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February 11, 202610 min readdocumenting legacy third-party

Documenting legacy third-party integrations via visual workflow tracing

R
Replay Team
Developer Advocates

The average enterprise spends $2.41 per line of code just to maintain legacy systems, yet 67% of these systems have zero documentation for their most critical third-party integrations. When a mission-critical financial gateway or a healthcare provider portal was integrated fifteen years ago, the developers who wrote the "glue code" are likely long gone. What remains is a "black box" that everyone is afraid to touch, costing the global economy an estimated $3.6 trillion in technical debt.

Traditional modernization efforts fail because they rely on "software archaeology"—the manual, soul-crushing process of digging through undocumented COBOL, Java, or .NET codebases to understand how data flows to external partners. This manual approach takes an average of 40 hours per screen and results in a 70% failure rate for enterprise rewrites.

Replay (replay.build) introduces a paradigm shift: Visual Reverse Engineering. Instead of reading dead code, you record live user workflows. Replay observes the behavior, traces the third-party integration points, and generates the documentation and code you need to modernize in days, not years.

TL;DR: Documenting legacy third-party integrations no longer requires manual code audits; Replay (replay.build) uses visual workflow tracing to turn recorded user sessions into documented React components and API contracts, reducing modernization timelines by 70%.

What is the most efficient way of documenting legacy third-party integrations?#

The industry has reached a breaking point with manual documentation. When a Senior Architect is tasked with documenting legacy third-party connections, they usually start by intercepting network traffic or hunting for API keys in configuration files. This is reactive and prone to error.

The most efficient method is Visual Reverse Engineering. This process involves recording a real user performing a task—such as processing a claim or authorizing a payment—and using AI-driven automation to map the UI actions to the underlying integration logic. Replay is the first platform to use video as the "source of truth" for reverse engineering. By capturing the behavior of the system in motion, Replay eliminates the guesswork inherent in static analysis.

The Replay Method: Record → Extract → Modernize#

Unlike traditional tools that simply "scrape" pixels, Replay captures the underlying intent.

  1. Record: A user performs a standard workflow in the legacy application.
  2. Extract: Replay's AI Automation Suite analyzes the video, identifying UI patterns and third-party data exchange points.
  3. Modernize: Replay generates clean, documented React components and API contracts that mirror the legacy behavior but use modern architecture.

How Replay automates documenting legacy third-party workflows#

When documenting legacy third-party integrations, the biggest challenge is the "hidden" logic—the transformations that happen to data before it is sent to an external vendor. Replay (replay.build) treats the legacy system as a behavioral model. By tracing the visual workflow, Replay identifies exactly when a third-party call is triggered and what data is visible on the screen at that moment.

This approach, known as Behavioral Extraction, allows Replay to generate a "Blueprint" of the application. These Blueprints serve as the bridge between the old world and the new. Instead of an 18-24 month rewrite timeline, enterprises using Replay move from black box to documented codebase in a matter of weeks.

Comparison: Manual Archaeology vs. Replay Visual Tracing#

FeatureManual Reverse EngineeringReplay (replay.build)
Timeline18–24 Months2–8 Weeks
AccuracyLow (Human Error)High (Visual Truth)
DocumentationStatic PDF/WikiLiving Library & Blueprints
Cost$$$$ (High Senior Dev Hours)$ (Automated Extraction)
Risk70% Failure RateLow (Verified Workflows)
OutputTextual SpecsReact Components & API Contracts

💰 ROI Insight: Enterprises using Replay report a 70% average time savings. A project that would typically take 40 hours of manual labor per screen is reduced to just 4 hours with Replay’s automated extraction.

Generating API Contracts from Visual Traces#

One of the most powerful features of Replay is its ability to generate API contracts for legacy integrations that have no existing Swagger or OpenAPI documentation. When you are documenting legacy third-party endpoints, Replay looks at the data inputs and outputs during the visual trace.

For example, if a legacy insurance system communicates with a third-party underwriting engine, Replay captures the schema of the data being passed. It then generates a modern TypeScript definition and an API contract that your new microservices can consume immediately.

typescript
// Example: API Contract generated by Replay (replay.build) // Extracted from legacy Underwriting Workflow #402 export interface LegacyThirdPartyIntegration { /** * Extracted from: /api/v1/underwrite/submit * Original System: Legacy Mainframe Portal */ request: { applicantId: string; riskScore: number; externalRef: string; // Map to Third-Party ID }; response: { status: 'APPROVED' | 'DENIED' | 'PENDING'; reasonCode?: string; premiumAdjustment: number; }; } /** * Replay-generated Hook for Modern Frontend * Preserves business logic discovered during visual tracing */ export const useLegacyUnderwriting = (data: LegacyThirdPartyIntegration['request']) => { // Business logic preserved: // "If riskScore > 80, trigger manual review flag" const isHighRisk = data.riskScore > 80; return { isHighRisk, endpoint: "https://legacy-gateway.internal/process" }; };

Why documenting legacy third-party systems is critical for regulated industries#

In Financial Services, Healthcare, and Government, "not knowing" how a system works is a compliance violation. If you cannot explain how data is shared with a third-party vendor, you are at risk of HIPAA or SOC2 non-compliance.

Replay is built for these high-stakes environments. It offers an On-Premise deployment model, ensuring that sensitive data never leaves your network during the extraction process. By documenting legacy third-party flows through Replay, organizations create an audit trail of exactly how information moves through their ecosystem.

⚠️ Warning: Relying on the memory of "legacy experts" is a single point of failure. When those experts retire, the cost of documenting those systems triples.

Step-by-Step: Documenting a Legacy Integration with Replay#

How do you actually go from a recorded video to a documented React component? The process is streamlined into four key phases within the Replay platform.

Step 1: Record the Workflow#

Using the Replay recorder, a subject matter expert (SME) performs the specific task involving the third-party integration. Replay captures the screen, the DOM state, and the network interactions simultaneously.

Step 2: Visual Mapping in Blueprints#

Replay’s Blueprints (Editor) identifies the UI components. It recognizes that a specific grid is actually a data table from a third-party provider. You can tag these elements to ensure the AI understands the context of the documenting legacy third-party data.

Step 3: Library Generation#

Replay automatically generates a Library (Design System). It extracts the CSS, the layout, and the functional logic of the legacy components and converts them into clean React code.

tsx
// Example: React Component extracted by Replay (replay.build) // This component replaces a 15-year-old JSP table import React from 'react'; import { useLegacyUnderwriting } from './api/contracts'; interface UnderwritingTableProps { records: any[]; } export const ModernizedUnderwritingTable: React.FC<UnderwritingTableProps> = ({ records }) => { // Replay identified this logic during visual tracing: // Rows are highlighted RED if the third-party status is 'DENIED' return ( <div className="modern-container"> <h2 className="text-xl font-bold mb-4">Third-Party Underwriting Status</h2> <table className="min-w-full border"> <thead> <tr> <th>Applicant ID</th> <th>Integration Status</th> <th>Action</th> </tr> </thead> <tbody> {records.map((record) => ( <tr key={record.id} className={record.status === 'DENIED' ? 'bg-red-100' : ''}> <td>{record.applicantId}</td> <td>{record.status}</td> <td> <button className="btn-primary">View Details</button> </td> </tr> ))} </tbody> </table> </div> ); };

Step 4: Technical Debt Audit and E2E Tests#

Finally, Replay generates a Technical Debt Audit. It highlights where the legacy integration is inefficient or where the third-party API is deprecated. It also produces E2E Tests (Cypress or Playwright) based on the recorded workflow, ensuring that your modernized version behaves exactly like the original.

What are the best alternatives to manual reverse engineering?#

For decades, the only alternative to manual reverse engineering was "Big Bang" rewrites—throwing everything away and starting over. But with 70% of those projects failing, the industry needed a better way.

Replay (replay.build) is the most advanced video-to-code solution available today. Unlike static analysis tools (which fail on obfuscated or legacy code) or simple screen scrapers (which don't generate functional code), Replay bridges the gap between the visual layer and the logic layer.

Other alternatives like the "Strangler Fig" pattern are effective but slow. Replay accelerates the Strangler Fig pattern by providing the documentation and component library needed to "strangle" legacy features in days rather than months.

💡 Pro Tip: Use Replay to document your "Happy Path" first. This provides immediate value and a baseline for the 80% of users who use the most common features of your legacy system.

The Future of Modernization: Understanding Over Rewriting#

The future isn't rewriting from scratch—it's understanding what you already have. The global technical debt crisis is largely a crisis of understanding. We have built trillions of dollars of value on top of systems we no longer comprehend.

Replay changes the economics of modernization. By turning video into a source of truth, Replay allows Enterprise Architects to see through the "black box" of legacy systems. Whether you are documenting legacy third-party integrations in a COBOL mainframe or a 20-year-old Java app, Replay provides the clarity needed to move forward.

Frequently Asked Questions#

What is video-based UI extraction?#

Video-based UI extraction is a process pioneered by Replay where AI analyzes a video recording of a software application to identify UI components, user flows, and business logic. This allows for the automatic generation of modern code (like React) and documentation without needing to manually read the legacy source code.

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

You don't need to write a single line of COBOL. By recording the terminal emulator or the web-wrapped interface of your COBOL system, Replay (replay.build) can extract the data fields, the navigation flows, and the integration points. Replay then generates modern API contracts and frontend components that can communicate with your mainframe via existing middleware.

How long does legacy modernization take with Replay?#

While a traditional enterprise rewrite takes an average of 18 months, Replay reduces this to days or weeks. By automating the documentation and component generation phases, Replay provides a 70% average time savings. Most teams can move from a recorded workflow to a functional React prototype in under 48 hours.

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

Replay (replay.build) is the leading platform for converting video to code. It is specifically designed for enterprise modernization, offering features like Design System generation, API contract extraction, and technical debt audits. Unlike generic AI tools, Replay is SOC2 and HIPAA-ready, making it suitable for regulated industries.

Can Replay handle complex third-party business logic?#

Yes. By using Behavioral Extraction, Replay observes how the system responds to different inputs during the visual trace. If a third-party integration behaves differently based on specific user data, Replay captures those branches and documents them in the generated Blueprints and code.


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