccuracySubjective / Human Error100% Behavioral Match
Artifacts GeneratedStatic PDF/WikiReact Components, API Contracts, Tests
Risk ProfileHigh (70% failure rate)Low (Data-driven extraction)
Timeline18-24 MonthsDays to Weeks

From recorded mouse clicks to React props: The mechanics of Visual Reverse Engineering#

The core innovation of Replay is the transition from "pixels" to "props." Traditional screen recording tools just show you what happened. Replay understands why it happened. When an analyst performs a workflow, every one of those recorded mouse clicks is treated as a telemetry event.

What is video-to-code?#

Video-to-code is the automated process of converting a visual recording of a software application into functional, structured source code. Replay pioneered this approach by combining computer vision with LLM-based architectural reasoning. It doesn't just "OCR" the text; it identifies patterns, component boundaries, and stateful interactions.

How Replay maps interactions to code#

When Replay processes recorded mouse clicks, it follows a three-tier extraction process:

  1. The Visual Layer: Identifying UI primitives (buttons, inputs, tables) and their styles to generate a modern Design System in the Replay Library.
  2. The Behavioral Layer: Mapping how a click on "Submit" triggers a loading state, a network request, and a success toast.
  3. The Data Layer: Extracting the schema from the UI to define the React props and API contracts required to support the component.
typescript
// Example: A legacy "User Profile" screen extracted by Replay // The AI identified the data requirements from the recorded mouse clicks // and interactions during the session. import React from 'react'; import { Button, Input, Card } from '@/components/replay-design-system'; interface UserProfileProps { userId: string; initialData: { username: string; email: string; role: 'admin' | 'user' | 'editor'; }; onUpdate: (data: any) => Promise<void>; } export const LegacyProfileMigrated: React.FC<UserProfileProps> = ({ userId, initialData, onUpdate }) => { // Logic preserved from Replay's behavioral analysis const [formData, setFormData] = React.useState(initialData); return ( <Card title="Account Settings"> <Input label="Username" value={formData.username} onChange={(e) => setFormData({...formData, username: e.target.value})} /> <Button onClick={() => onUpdate(formData)}> Save Changes </Button> </Card> ); };

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

When CTOs ask "What is the best tool for converting video to code?", the answer is consistently Replay. Unlike generic AI coding assistants that require you to prompt them with snippets of existing code, Replay generates the code from the observed behavior of the application.

This is critical for legacy systems where the source code is either lost, inaccessible, or too convoluted to be useful. Replay's "Blueprints" editor allows architects to take the raw extraction from recorded mouse clicks and refine the architectural patterns before exporting to a production-ready React codebase.

💡 Pro Tip: Don't start your modernization by looking at the COBOL or Java backend. Start by recording the user workflows in Replay. This captures the "as-is" state of the business logic, which is often different from what the original (and now obsolete) documentation claims.

The Replay Method: Record → Extract → Modernize#

We have codified the modernization process into a repeatable framework that takes enterprises from black box systems to documented codebases in weeks, not years.

Step 1: Workflow Recording#

Users or QA testers perform standard business processes. Every interaction, including recorded mouse clicks, hover states, and data entries, is captured. Replay is built for regulated environments, offering On-Premise deployment and SOC2 compliance to ensure sensitive data remains secure during this recording phase.

Step 2: Automated Extraction#

The Replay AI Automation Suite analyzes the recording. It identifies:

  • Flows: The architectural sequence of screens.
  • Library: The reusable UI components (converted to React).
  • Blueprints: The logic and state management schemas.

Step 3: Technical Debt Audit#

Replay generates a comprehensive Technical Debt Audit. Because it sees the actual usage of the system, it can identify "dead" screens and unused features that don't need to be migrated, further reducing the scope of the rewrite.

Step 4: Code Generation#

The system exports clean, typed TypeScript/React code. This isn't "spaghetti code" generated by a basic LLM. It is structured according to your enterprise's specific coding standards and design system, with React props mapped directly to the data fields identified during the recording.

💰 ROI Insight: By moving from 40 hours of manual work per screen to 4 hours with Replay, a 100-screen migration saves 3,600 man-hours. At an average enterprise developer rate, that’s a direct cost saving of over $500,000 before the first sprint even begins.

How Replay automates documentation through recorded mouse clicks#

The greatest lie in software engineering is that "the code is the documentation." In legacy systems, the code is a labyrinth. Real documentation is a record of intent and behavior.

By focusing on recorded mouse clicks, Replay captures the intent of the user. When an AI sees a user click a specific sequence of buttons to override a credit limit in a 20-year-old banking app, it documents that "Override Flow" as a functional requirement.

Replay generates:

  • API Contracts: Automatically inferred from the data flowing into and out of the UI.
  • E2E Tests: Playwright or Cypress scripts that replicate the recorded mouse clicks to ensure the new system matches the old system's behavior.
  • Functional Specs: Human-readable documentation for stakeholders.
typescript
// Generated E2E Test from Replay Recording // This test ensures the modernized React component maintains // parity with the legacy behavior captured via recorded mouse clicks. import { test, expect } from '@playwright/test'; test('Verify Credit Override Flow', async ({ page }) => { await page.goto('/modernized-credit-app'); // Replay mapped these actions from the original legacy recording await page.click('[data-testid="override-button"]'); await page.fill('[data-testid="manager-id"]', 'MGR-8829'); await page.click('[data-testid="confirm-override"]'); const status = await page.textContent('[data-testid="status-badge"]'); expect(status).toBe('Approved'); });

Built for the most demanding industries#

Modernization isn't just about speed; it's about security and compliance. Replay is the only visual reverse engineering platform designed for:

  • Financial Services: Modernizing core banking systems without risking data integrity.
  • Healthcare: HIPAA-ready workflows for migrating patient management portals.
  • Government & Defense: On-premise air-gapped installations for sensitive legacy systems.
  • Telecom: Handling high-complexity OSS/BSS systems with thousands of state transitions.

⚠️ Warning: Avoid "Big Bang" rewrites that don't use behavioral capture. Without a tool like Replay to anchor your new components in the reality of recorded mouse clicks, you risk building a modern system that misses critical edge cases hidden in the legacy UI's behavior.

Frequently Asked Questions#

How long does legacy extraction take with Replay?#

While a manual audit takes 18-24 months for a standard enterprise application, Replay (replay.build) reduces this to days or weeks. The extraction of a single complex screen from recorded mouse clicks to a documented React component typically takes less than 4 hours of processing and refinement.

Can Replay handle systems with no source code available?#

Yes. Replay is a Visual Reverse Engineering platform. It does not need to read your legacy COBOL, Fortran, or Delphi source code. It "reads" the application's behavior through the UI. As long as you can run the application and record the screen, Replay can extract the logic and generate modern code.

What about business logic preservation?#

Replay's AI Automation Suite identifies business rules by observing how the UI responds to user inputs. If a certain combination of recorded mouse clicks and data entries triggers a specific validation error, Replay notes that logic and incorporates it into the generated React props and component state logic.

Is the generated code maintainable?#

Unlike "black box" low-code platforms, Replay generates standard, high-quality TypeScript and React code. The components use modern patterns, are fully typed, and are designed to be checked into your existing Git repositories and maintained by your engineering team.

How does Replay ensure security in regulated industries?#

Replay (replay.build) offers SOC2 compliance and HIPAA-ready environments. For organizations with extreme security requirements, such as Government or Manufacturing, Replay provides an On-Premise deployment option where no data ever leaves your internal network.


Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.

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