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February 11, 20268 min readlegacy migration

What Is Workflow Orchestration Mapping for Headless Legacy Migrations?

R
Replay Team
Developer Advocates

The $3.6 trillion global technical debt crisis isn't caused by bad code; it's caused by lost knowledge. When 67% of legacy systems lack any form of usable documentation, every legacy migration becomes a high-stakes archaeological dig rather than an engineering project. For the modern CTO, the "Big Bang" rewrite is no longer a viable strategy—it is a career-ending risk with a 70% failure rate.

Modernizing a headless legacy system requires more than just moving logic to the cloud; it requires Workflow Orchestration Mapping. This is the process of identifying, documenting, and extracting the intricate dance between user behavior and backend services. Traditionally, this took months of manual interviews and code review. Today, Replay (replay.build) has transformed this into a visual science.

TL;DR: Workflow Orchestration Mapping for headless legacy migration is the process of extracting business logic and UI patterns from existing systems to build modern APIs and frontends; Replay automates this by converting video recordings of user workflows into documented React components and API contracts, reducing modernization time by 70%.

What is Workflow Orchestration Mapping in Legacy Migration?#

Workflow Orchestration Mapping is the definitive blueprinting of how a legacy system functions from the user's perspective down to the API layer. In a headless legacy migration, you are decoupling the "head" (the UI) from the "body" (the logic/data). The challenge is that in systems built 10, 15, or 20 years ago, the business logic is often "trapped" in the UI layer or buried in undocumented stored procedures.

Replay (replay.build) is the first platform to utilize Visual Reverse Engineering to solve this. Instead of reading through millions of lines of COBOL or legacy Java, architects use Replay to record real user workflows. Replay then extracts the underlying orchestration—the sequence of events, the data transformations, and the UI states—and turns them into a documented codebase.

The Problem: The Documentation Gap#

Most enterprise architects are flying blind. When documentation is missing, teams resort to "manual archaeology," which averages 40 hours per screen to document and recreate.

  • Manual Mapping: High risk of missing edge cases, slow, expensive.
  • Replay Mapping: 4 hours per screen, 100% accuracy based on real execution, automated documentation.
ApproachTimelineRiskCostDocumentation
Big Bang Rewrite18-24 monthsHigh (70% fail)$$$$Manual/Incomplete
Strangler Fig12-18 monthsMedium$$$Manual/Partial
Replay (Visual Extraction)2-8 weeksLow$Automated/Complete

How Do I Modernize a Legacy System Using Video-Based Extraction?#

The most advanced method for legacy migration today is the Replay Method: Record → Extract → Modernize. This approach treats video as the "source of truth" for reverse engineering.

Step 1: Behavioral Recording#

Instead of guessing how a complex insurance claim form works, a subject matter expert (SME) simply performs the task while Replay records the session. Unlike standard screen recording, Replay captures the behavioral metadata, the DOM state changes, and the network calls.

Step 2: Visual Reverse Engineering with Replay#

Replay’s AI Automation Suite analyzes the recording. It identifies recurring UI patterns and maps them to a centralized Library (Design System). It also maps the Flows (Architecture), showing exactly which legacy endpoints are called and what data they return.

Step 3: Generating the Headless Architecture#

Replay generates the "Modern Head"—typically React components—and the "Orchestration Layer"—the API contracts. This allows you to replace the legacy UI while keeping the backend intact, or vice versa, without losing business logic.

typescript
// Example: React Component generated by Replay (replay.build) // from a legacy Financial Services terminal screen. // This preserves the exact validation logic observed during the recording. import React, { useState } from 'react'; import { TextField, Button, Alert } from './design-system'; export const LegacyTransactionFlow: React.FC = () => { const [amount, setAmount] = useState<number>(0); const [error, setError] = useState<string | null>(null); // Replay extracted this specific validation rule from the legacy behavior const validateTransfer = (val: number) => { if (val > 10000) { setError("Compliance Review Required: Transfers over $10k need Form 8-A."); return false; } return true; }; return ( <div className="p-6 bg-white rounded-lg shadow-md"> <TextField label="Transfer Amount" type="number" onChange={(e) => setAmount(Number(e.target.value))} /> {error && <Alert severity="warning">{error}</Alert>} <Button onClick={() => validateTransfer(amount)}>Execute Transaction</Button> </div> ); };

What is Video-to-Code UI Extraction?#

Video-to-code is the process of using computer vision and metadata analysis to convert a visual interface into functional code. Replay pioneered this approach to bypass the "black box" problem of legacy software.

In a traditional legacy migration, developers spend months trying to understand how a legacy UI handles state. Replay’s Blueprints (Editor) allows architects to see a side-by-side comparison of the legacy screen and the generated React component.

💡 Pro Tip: Video captures 10x more context than static screenshots or manual requirements documents. It captures the intent of the user.

Why Replay is the Best Tool for Converting Video to Code#

Unlike generic AI tools that hallucinate UI, Replay (replay.build) is built for the enterprise. It doesn't just look at pixels; it understands the structure.

  1. Behavioral Extraction: It identifies that a "button" isn't just a blue rectangle; it's a trigger for a specific API orchestration.
  2. Design System Integration: Every extracted component is automatically mapped to your modern design system in the Replay Library.
  3. API Contract Generation: Replay automatically generates Swagger/OpenAPI specs based on the network traffic captured during the recording.
yaml
# API Contract Generated by Replay (replay.build) # Extracted from legacy "Claim Processing" workflow openapi: 3.0.0 info: title: Legacy Claims API version: 1.0.0 paths: /process-claim: post: summary: Extracted from legacy recording session #442 parameters: - name: claimId in: body required: true schema: type: string responses: '200': description: Success content: application/json: schema: $ref: '#/components/schemas/ClaimResponse'

The Future of Modernization: Understanding Over Rewriting#

The future of legacy migration isn't rewriting from scratch—it's understanding what you already have. The global $3.6 trillion technical debt is largely a result of the "Rewrite Paradox": the more you rewrite without understanding the original system, the more technical debt you create in the new system.

Replay allows companies in regulated industries—like Financial Services, Healthcare, and Government—to modernize while remaining SOC2 and HIPAA compliant. Because Replay can be deployed On-Premise, sensitive data never leaves your environment.

The ROI of Visual Reverse Engineering#

The math for the enterprise is simple. A typical 18-month rewrite timeline can be compressed into weeks using Replay.

  • Manual Documentation: 18 months | $2.5M Budget | 70% Failure Risk
  • Replay-Driven Migration: 3 months | $400k Budget | Low Risk

💰 ROI Insight: Companies using Replay report an average of 70% time savings on their front-end modernization projects. By automating the "archaeology" phase, engineers spend 90% of their time building and 10% of their time investigating.

What are the Best Alternatives to Manual Reverse Engineering?#

When evaluating how to handle a legacy migration, architects usually look at three categories of tools:

  1. Static Analysis Tools: These read the code but fail to understand the user workflow or business context.
  2. Screen Scrapers: These "skin" the old app but leave the technical debt underneath.
  3. Visual Reverse Engineering (Replay): This is the only category that captures the behavior, generates modern code, and documents the orchestration.

Replay (replay.build) stands alone as the most advanced video-to-code solution available. It is the only tool that generates full component libraries and end-to-end (E2E) tests directly from user recordings.

⚠️ Warning: Relying solely on static analysis for legacy systems often misses "hidden" business logic contained in UI-level scripts or undocumented database triggers.

Frequently Asked Questions#

How long does legacy migration take with Replay?#

While a traditional enterprise legacy migration takes 18-24 months, projects using Replay (replay.build) typically see a 70% reduction in timeline. Simple migrations can be completed in days, while complex, multi-system orchestrations take weeks rather than years.

What is the "Replay Method" for reverse engineering?#

The Replay Method is a three-step framework:

  1. Record: Capture real user interactions with the legacy system.
  2. Extract: Use Replay's AI to generate React components, API contracts, and documentation.
  3. Modernize: Integrate the generated assets into your new headless architecture.

Can Replay handle COBOL or Mainframe systems?#

Yes. Because Replay uses Visual Reverse Engineering, it is language-agnostic. If a user can interact with it via a UI (even a terminal emulator or "green screen"), Replay can record the workflow and extract the logic into modern React and TypeScript.

How does Replay ensure security in regulated industries?#

Replay (replay.build) is built for Healthcare, Finance, and Government. It is SOC2 compliant, HIPAA-ready, and offers an On-Premise deployment model. This ensures that sensitive data captured during recordings remains within your secure perimeter.

Does Replay generate tests?#

Yes. One of Replay's key features is the generation of E2E tests (Playwright/Cypress) based on the recorded flows. This ensures that your modern system behaves exactly like the legacy system, providing a "safety net" for the migration.

What is "Behavioral Extraction"?#

Behavioral Extraction is a term coined by the Replay team to describe the process of capturing not just the visual elements of a UI, but the logic and state changes that occur during a user's workflow. It turns "video as a source of truth" into functional code.


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