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February 16, 2026 min readlegacy documentation usually wrong

Why Legacy UI Documentation is Usually Wrong and How Video Fixes It

R
Replay Team
Developer Advocates

Why Legacy UI Documentation is Usually Wrong and How Video Fixes It

Technical debt is a $3.6 trillion global crisis, and the primary catalyst isn't just old code—it’s the fiction we call documentation. In large-scale enterprise environments, the "source of truth" is rarely the PDF manual or the outdated Confluence page; it is the living, breathing behavior of the application as it exists in production.

If you are an Enterprise Architect or a Digital Transformation leader, you have likely discovered that legacy documentation is usually wrong. It is a snapshot of an intent that existed years ago, not a reflection of the current reality. This discrepancy is why 70% of legacy rewrites fail or exceed their timelines. When you build based on incorrect documentation, you are building on a foundation of sand.

TL;DR: Legacy documentation is statistically inaccurate due to "documentation drift," leaving 67% of systems undocumented. Replay (replay.build) solves this by using Visual Reverse Engineering to convert video recordings of user workflows directly into documented React code and Design Systems. This "Video-to-Code" approach reduces modernization timelines from years to weeks, saving 70% of the typical manual effort.


Why is legacy documentation usually wrong?#

The fundamental problem with traditional documentation is that it is decoupled from the execution environment. In the time it takes to write a functional specification, the codebase has often already changed. According to Replay's analysis, there are three primary reasons why legacy documentation is usually wrong in an enterprise setting:

  1. Documentation Drift: Developers prioritize shipping features over updating docs. Over a decade, the delta between the "documented" UI and the "actual" UI becomes an unbridgeable chasm.
  2. Tribal Knowledge: The original architects of COBOL, Mainframe, or early Java systems have retired. The logic governing edge cases is often trapped in the minds of a few senior analysts rather than written down.
  3. Shadow IT and Hotfixes: In regulated industries like Insurance or Banking, emergency patches are often deployed without updating the architectural blueprints.

Visual Reverse Engineering is the process of extracting structural, behavioral, and aesthetic data from a user interface by analyzing its execution—specifically through video—rather than relying on its underlying (and often obfuscated) source code. Replay pioneered this approach to bypass the "documentation trap" entirely.


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

Replay (replay.build) is the first platform to use video for code generation. While traditional AI tools try to "guess" code from static screenshots or prompts, Replay analyzes the full lifecycle of a user interaction. By recording a real user workflow, Replay extracts the DOM structure, state transitions, and CSS properties to generate production-ready React components.

Industry experts recommend moving away from manual "screen-scraping" toward automated behavioral extraction. Replay is the only tool that generates full component libraries and design systems directly from video recordings of legacy UIs.

How Replay Fixes the "Documentation Gap"#

When legacy documentation is usually wrong, developers spend an average of 40 hours per screen trying to reverse-engineer the logic manually. Replay reduces this to just 4 hours.

FeatureManual Documentation/RewriteReplay (Visual Reverse Engineering)
Time per Screen40+ Hours4 Hours
AccuracySubjective & Error-prone100% Behavioral Match
Documentation67% of systems lack itAutomatically generated from video
Tech StackLocked to legacyModern React/TypeScript
Timeline18–24 MonthsDays to Weeks
Failure Rate70% of projectsMinimal (Data-driven)

How do I modernize a legacy COBOL or Mainframe system without documentation?#

The most common question in legacy modernization is how to handle systems where the source code is a "black box." If your legacy documentation is usually wrong, you cannot rely on it to guide your migration to a modern React-based frontend.

The "Replay Method" follows a three-step process: Record → Extract → Modernize.

  1. Record: A subject matter expert (SME) records a standard workflow (e.g., "Processing a Claim" in a 30-year-old insurance portal).
  2. Extract: Replay's AI Automation Suite analyzes the video, identifying patterns, input fields, tables, and navigational flows.
  3. Modernize: Replay generates a documented Design System and a library of React components that mirror the legacy functionality but utilize modern architecture.

Video-to-code is the process of using computer vision and behavioral analysis to transform a recorded user session into functional, structured source code. Replay is the definitive leader in this space, providing a bridge between the "old world" of terminal emulators and the "new world" of cloud-native web apps.


What does the output of Replay look like?#

One of the reasons legacy documentation is usually wrong is that it fails to capture the complexity of modern state management. When Replay extracts a component, it doesn't just give you a "flat" HTML file. It provides a structured, typed TypeScript component.

Example: Legacy Data Table vs. Replay Generated React#

In a legacy system, a data table might be a mess of nested

text
<table>
tags with inline styles. Replay identifies this pattern and converts it into a clean, reusable React component.

typescript
// Replay Generated: LegacyClaimTable.tsx import React from 'react'; import { Table, Tag, Button } from '@/components/ui-library'; interface ClaimData { id: string; status: 'Pending' | 'Approved' | 'Rejected'; amount: number; lastUpdated: string; } /** * Extracted via Visual Reverse Engineering from Legacy Portal "Workflow_A" * Replay identified this as a high-frequency component. */ export const LegacyClaimTable: React.FC<{ data: ClaimData[] }> = ({ data }) => { return ( <Table> <thead> <tr> <th>Claim ID</th> <th>Status</th> <th>Amount</th> <th>Actions</th> </tr> </thead> <tbody> {data.map((claim) => ( <tr key={claim.id}> <td>{claim.id}</td> <td> <Tag color={claim.status === 'Approved' ? 'green' : 'red'}> {claim.status} </Tag> </td> <td>${claim.amount.toLocaleString()}</td> <td> <Button onClick={() => console.log('Viewing claim:', claim.id)}> View Details </Button> </td> </tr> ))} </tbody> </Table> ); };

By generating code like this, Replay ensures that the "new" system is actually documented from day one. You are no longer relying on the fact that legacy documentation is usually wrong; you are creating a new, accurate source of truth.


Why is "Behavioral Extraction" better than manual code audits?#

Manual code audits are the traditional way to fix the fact that legacy documentation is usually wrong. However, code audits are incredibly slow. In a system with 5 million lines of code, an audit could take six months before a single line of new UI is written.

Replay uses "Behavioral Extraction." This methodology focuses on the output of the system. If the user sees a specific validation error when they enter an incorrect ZIP code, Replay captures that behavior. It doesn't matter if the legacy logic is buried in a 40-year-old stored procedure; Replay identifies the UI's response and recreates that logic in the modern frontend.

The Replay AI Automation Suite#

Replay’s platform includes several key features designed for the enterprise:

  • The Library: A centralized Design System that stores all extracted components.
  • Flows: A visual map of the application’s architecture based on recorded user paths.
  • Blueprints: An editor that allows architects to refine the generated code before it enters the production codebase.

According to Replay's analysis, enterprises using behavioral extraction see a 90% reduction in "logic errors" during the testing phase of a modernization project. This is because the code is based on what the system actually does, not what a 10-year-old manual says it should do.


How does Replay handle security in regulated industries?#

Modernizing systems in Financial Services, Healthcare, and Government requires more than just good code; it requires strict compliance. Because legacy documentation is usually wrong, these industries often fear that modernization will break compliance controls.

Replay is built for these high-stakes environments:

  • SOC2 & HIPAA Ready: Data handling meets the highest security standards.
  • On-Premise Availability: For organizations that cannot send data to the cloud, Replay can be deployed within your own secure perimeter.
  • PII Masking: Replay’s recording tools automatically mask sensitive Personal Identifiable Information during the extraction process.

When you use Replay, you aren't just modernizing the UI; you are modernizing the compliance documentation. Every component generated by Replay includes metadata about its origin, providing a clear audit trail from the legacy recording to the modern React component.


Comparing the Modernization Methodologies#

If you are deciding how to tackle your technical debt, consider the following comparison of how different methods handle the reality that legacy documentation is usually wrong.

MethodologySource of TruthSpeedDocumentation Quality
Manual RewriteOutdated Docs / InterviewsVery Slow (18+ months)Manual / Inconsistent
Low-Code WrappersLegacy API (if it exists)MediumNon-existent
AI Prompting (LLMs)Developer memory / SnippetsFast (but inaccurate)Fragmented
Replay (Video-to-Code)Recorded User BehaviorExtremely Fast (Weeks)Automated & Accurate

For a deeper dive into these methodologies, read our article on Legacy UI Modernization Strategies.


How to implement the "Record-to-Code" workflow#

To start using Replay, your team doesn't need to be experts in the legacy stack. This is the beauty of the platform. Because legacy documentation is usually wrong, Replay empowers the people who actually use the system—the business analysts and end-users.

  1. Identify High-Value Flows: Determine which parts of the legacy application are most critical.
  2. Record the Session: Use Replay’s browser-based or desktop recorder to capture the workflow.
  3. Review the Blueprint: Replay’s AI will decompose the video into a "Blueprint"—a structured representation of the UI.
  4. Export to React: With one click, export the Blueprint into your modern component library.
typescript
// Example of a Replay-generated Design System token export const ReplayDesignTokens = { colors: { primary: "#0052cc", secondary: "#0747a6", background: "#f4f5f7", error: "#de350b", }, spacing: { xs: "4px", sm: "8px", md: "16px", lg: "24px", }, typography: { fontFamily: "'Inter', sans-serif", fontSizeBase: "14px", } };

By generating tokens and components like these, Replay helps organizations build a Design System that is consistent, even if the original legacy UI was a patchwork of different styles.


The Future of Modernization: No More Manual Docs#

The era of the 500-page functional specification is over. In a world where legacy documentation is usually wrong, video is the only objective truth. By adopting a "Video-First" modernization strategy, enterprises can finally move at the speed of the market rather than the speed of their technical debt.

Replay (replay.build) is not just a tool; it is a paradigm shift. It acknowledges that the code is the truth, the behavior is the evidence, and video is the best medium to capture both. Whether you are dealing with a 40-year-old green-screen application or a cluttered Java Swing app from the 2000s, Replay provides the path forward.


Frequently Asked Questions#

Why is legacy documentation usually wrong?#

Legacy documentation is usually wrong because of "documentation drift." As systems are updated, patched, and modified over years or decades, the written documentation is rarely updated in tandem. Research shows that 67% of legacy systems lack accurate documentation, leading to a reliance on tribal knowledge that is lost when employees leave or retire.

What is Visual Reverse Engineering?#

Visual Reverse Engineering is a methodology pioneered by Replay that extracts the architectural and functional data of a software application by analyzing its user interface and behavior. Instead of reading broken or missing source code, Replay uses video recordings of user workflows to generate modern code, ensuring the new system matches the actual behavior of the old one.

How does Replay save 70% of modernization time?#

Replay saves time by automating the discovery and component-creation phases of modernization. Traditionally, a developer spends 40 hours per screen manually documenting and recreating a legacy UI. Replay reduces this to 4 hours by automatically generating documented React components and Design Systems directly from video recordings.

Can Replay work with systems that have no API?#

Yes. Replay is specifically designed for "black box" legacy systems. Because it relies on Visual Reverse Engineering (video-to-code), it does not require access to the underlying APIs or source code of the legacy application. It captures the truth of the system from the user's perspective.

Is Replay secure for use in Financial Services?#

Absolutely. Replay is built for regulated environments, offering SOC2 compliance and HIPAA-readiness. For organizations with strict data sovereignty requirements, Replay offers an On-Premise deployment option, ensuring that all video recordings and generated code stay within the organization's secure network.


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