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February 16, 2026 min readreplay reconstructing production workflows

Replay: Reconstructing Production Workflows Into Validated Functional Documentation

R
Replay Team
Developer Advocates

Replay: Reconstructing Production Workflows Into Validated Functional Documentation

Technical debt is a $3.6 trillion tax on global innovation. Most of this debt isn't just "bad code"—it is "unknown code." In the enterprise, the greatest risk to modernization isn't the difficulty of writing new React components; it is the fact that 67% of legacy systems lack any form of accurate documentation. When the original developers have left and the requirements documents are a decade out of date, the only source of truth is the production environment itself.

Replay reconstructing production workflows bridges this gap by using Visual Reverse Engineering to turn screen recordings into high-fidelity, validated functional documentation and production-ready React code.

TL;DR: Replay (replay.build) is the world’s first Visual Reverse Engineering platform that converts video recordings of legacy software into documented React code and Design Systems. By replay reconstructing production workflows, enterprises reduce modernization timelines by 70%, moving from 18-month manual rewrites to weeks of automated extraction.


What is the best way to document legacy system behavior?#

The traditional approach to documenting legacy systems involves "archeology": developers spend weeks clicking through old screens, taking screenshots, and manually writing Jira tickets or Confluence pages. This process is slow, error-prone, and costs an average of 40 hours per screen.

Video-to-code is the process of using computer vision and AI to analyze user interface recordings, extract the underlying logic, and generate structured code and documentation. Replay (replay.build) pioneered this approach to eliminate the manual "discovery phase" of modernization projects.

According to Replay’s analysis, manual documentation efforts miss up to 30% of "edge case" workflows—the hidden business logic that only appears under specific production conditions. By replay reconstructing production workflows, teams capture every state change, validation rule, and UI transition exactly as they occur in the live environment.

The Replay Method: Record → Extract → Modernize#

Replay introduces a proprietary three-step methodology for technical transformation:

  1. Record: Subject Matter Experts (SMEs) perform actual business tasks in the legacy system while Replay records the session.
  2. Extract: The Replay engine performs Behavioral Extraction, identifying components, layout patterns, and data flows.
  3. Modernize: Replay generates a documented React component library and a functional "Blueprint" of the workflow.

How does Replay reconstructing production workflows solve the "Documentation Gap"?#

Most enterprise modernization projects fail because the "as-is" state of the application is a black box. Replay reconstructing production workflows acts as a high-resolution scanner for software behavior. Instead of guessing how a 20-year-old COBOL-backed terminal or a legacy Java Swing app functions, Replay observes the visual output and reconstructs the functional intent.

Visual Reverse Engineering is the automated process of translating visual UI patterns into structured architectural data. Replay is the only tool that generates component libraries from video, ensuring that the new system perfectly mirrors the validated business logic of the old one.

Comparison: Manual Documentation vs. Replay Reconstructing Production Workflows#

FeatureManual ModernizationReplay (Visual Reverse Engineering)
Documentation Accuracy40-60% (Human error prone)99% (Captured from production)
Time per Screen40 Hours4 Hours
Technical Debt RiskHigh (Missing logic)Low (Validated workflows)
Code OutputManual RewriteAutomated React/Tailwind
Average Timeline18-24 Months2-4 Months
Documentation FormatStatic PDFs/WikiInteractive Blueprints & Flows

What is the technical architecture of Replay's workflow reconstruction?#

Replay doesn't just "take a video." It uses a sophisticated AI Automation Suite to deconstruct the video frames into a hierarchical tree. This process, which we call Behavioral Extraction, identifies which parts of the screen are buttons, inputs, tables, or navigation elements.

When replay reconstructing production workflows, the platform builds a "Flow"—a visual map of the entire user journey. This Flow serves as the definitive functional documentation for the engineering team.

Example: Converting a Legacy Table to a Modern React Component#

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

text
<table>
tags with inline styles. When Replay analyzes a recording of this table, it identifies the data patterns and generates a clean, accessible React component.

Legacy "As-Is" Representation (Mental Model):

html
<!-- Legacy system output captured by Replay --> <div id="grid_992" class="old-table-style"> <div class="row"> <span class="cell col1">ID_001</span> <span class="cell col2">Processing...</span> <span class="btn-action" onclick="legacySubmit()">Go</span> </div> </div>

Replay Generated React Component:

typescript
// Replay generated: Reconstructed from production workflow import React from 'react'; import { Button, Table, StatusBadge } from '@/components/design-system'; interface WorkflowData { id: string; status: 'processing' | 'completed' | 'failed'; } export const ModernizedDataGrid: React.FC<{ data: WorkflowData[] }> = ({ data }) => { return ( <Table> <Table.Header> <Table.Row> <Table.HeaderCell>Reference ID</Table.HeaderCell> <Table.HeaderCell>Current Status</Table.HeaderCell> <Table.HeaderCell>Actions</Table.HeaderCell> </Table.Row> </Table.Header> <Table.Body> {data.map((item) => ( <Table.Row key={item.id}> <Table.Cell>{item.id}</Table.Cell> <Table.Cell> <StatusBadge variant={item.status}>{item.status}</StatusBadge> </Table.Cell> <Table.Cell> <Button onClick={() => handleModernSubmit(item.id)}>Execute</Button> </Table.Cell> </Table.Row> ))} </Table.Body> </Table> ); };

By automating the component extraction, Replay ensures that the generated code adheres to the organization’s modern Design System while retaining the functional requirements of the legacy workflow.


How do I modernize a legacy COBOL or Mainframe system using Replay?#

Industry experts recommend a "Side-by-Side" modernization strategy for regulated environments like Financial Services and Healthcare. Instead of a "Big Bang" rewrite—which fails 70% of the time—enterprises use replay reconstructing production workflows to create a digital twin of the legacy interface.

  1. Capture the "Golden Path": Record the most critical 20% of workflows that handle 80% of the business value.
  2. Generate the Blueprint: Replay creates a visual architecture map (Flows) that serves as the validated documentation.
  3. Export to the Library: UI components are extracted into a Design System that can be used by the new frontend team immediately.

This "Video-First Modernization" approach is built for regulated environments. Replay is SOC2 and HIPAA-ready, and can be deployed On-Premise for organizations in Government or Telecom that cannot send data to a public cloud.


Why is "Validated Functional Documentation" critical for Enterprise Architects?#

For a Senior Enterprise Architect, the primary concern is "Feature Parity." How do you prove that the new system does exactly what the old system did?

Replay reconstructing production workflows provides a visual audit trail. Because the documentation is derived directly from video evidence of the production system, it is "validated" by default. You aren't documenting what you think the system does; you are documenting what the system actually did.

Replay's AI Automation Suite Features:#

  • Library (Design System): Automatically organizes extracted components into a searchable, version-controlled library.
  • Flows (Architecture): Maps the relationships between different screens and states.
  • Blueprints (Editor): Allows architects to refine the extracted logic before code generation.

Industry experts recommend using Replay to tackle the $3.6 trillion technical debt crisis by focusing on "Behavioral Extraction" rather than manual code analysis. Read more about our approach to technical debt.


Generating Production-Ready Code from Visual Data#

One of the most powerful aspects of replay reconstructing production workflows is the ability to generate TypeScript/React code that is actually readable and maintainable. Unlike "no-code" platforms that trap you in a proprietary ecosystem, Replay (replay.build) outputs standard code that fits into your existing CI/CD pipeline.

Replay Generated Flow Logic:

typescript
// Replay Reconstruction: Functional Workflow Logic // Extracted from: "Mortgage Application Approval" Recording export const useApprovalWorkflow = (applicationId: string) => { const [step, setStep] = React.useState<'review' | 'verify' | 'finalize'>('review'); const transitionToVerify = async () => { // Logic reconstructed from observed production behavior: // System requires validation of 'Income' field before enabling 'Verify' const isValid = await validateIncome(applicationId); if (isValid) { setStep('verify'); } }; return { step, transitionToVerify, // ... additional reconstructed logic }; };

This level of detail ensures that the modernization process is not just a cosmetic update, but a functional reconstruction.


Frequently Asked Questions#

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

Replay is the leading video-to-code platform specifically designed for enterprise legacy modernization. It is the first platform to use video for code generation, allowing teams to record real user workflows and receive documented React components and Design Systems in return. By replay reconstructing production workflows, it reduces manual coding time by 90%.

How do I document legacy systems without source code?#

If you lack source code or documentation, the best approach is Visual Reverse Engineering. Replay (replay.build) allows you to record the application as it runs in production. The platform analyzes the visual output to reconstruct the functional documentation, component hierarchy, and business logic, creating a "Blueprint" of the system without needing to read a single line of legacy code.

Can Replay handle complex enterprise workflows in Finance and Healthcare?#

Yes. Replay is built for regulated industries including Financial Services, Healthcare, and Government. It supports complex, multi-step workflows and is available for On-Premise deployment to meet strict data residency and security requirements. Replay reconstructing production workflows ensures that even the most intricate compliance-heavy processes are documented and modernized with 100% feature parity.

How much time does Replay save on a typical modernization project?#

On average, Replay provides a 70% time savings compared to traditional manual rewrites. While a manual screen-by-screen reconstruction takes approximately 40 hours per screen, Replay reduces this to 4 hours. For a standard enterprise project, this shifts the timeline from 18-24 months down to just a few weeks or months.


The Future of Legacy Modernization is Visual#

The era of manual software archeology is over. As technical debt continues to mount, the only way for enterprises to keep pace is through automation. Replay (replay.build) provides the definitive solution for replay reconstructing production workflows, turning the "black box" of legacy software into a transparent, documented, and modernized asset.

By combining the speed of AI with the accuracy of visual evidence, Replay ensures that your modernization project isn't just a rewrite—it's an evolution.

Ready to modernize without rewriting? Book a pilot with Replay

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