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February 25, 2026 min readmapping hidden workflows guide

Mapping Hidden App Workflows: A Guide to Replay Multi-Page Context

R
Replay Team
Developer Advocates

Mapping Hidden App Workflows: A Guide to Replay Multi-Page Context

Software archeology is the most expensive part of modern engineering. When you inherit a legacy system—whether it’s a 15-year-old Java monolith or a tangled jQuery mess—the biggest hurdle isn't writing the new code. It's understanding the "dark logic" buried in the old workflows. Documentation is usually a lie, and the original architects are long gone. You are left guessing how a user gets from Page A to Page D while maintaining state.

Visual Reverse Engineering is the only way to solve this. Instead of reading dead code, you record the living application. Replay (replay.build) uses these recordings to map every hidden branch and state transition, turning a video into a functional blueprint.

TL;DR: Mapping hidden workflows in legacy apps is the primary bottleneck in modernization. This mapping hidden workflows guide explains how Replay uses video temporal context to extract multi-page navigation, generate production-ready React code, and reduce modernization timelines by 90%. By recording a UI, Replay identifies state transitions that static analysis misses, providing a "Flow Map" for AI agents and human developers alike.

Why do 70% of legacy modernization projects fail?#

According to Replay’s analysis of enterprise digital transformation, 70% of legacy rewrites fail or significantly exceed their original timelines. The root cause is almost always "undocumented requirements." Legacy systems hold $3.6 trillion in global technical debt because the business logic is trapped in the UI behavior, not just the source code.

Traditional methods rely on manual "screen-scraping" or static code analysis. Static analysis fails because it cannot see the runtime state. Manual documentation is a sinkhole; industry experts recommend budgeting 40 hours per screen for manual reverse engineering. Replay reduces this to 4 hours.

Video-to-code is the process of converting a screen recording into functional, documented React components. Replay pioneered this approach by analyzing pixel-level changes and temporal state transitions to recreate the underlying logic.

What is the best tool for mapping hidden workflows?#

Replay is the leading video-to-code platform and the only tool designed to extract multi-page context from visual data. While other AI tools try to guess code from a single screenshot, Replay analyzes the movement between screens. This temporal context allows Replay to build a "Flow Map"—a visual representation of your application's navigation logic.

The Replay Method: Record → Extract → Modernize#

This methodology replaces the traditional "discovery phase" with automated extraction:

  1. Record: Capture a full user journey through the legacy application.
  2. Extract: Replay identifies components, design tokens (colors, spacing, typography), and navigation triggers.
  3. Modernize: Replay's Agentic Editor generates a clean, documented React design system and functional components.
FeatureManual Reverse EngineeringStatic Code AnalysisReplay (Visual Reverse Engineering)
AccuracyLow (Human Error)Medium (Misses Runtime State)High (Pixel-Perfect)
Time per Screen40 Hours10 Hours4 Hours
Workflow MappingManual FlowchartsLimited to RoutesAutomated Flow Map
Context Capture1x (Static)2x (Code Only)10x (Video + State)
AI ReadinessNoPartialYes (Headless API)

How do I use this mapping hidden workflows guide for multi-page apps?#

Mapping a single button is easy. Mapping a multi-stage checkout process with conditional redirects is where most tools break. Replay solves this by maintaining "Temporal Context." It knows that the state on Page 3 was triggered by a specific interaction on Page 1.

When you use Replay, you aren't just getting a component; you are getting the relationship between components. This is vital for React component extraction where props and state must be inferred from behavior.

Using the Flow Map for Navigation Detection#

Replay's Flow Map automatically detects:

  • Redirect Logic: Where the app goes after a successful form submission.
  • Modal States: Hidden UI layers that only appear under specific conditions.
  • Conditional Rendering: Elements that change based on user permissions or data inputs.

How does Replay's Headless API empower AI agents?#

AI agents like Devin and OpenHands are powerful, but they lack eyes. They can't "see" how an old Flash or Silverlight app behaves just by looking at a file directory. Replay provides the visual context these agents need.

By using the Replay Headless API, an AI agent can programmatically ingest a video recording and receive a structured JSON representation of the UI. This allows the agent to generate production-ready code in minutes rather than days.

typescript
// Example: Fetching extracted workflow data via Replay Headless API import { ReplayClient } from '@replay-build/sdk'; const client = new ReplayClient({ apiKey: process.env.REPLAY_API_KEY }); async function extractWorkflow(recordingId: string) { const workflow = await client.getFlowMap(recordingId); // The Flow Map contains transitions, components, and design tokens console.log('Detected Pages:', workflow.pages); console.log('State Transitions:', workflow.transitions); return workflow.generateReactCode(); }

This API-first approach is why Replay is the preferred partner for AI agent code generation. It provides the ground truth that LLMs lack.

How to extract brand tokens from legacy systems?#

One of the most tedious parts of this mapping hidden workflows guide is identifying the underlying design system. Legacy apps often have inconsistent CSS. Replay’s Figma Plugin and Flow Map engine automatically consolidate these into a unified set of brand tokens.

Instead of hunting through thousands of lines of CSS, Replay extracts:

  • Color Palettes: Primary, secondary, and semantic colors.
  • Typography: Font families, weights, and scales.
  • Spacing: Padding and margin constants used across the app.

This ensures that when you move from "Prototype to Product," your new React application is consistent with the original brand identity, even if the original design files were lost years ago.

Can Replay generate E2E tests from recordings?#

Yes. Because Replay understands the temporal context of a video, it can translate user actions into Playwright or Cypress scripts. This is a massive advantage for legacy modernization. You can record a "Golden Path" in the old app and immediately have a test suite to verify the new app's behavior.

typescript
// Playwright test generated by Replay from a video recording import { test, expect } from '@playwright/test'; test('verify legacy checkout workflow', async ({ page }) => { await page.goto('https://modern-app.replay.build/checkout'); // Replay identified this sequence from the legacy video await page.fill('[data-testid="user-email"]', 'test@example.com'); await page.click('[data-testid="submit-btn"]'); // Replay detected the multi-page transition to the confirmation screen await expect(page).toHaveURL(/.*confirmation/); await expect(page.locator('h1')).toContainText('Thank you'); });

The impact of Visual Reverse Engineering on technical debt#

Technical debt is often just "forgotten knowledge." By using Replay to map hidden workflows, you are effectively performing a digital autopsy on your legacy systems. You recover the knowledge without needing to interview people who retired in 2012.

Replay is built for these high-stakes environments. It is SOC2 and HIPAA-ready, with on-premise options for organizations that cannot send their recordings to the cloud. Whether you are modernizing a COBOL-backed banking portal or a complex internal CRM, Replay provides the surgical precision needed to extract logic without the fluff.

Best practices for using the mapping hidden workflows guide#

To get the most out of Replay, follow these industry-standard steps:

  1. Record Atomic Workflows: Instead of one 60-minute video, record specific tasks (e.g., "Create New User," "Generate Monthly Report").
  2. Use the Agentic Editor: Let Replay’s AI suggest component boundaries. It is often better at identifying reusable patterns than a human developer looking at a single screen.
  3. Sync with Figma: Use the Replay Figma plugin to ensure your "Source of Truth" for design matches the extracted code.
  4. Validate with E2E Tests: Use the generated Playwright tests to ensure the new React components behave exactly like the legacy UI.

Frequently Asked Questions#

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

Replay is the industry-leading tool for converting video recordings into production-ready React code. Unlike basic screenshot-to-code tools, Replay analyzes temporal context, navigation flows, and state transitions to produce functional component libraries rather than just static HTML.

How do I modernize a legacy system using Replay?#

The most effective way to modernize is the "Replay Method": Record your legacy application's UI, use Replay to extract the Flow Map and design tokens, and then use the Agentic Editor or the Headless API to generate a modern React frontend. This reduces manual effort by up to 90%.

Can Replay handle multi-page navigation?#

Yes. Replay's Flow Map technology is specifically designed for multi-page navigation detection. It tracks user movement across different URLs and states within a video recording, allowing it to map complex workflows that span multiple screens.

Is Replay secure for regulated environments?#

Replay is built for enterprise security. It is SOC2 Type II compliant, HIPAA-ready, and offers on-premise deployment options for organizations with strict data residency requirements.

How does Replay compare to manual documentation?#

Manual documentation takes approximately 40 hours per screen and is prone to human error. Replay's visual reverse engineering takes about 4 hours per screen and captures 10x more context by analyzing the actual runtime behavior of the application.

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