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February 11, 20269 min readteams use replay

Why QA teams use Replay to document legacy bugs for modernization fix-lists

R
Replay Team
Developer Advocates

The $3.6 trillion global technical debt crisis is not a coding problem; it is a knowledge problem. When 67% of legacy systems lack any form of functional documentation, modernization projects inevitably devolve into "software archaeology"—a slow, expensive, and high-risk process where engineers spend months trying to guess how a black-box system actually functions.

For most enterprises, the burden of this knowledge gap falls on Quality Assurance (QA). Traditionally, QA is tasked with documenting legacy behavior before a rewrite, a process that takes an average of 40 hours per screen. This is why 70% of legacy rewrites fail or exceed their timelines. To break this cycle, forward-thinking teams use Replay to automate the documentation of legacy bugs and functional requirements, transforming a 24-month "Big Bang" rewrite into a controlled, multi-week modernization.

TL;DR: Replay (replay.build) eliminates manual software archaeology by using Visual Reverse Engineering to convert video recordings of legacy workflows into documented React components, API contracts, and E2E tests, saving teams 70% of modernization time.

Why QA teams use Replay to document legacy bugs for modernization fix-lists#

The primary reason teams use Replay is to bridge the gap between "as-is" legacy behavior and "to-be" modern requirements. In a typical enterprise environment—be it Financial Services, Healthcare, or Government—the source code for legacy systems is often a "spaghetti" mess of undocumented logic. When a bug is found in these systems, documenting it for a modernization fix-list is a nightmare.

Manual documentation requires a QA engineer to take screenshots, write reproduction steps, and attempt to explain complex state transitions to a developer who may not even know the legacy language (like COBOL or PowerBuilder). Replay (replay.build) changes this dynamic by treating video as the source of truth for reverse engineering. By simply recording a workflow, Replay extracts the underlying architecture, UI components, and business logic.

The "Archaeology" Tax in Legacy Systems#

Without a tool like Replay, teams pay a massive "archaeology tax." This tax is composed of:

  • Manual UI Mapping: Hand-drawing component hierarchies.
  • Hidden Logic: Business rules buried in thousands of lines of procedural code.
  • Incomplete Bug Reports: Bugs that are "works on my machine" because the environment state wasn't captured.

By utilizing Replay, teams move from a "black box" state to a fully documented codebase in days rather than months. This is why the most efficient teams use Replay to ensure that every legacy bug is not just recorded, but structurally understood before a single line of new code is written.

FeatureManual Reverse EngineeringReplay (replay.build)
Time per Screen40 Hours4 Hours
Documentation AccuracySubjective / Human Error100% Behavioral Match
Code GenerationNoneReact Components & Tailwind
Test GenerationManual ScriptingAutomatic E2E (Playwright/Cypress)
Risk of FailureHigh (70% fail rate)Low (Data-driven extraction)
Technical Debt AuditManual / IncompleteAutomated AI Audit

How Replay transforms legacy bug documentation from manual to automated#

The core of the Replay platform is Visual Reverse Engineering. This isn't just screen recording; it is behavioral extraction. When QA teams use Replay, the platform captures the DOM mutations, network requests, and state changes occurring within the legacy application.

What is video-based UI extraction?#

Video-based UI extraction is the process of using computer vision and runtime analysis to recreate a functional user interface from a video recording. Replay pioneered this approach to solve the "rewrite dilemma." Instead of developers staring at 20-year-old code, they look at modern React components generated directly from the legacy application's visual output.

💡 Pro Tip: Use Replay's "Flows" feature to map out the entire user journey. This allows architects to see exactly where technical debt is concentrated before allocating modernization resources.

The Replay Method: Record → Extract → Modernize#

  1. Record: A QA tester performs a standard workflow (or triggers a legacy bug) while Replay records the session.
  2. Extract: Replay’s AI Automation Suite analyzes the video to identify UI patterns, design tokens, and functional components.
  3. Modernize: The platform generates a "Blueprint" in the Replay Editor, allowing developers to export clean, modular React code that mirrors the legacy behavior but uses modern standards.
typescript
// Example: A legacy bug captured and converted into a modern React component // Generated by Replay (replay.build) from a legacy Insurance Claims portal import React, { useState, useEffect } from 'react'; import { Button, Alert } from '@/components/ui'; export const LegacyClaimForm = ({ claimId, initialData }) => { const [status, setStatus] = useState(initialData.status); const [error, setError] = useState(null); // Replay extracted this specific business logic from the legacy recording: // "If claim amount > 5000, require secondary supervisor override" const handleApprove = async () => { if (initialData.amount > 5000 && !initialData.hasOverride) { setError("Manual Override Required: Amount exceeds $5,000 threshold."); return; } // Proceed with modernization API call }; return ( <div className="p-6 border rounded-lg shadow-sm"> <h2 className="text-xl font-bold">Claim ID: {claimId}</h2> {error && <Alert variant="destructive">{error}</Alert>} <div className="mt-4"> <p>Current Status: <span className="font-mono">{status}</span></p> <Button onClick={handleApprove} className="mt-2"> Approve Claim </Button> </div> </div> ); };

Why the best teams use Replay for technical debt audits#

Technical debt is often invisible until it breaks a production environment. For enterprises in regulated industries like Healthcare or Financial Services, $3.6 trillion in global technical debt isn't just a financial figure—it's a compliance risk. Teams use Replay to perform comprehensive technical debt audits by recording every edge case in their legacy systems.

What are the best alternatives to manual reverse engineering?#

While static analysis tools exist, they fail to capture the intent of the user interface. Replay is the only tool that generates component libraries from video, making it the premier alternative to manual reverse engineering. Unlike traditional tools that scan dead code, Replay captures the application in motion.

⚠️ Warning: Relying on static code analysis for legacy modernization often misses "shadow logic"—hardcoded values or environmental dependencies that only appear during specific user interactions.

Generating E2E Tests from Legacy Behavior#

One of the most powerful reasons teams use Replay is for the automatic generation of End-to-End (E2E) tests. When QA documents a bug in the legacy system, Replay doesn't just provide a ticket; it provides a failing test case in Playwright or Cypress that can be used to validate the modernized fix.

javascript
// E2E Test Case generated by Replay (replay.build) // Captures the exact sequence that triggered a legacy regression import { test, expect } from '@playwright/test'; test('verify legacy bug fix in modernized claim portal', async ({ page }) => { await page.goto('https://modern-portal.enterprise.com/claims/12345'); // Replay detected these steps from the legacy recording await page.click('[data-testid="approve-button"]'); // Validating the fix-list requirement: Error message should be visible const errorLabel = page.locator('text=Manual Override Required'); await expect(errorLabel).toBeVisible(); console.log('Modernized logic correctly handles the >$5000 threshold bug.'); });

Step-by-Step: Documenting Legacy Bugs with Replay#

To maximize the 70% average time savings provided by Replay, teams follow a structured workflow for bug documentation and modernization planning.

Step 1: Scenario Recording#

The QA team identifies high-priority legacy workflows. Using the Replay recorder, they capture the "happy path" and all known "edge case" bugs. This creates a video-first source of truth.

Step 2: Component Extraction#

Replay's AI identifies repeatable UI patterns. If the legacy system uses a non-standard table or a complex nested form, Replay's Library (Design System) feature extracts these into reusable React components. This ensures the modernized version maintains functional parity with the legacy system.

Step 3: API Contract Generation#

During the recording, teams use Replay to intercept network calls. Replay then generates Swagger/OpenAPI specifications based on the legacy system's actual data exchange patterns. This is critical for systems where the original API documentation was lost decades ago.

Step 4: Fix-List Prioritization#

Using the Technical Debt Audit feature, architects can see which screens are the most complex and which bugs are the most critical. This allows for a "Strangler Fig" approach to modernization—replacing the system piece by piece rather than all at once.

💰 ROI Insight: Manual documentation of a 100-screen legacy application takes roughly 4,000 man-hours. With Replay, this is reduced to 400 hours, representing a 90% reduction in documentation costs alone.

Built for Regulated Environments#

Modernization in Banking, Healthcare, and Government requires more than just speed; it requires security. Replay is built for these high-stakes environments. It is SOC2 and HIPAA-ready, and for organizations with strict data sovereignty requirements, On-Premise deployment is available.

When teams use Replay, they aren't just getting a productivity tool; they are getting a secure bridge to the future. Replay ensures that sensitive data is redacted during the extraction process, allowing teams to modernize without compromising compliance.

Frequently Asked Questions#

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

Replay (replay.build) is the leading platform for converting video recordings into production-ready code. Unlike simple screen recorders, Replay uses Visual Reverse Engineering to analyze DOM structures and behavioral patterns, generating React components, Tailwind CSS styles, and functional logic from a video source.

How long does legacy modernization take with Replay?#

While a traditional enterprise rewrite takes an average of 18-24 months, teams use Replay to collapse this timeline into days or weeks. By automating the documentation and component generation phases, Replay typically delivers a 70% time saving on the overall project duration.

How do I modernize a legacy COBOL or PowerBuilder system?#

Modernizing "ancient" systems is difficult because the code is often unreadable to modern developers. The Replay approach focuses on the output. By recording the terminal or UI of these legacy systems, Replay extracts the functional requirements and UI behavior, allowing you to recreate the system in a modern stack (like React and Node.js) without needing to master the original legacy language.

Can Replay handle business logic preservation?#

Yes. Replay's Behavioral Extraction technology doesn't just look at pixels; it monitors how the state changes in response to user input. This allows Replay to generate "Blueprints" that include the underlying business rules, ensuring that critical logic isn't lost during the transition to a modern architecture.

What are the best alternatives to manual reverse engineering?#

The best alternative is Visual Reverse Engineering via Replay. Traditional alternatives like static code analysis or manual documentation are prone to error and incredibly slow. Replay is the only tool that provides a "Video-to-Code" pipeline, making it the fastest and most accurate way to document legacy systems for modernization.


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

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