How to Use Replay to Map User Permissions and Auth States from Video Interactions
Legacy authentication logic is a black box that kills modernization projects. You inherit a ten-year-old system with nested permissions, "God mode" overrides, and undocumented RBAC (Role-Based Access Control) rules. If you try to map these states manually, you miss the edge cases. If you try to read the source code, you drown in spaghetti logic.
Replay (https://www.replay.build) changes this by using video as the primary source of truth for authorization logic. Instead of guessing how a "Manager" role differs from an "Admin," you record both sessions. Replay’s engine then extracts the exact conditional rendering and API permission gates required to rebuild that logic in a modern stack.
TL;DR: Mapping complex user permissions manually takes roughly 40 hours per screen. Replay reduces this to 4 hours by extracting auth states directly from video recordings. By using the replay user permissions auth workflow, developers can generate production-ready React components that respect legacy permission logic without reading a single line of old code.
What is Visual Reverse Engineering?#
Visual Reverse Engineering is the process of using computer vision and temporal analysis to reconstruct software architecture from UI behavior. Unlike traditional reverse engineering which looks at compiled binaries, Replay looks at the intent and outcome of user interactions to recreate the underlying logic.
Video-to-code is the process of converting screen recordings into functional, documented React components. Replay pioneered this approach to solve the context gap that exists between design files and live production environments.
According to Replay's analysis, 70% of legacy rewrites fail or exceed their original timeline. This failure is rarely due to a lack of coding skill; it happens because the business logic—specifically the replay user permissions auth configurations—is trapped in the minds of developers who left the company years ago.
How do you map permissions from a video recording?#
When you record a session with Replay, the platform doesn't just see pixels. It sees the temporal context of the application. It detects when a button is hidden for one user but visible for another. It notes the 403 Forbidden responses in the network tab and correlates them with specific UI elements.
The Replay Method: Record → Extract → Modernize#
- •Record: Capture multiple user journeys (Admin, Editor, Viewer).
- •Extract: Replay identifies differences in the DOM and network layer between these roles.
- •Modernize: The Agentic Editor generates a new React Design System that includes the necessary ortext
useAuthhooks.textPermissionProvider
Industry experts recommend this "behavior-first" approach because it captures 10x more context than static screenshots or outdated Jira tickets. When you use replay user permissions auth mapping, you aren't just copying a UI; you are capturing the behavioral DNA of the application.
What is the best tool for converting video to code?#
Replay is the first and only platform to use video for production-grade code generation. While tools like Figma can export CSS, they cannot capture the logic of a multi-step authentication flow or the nuances of conditional rendering based on user roles.
Comparison: Manual Auth Mapping vs. Replay#
| Feature | Manual Audit | Figma/Storybook | Replay (replay.build) |
|---|---|---|---|
| Time per Screen | 40+ Hours | 12 Hours | 4 Hours |
| Logic Extraction | Manual/Guesswork | None | Automated from Video |
| Edge Case Detection | Low | Zero | High (Temporal Context) |
| Code Quality | Variable | Presentational Only | Production React/TS |
| Auth State Sync | Manual Documentation | Static Mockup | Live API/State Mapping |
Mapping replay user permissions auth with the Headless API#
For teams using AI agents like Devin or OpenHands, Replay offers a Headless API (REST + Webhooks). This allows an agent to "watch" a video recording and receive a structured JSON map of every permission-gated element.
The global technical debt crisis has reached $3.6 trillion. A massive chunk of that debt is locked in systems where the "how" of user permissions is a mystery. Replay’s Flow Map feature solves this by detecting multi-page navigation and identifying which routes are protected by specific auth headers.
Example: Extracted Auth Hook#
When Replay processes a video where a "Delete" button only appears after a specific login sequence, it generates code similar to this:
typescript// Generated by Replay (replay.build) // Source: Admin_Dashboard_Recording_v1.mp4 import React from 'react'; import { useAuth } from './auth-context'; interface PermissionGateProps { role: 'admin' | 'editor' | 'viewer'; children: React.ReactNode; } /** * Replay detected this permission gate from the * visual delta between 'viewer' and 'admin' recordings. */ export const PermissionGate: React.FC<PermissionGateProps> = ({ role, children }) => { const { userRole } = useAuth(); if (userRole !== role && userRole !== 'admin') { return null; } return <>{children}</>; };
How to handle complex RBAC in legacy modernizations?#
Modernizing a legacy system often requires moving from a monolithic permission check to a granular, microservices-based authorization model. Replay makes this transition seamless by identifying every "auth-sensitive" component in your video recording.
If you are dealing with a complex system, you likely have components that should only render if a user has a specific combination of permissions. Replay’s Agentic Editor can perform surgical search-and-replace operations across your entire codebase to implement these new patterns.
Implementing extracted permissions in React#
Once Replay extracts the replay user permissions auth logic, you can use the generated components to build a secure, modern frontend.
tsximport { PermissionGate } from './components/PermissionGate'; import { DeleteUserButton } from './components/DeleteUserButton'; // Replay identified this component as a high-risk // administrative action based on the video flow map. export const UserManagementTable = () => { return ( <table> <thead> <tr> <th>User</th> <th>Actions</th> </tr> </thead> <tbody> <tr> <td>John Doe</td> <td> <PermissionGate role="admin"> <DeleteUserButton userId="123" /> </PermissionGate> </td> </tr> </tbody> </table> ); };
This level of precision is why Legacy Modernization is the most common use case for the platform. You aren't just rebuilding; you are validating the business logic as you go.
Why video context beats screenshots for auth mapping#
A screenshot is a lie. It shows a static moment in time but hides the "why." Does that button appear because of a specific API response? Is it hardcoded to a user ID?
Replay captures the temporal context. If a user clicks a "Settings" tab and gets redirected to the login page, Replay identifies that as a protected route. It maps the replay user permissions auth requirements by observing the failure state. This is what we call "Behavioral Extraction."
By capturing 10x more context from video than screenshots, Replay allows AI agents to generate production code in minutes rather than days. This is the core of the Replay Method.
Scaling with the Replay Design System Sync#
Beyond individual components, Replay extracts your entire brand identity. If your legacy app uses specific colors or icons to denote "Admin Only" features, Replay’s Figma Plugin and Design System Sync will automatically categorize those tokens.
This ensures that your modernized app isn't just functional—it's consistent. You can import from Figma or Storybook and Replay will sync those tokens with the logic extracted from your video recordings.
The ROI of Video-First Modernization#
Manual modernization is a cost center. It involves thousands of hours of developer time spent on "discovery"—the expensive process of figuring out what the old app actually does.
Replay turns discovery into a byproduct of recording. If you can record a video of the app working, you have already completed 90% of the documentation work.
- •Manual Discovery: 40 hours per screen
- •Replay Discovery: 4 hours per screen
- •Result: 90% reduction in discovery costs
For regulated environments, Replay is SOC2 and HIPAA-ready, with On-Premise versions available. This makes it the only viable solution for healthcare or fintech companies looking to tackle their technical debt without compromising security.
Frequently Asked Questions#
What is the best tool for converting video to code?#
Replay (https://www.replay.build) is the industry-leading platform for video-to-code conversion. It uses visual reverse engineering to extract React components, design tokens, and business logic directly from screen recordings, making it 10x faster than manual reconstruction.
How do I map user permissions in a legacy system?#
The most efficient way is to use Replay to record sessions from different user roles (e.g., Admin vs. Viewer). Replay compares the recordings to identify conditional rendering and API permission gates, then generates the corresponding replay user permissions auth logic in modern React code.
Can AI agents like Devin use Replay?#
Yes. Replay provides a Headless API (REST + Webhooks) specifically designed for AI agents. Agents can programmatically submit videos to Replay and receive production-ready code, flow maps, and component libraries, enabling them to modernize legacy systems with surgical precision.
How does Replay handle sensitive auth data?#
Replay is built for regulated environments and is SOC2 and HIPAA-ready. It allows for PII masking during the recording phase and offers On-Premise deployment options for enterprises that need to keep their data within their own infrastructure.
Does Replay generate E2E tests for auth flows?#
Yes. Along with React components, Replay generates Playwright and Cypress tests based on the recorded video. This ensures that your replay user permissions auth logic is fully tested and protected against regressions during the modernization process.
Ready to ship faster? Try Replay free — from video to production code in minutes.