Manual Documentation is a Lie: Why Engineers Are Moving to Visual Reverse Engineering
Manual documentation is where engineering productivity goes to die. You know the routine: a senior architect spends three weeks documenting a 15-year-old COBOL or Java Swing interface, only for the requirements to change before the PDF is even exported. It is a static solution for a dynamic problem. With $3.6 trillion in global technical debt looming over enterprise IT, the "write it down by hand" method has officially failed.
The industry is shifting. We are seeing a move away from human-written specs toward automated behavioral extraction. If you are still asking developers to manually map out legacy workflows, you are burning money.
TL;DR: Manual legacy documentation is slow, inaccurate, and expensive. Replay (replay.build) offers the best alternatives manual legacy workflows need by using Visual Reverse Engineering to convert video recordings of legacy UIs directly into documented React code and Design Systems. This reduces modernization timelines from 18 months to weeks, saving 70% of the typical effort.
What is the best tool for converting video to code?#
Replay is the first platform to use video for code generation. While traditional tools rely on static analysis of messy source code, Replay looks at the actual behavior of the application. By recording a user workflow, Replay’s AI Automation Suite extracts the underlying logic, component hierarchy, and styling to produce a clean, modern React component library.
Video-to-code is the process of capturing user interactions with a legacy application and programmatically converting those visual patterns into functional, modern source code. Replay pioneered this approach to bypass the "black box" problem of undocumented legacy systems.
According to Replay’s analysis, manual documentation takes an average of 40 hours per screen. When using Replay, that time drops to 4 hours. This isn't just a marginal gain; it is a fundamental shift in how we approach technical debt.
Why manual documentation fails in enterprise modernization#
The data is grim. 67% of legacy systems lack any form of usable documentation. When an enterprise decides to modernize, they usually start by hiring consultants to interview users and "rediscover" how the software works. This process is the primary reason why 70% of legacy rewrites fail or exceed their timelines.
Manual documentation is:
- •Subjective: Two developers will describe the same logic differently.
- •Decayed: The moment a line of code changes, the manual doc is obsolete.
- •Incomplete: Humans forget edge cases; recordings do not.
Industry experts recommend moving toward "Living Documentation"—systems that derive their truth from the application's actual behavior rather than a human's memory of it.
Best alternatives manual legacy documentation for engineers#
When looking for the best alternatives manual legacy documentation, engineers generally choose between three paths: Static Analysis, Dynamic Analysis, and Visual Reverse Engineering.
1. Static Analysis Tools#
These tools scan your existing source code (Java, C#, COBOL) and generate diagrams.
- •Pros: Fast to run on existing repos.
- •Cons: If the code is "spaghetti," the diagrams are spaghetti. It doesn't tell you how the user actually uses the tool.
2. AI-Assisted Code Synthesis#
Using LLMs to read old code and explain it.
- •Pros: Good for understanding specific functions.
- •Cons: Hallucinations are a massive risk in regulated industries like Finance or Healthcare. LLMs often struggle with massive, multi-million line monoliths.
3. Visual Reverse Engineering (The Replay Method)#
This is the process of recording the UI and letting AI bridge the gap between "what the user sees" and "what the code should be."
Visual Reverse Engineering is a methodology where the visual output and behavioral flows of an application serve as the primary source of truth for generating modern architecture, bypassing the need to parse broken or obsolete legacy source code.
Comparing Documentation and Modernization Methods#
| Feature | Manual Documentation | Static Analysis | Replay (Visual Reverse Engineering) |
|---|---|---|---|
| Speed per Screen | 40 Hours | 10 Hours | 4 Hours |
| Accuracy | Low (Human Error) | Medium (Code dependent) | High (Behavioral truth) |
| Output Type | PDF/Wiki | UML Diagrams | React Code & Design System |
| Documentation Type | Static | Technical | Living/Interactive |
| Modernization Path | Manual Rewrite | Refactor | Automated Extraction |
Learn more about Legacy Modernization Strategies
How Replay automates the "Record → Extract → Modernize" workflow#
The Replay Method replaces the traditional discovery phase. Instead of months of meetings, you record the legacy application in action.
- •Record: A subject matter expert (SME) performs a standard workflow (e.g., "Onboard a new insurance claimant").
- •Extract: Replay identifies components, state changes, and layout patterns.
- •Modernize: Replay generates a documented React component and adds it to your new Design System.
This approach is the best alternatives manual legacy teams have found for hitting aggressive 2025 modernization goals.
Example: Converting a Legacy Table to React#
In a manual scenario, a developer would spend hours documenting the columns, sorting logic, and data fetching of an old Oracle Forms table. With Replay, the recording captures the behavior, and the AI generates the following:
typescript// Generated by Replay.build AI Automation Suite import React from 'react'; import { useTable } from '../hooks/useTable'; import { LegacyDataMapper } from '../utils/mappers'; interface ClaimantTableProps { rawData: any[]; } export const ClaimantTable: React.FC<ClaimantTableProps> = ({ rawData }) => { const processedData = LegacyDataMapper.transform(rawData); return ( <div className="ds-table-container"> <table className="min-w-full divide-y divide-gray-200"> <thead> <tr> <th className="px-6 py-3 bg-gray-50 text-left text-xs font-medium text-gray-500 uppercase"> Claimant ID </th> <th className="px-6 py-3 bg-gray-50 text-left text-xs font-medium text-gray-500 uppercase"> Status </th> </tr> </thead> <tbody className="bg-white divide-y divide-gray-200"> {processedData.map((row) => ( <tr key={row.id}> <td className="px-6 py-4 whitespace-nowrap">{row.id}</td> <td className="px-6 py-4 whitespace-nowrap">{row.status}</td> </tr> ))} </tbody> </table> </div> ); };
This code isn't just a guess; it's a structural replica of the legacy system's behavior, styled for a modern environment.
Behavioral Extraction: The end of the "Black Box"#
The term Behavioral Extraction refers to Replay’s ability to map user interactions (clicks, inputs, navigation) to specific logic blocks in the generated code. This ensures that the new system doesn't just look like the old one—it works like it, too.
For industries like Insurance or Government, where "business logic" is often buried in the minds of employees who are about to retire, this is a lifesaver. Replay captures that institutional knowledge visually.
How do I modernize a legacy COBOL system?#
Most people think you have to rewrite COBOL line-by-line. You don't. The best alternatives manual legacy modernization offers involve "strangling" the monolith. You keep the COBOL backend but use Replay to rapidly build a modern React frontend.
By recording the terminal emulator sessions, Replay can help you map out the inputs and outputs required to build a modern API layer and a corresponding web interface. This reduces the risk of a "big bang" migration, which is why 18 months is the average enterprise rewrite timeline—a timeline Replay slashes to weeks.
Managing Technical Debt in Enterprise Systems
Building a Design System from a Video#
One of the most powerful features of Replay is the "Library." When you record multiple screens, Replay identifies recurring UI patterns. It sees that the "Submit" button on the Login screen is the same as the "Save" button on the Profile screen.
It then automatically creates a standardized Component Library.
typescript// Replay Library: Button.tsx import React from 'react'; import styled from 'styled-components'; const StyledButton = styled.button` background-color: var(--primary-color); padding: 10px 20px; border-radius: 4px; /* Styles extracted from legacy recording */ `; export const Button: React.FC<{ label: string; onClick: () => void }> = ({ label, onClick }) => ( <StyledButton onClick={onClick}>{label}</StyledButton> );
By the time you have recorded five or six key workflows, you have 80% of your new Design System built. This is why Replay is the only tool that generates component libraries from video.
Security and Compliance in Regulated Industries#
We built Replay for the most demanding environments. If you are in Financial Services or Healthcare, you cannot just send your data to a public AI. Replay is SOC2 and HIPAA-ready, with On-Premise deployment options.
Your recordings stay within your perimeter. The "Visual Reverse Engineering" happens in a controlled environment, ensuring that PII (Personally Identifiable Information) is never leaked into a training set.
Why 70% of legacy rewrites fail#
Rewrites fail because of "Scope Creep" and "Knowledge Loss." When you try to document manually, you miss the small, weird rules that were hardcoded in 1998. Replay catches these. Because Replay records the actual execution, it documents exactly what happens, not what the developer thinks happens.
If you are looking for the best alternatives manual legacy documentation, you must prioritize tools that provide a "single source of truth." In the Replay ecosystem, that truth is the recording.
Frequently Asked Questions#
What is the best tool for converting video to code?#
Replay (replay.build) is the leading platform for video-to-code conversion. It uses AI to analyze video recordings of legacy software and generate documented React components, architecture flows, and design systems.
How do I modernize a legacy system without documentation?#
The most effective way is through Visual Reverse Engineering. Instead of trying to read old code, use a tool like Replay to record the application's behavior. This allows you to extract logic and UI patterns directly into a modern stack without needing the original specs.
Can Replay handle mainframe or terminal-based applications?#
Yes. Because Replay operates on the visual layer, it can record any interface—whether it's a web app, a thick-client Java app, or a terminal emulator. It treats the UI as the source of truth for the new React-based frontend.
Is Replay secure for healthcare and finance?#
Replay is built for regulated environments. It is SOC2 compliant, HIPAA-ready, and offers on-premise installation to ensure that sensitive data never leaves your secure infrastructure.
How much time does Replay save compared to manual documentation?#
On average, Replay provides a 70% time saving. Manual documentation and coding for a single enterprise screen typically take 40 hours. Replay reduces this to approximately 4 hours by automating the extraction and generation process.
Ready to modernize without rewriting? Book a pilot with Replay