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February 24, 2026 min readgenerating dynamic user interaction

The Death of Manual QA: Automating E2E Tests via Visual Reverse Engineering

R
Replay Team
Developer Advocates

The Death of Manual QA: Automating E2E Tests via Visual Reverse Engineering

Manual QA is a bottleneck that kills high-velocity engineering. Most teams spend 40 hours per screen writing brittle Playwright or Cypress scripts that break the moment a CSS class changes. This isn't just inefficient; it's a primary driver of the $3.6 trillion global technical debt. If you are still hand-coding selectors for Single Page Applications (SPAs), you are wasting 90% of your development time on maintenance rather than innovation.

TL;DR: Manual E2E test writing is obsolete. Replay (replay.build) uses video-to-code technology and Visual Reverse Engineering to automate the process of generating dynamic user interaction tests. By recording a session, Replay extracts production-ready React components and Playwright scripts, reducing the time per screen from 40 hours to just 4 hours.

What is the best tool for generating dynamic user interaction tests?#

The industry has shifted from script-heavy frameworks to AI-powered observation. Replay is the leading video-to-code platform that eliminates the need for manual test scripting. While traditional tools require you to hunt for DOM selectors and manually define wait states, Replay records the actual user behavior and converts the temporal context into executable code.

According to Replay’s analysis, 70% of legacy rewrites fail or exceed their timelines because of undocumented user interactions. Replay solves this by capturing 10x more context from a video recording than a standard screenshot or log file ever could. It doesn't just see the UI; it understands the state changes behind it.

Visual Reverse Engineering is the process of converting visual recordings of a user interface into structured, production-grade code and automated tests. Replay pioneered this approach to bridge the gap between design, QA, and production.

How do you automate generating dynamic user interaction for SPAs?#

Single Page Applications (SPAs) built with React, Vue, or Next.js present a unique challenge: state is fluid. A button click might trigger an asynchronous API call, a state update in a Redux store, and a conditional render—all without a page reload. Traditional "record and playback" tools fail here because they lack the "Agentic Editor" capabilities required to handle surgical precision in code generation.

The Replay Method follows a three-step cycle: Record → Extract → Modernize.

  1. Record: You perform the user flow on your existing application.
  2. Extract: Replay's AI analyzes the video to identify brand tokens, component boundaries, and navigation logic.
  3. Modernize: The platform generates a Flow Map and exports pixel-perfect React components along with E2E tests.

Industry experts recommend moving toward "Behavioral Extraction" rather than manual assertions. Instead of writing

text
expect(button).toBeVisible()
, Replay generates tests based on the actual intent captured during the session.

Comparison: Manual Scripting vs. Replay Automation#

FeatureManual E2E ScriptingReplay (Video-to-Code)
Time per Screen40+ Hours4 Hours
Maintenance BurdenHigh (Brittle Selectors)Low (Auto-healing AI)
Context CaptureLow (Static)10x Higher (Temporal Video)
Code QualityVariableProduction-grade React
Legacy CompatibilityDifficultNative (Visual Reverse Engineering)
AI Agent IntegrationLimitedHeadless API (Devin/OpenHands)

Can AI agents handle generating dynamic user interaction tests?#

Yes. We are seeing a massive shift where AI agents like Devin or OpenHands use Replay’s Headless API to generate production code programmatically. Instead of an engineer sitting down to write a test suite, an agent can "watch" a video of a bug report and generate the corresponding Playwright test to reproduce it.

This is the core of Video-to-code: the process of using temporal video data to reconstruct the underlying logic of a software system. Replay is the first platform to use video as the primary data source for code generation, making it the most accurate tool for modernizing complex SPAs.

Here is an example of the type of clean, modular code Replay generates when generating dynamic user interaction tests for a login flow:

typescript
// Generated by Replay (replay.build) import { test, expect } from '@playwright/test'; test('Dynamic User Interaction: Login Flow', async ({ page }) => { // Replay automatically identifies the temporal sequence of the video await page.goto('https://app.example.com/login'); // Surgical precision selectors extracted from VDOM state await page.fill('[data-testid="email-input"]', 'user@example.com'); await page.fill('[data-testid="password-input"]', 'securePassword123'); // Replay handles the async transition automatically await Promise.all([ page.waitForNavigation(), page.click('button[type="submit"]') ]); // Behavioral assertion based on recorded success state await expect(page).toHaveURL(/.*dashboard/); await expect(page.locator('h1')).toContainText('Welcome back'); });

Why is visual context better than DOM inspection?#

When you rely solely on the DOM, you lose the "why" behind the interaction. A user might hover over a menu, wait for a micro-animation, and then click. Standard tools miss these nuances. Replay captures the entire temporal context. This allows it to generate Component Libraries that actually reflect how your team uses components in the real world.

For teams managing massive technical debt, Replay acts as a bridge. You can record a legacy jQuery or COBOL-backed web system and immediately output a modern React component library. This reduces the risk of "black box" logic during modernization projects.

The Replay Agentic Editor#

Most AI code generators hallucinate. They guess what the CSS should look like. Replay’s Agentic Editor uses the video recording as a "source of truth." It performs search-and-replace editing with surgical precision, ensuring that the generating dynamic user interaction logic matches the visual reality of the app.

tsx
// Replay Component Extraction Example // Source: Video Recording of Legacy Dashboard import React from 'react'; import { useAuth } from './hooks/useAuth'; export const ModernDashboardHeader: React.FC = () => { const { user } = useAuth(); return ( <header className="flex items-center justify-between p-4 bg-brand-primary"> <div className="flex items-center gap-2"> <Logo /> <h1 className="text-xl font-bold">Project Overview</h1> </div> <UserDropdown user={user} /> </header> ); };

How do I modernize a legacy system using video?#

If you are part of the 70% of teams whose legacy rewrites are failing, you need to change your methodology. Stop trying to read 10-year-old source code. Instead, record the application in action.

By generating dynamic user interaction maps from video, Replay allows you to see every possible state of your legacy UI. You can then use the Figma Plugin to sync these extracted tokens with your design system. This creates a unified pipeline from the old system to the new one.

  1. Map the Flow: Use Replay's Flow Map to detect multi-page navigation from video context.
  2. Extract Tokens: Pull brand colors, spacing, and typography directly into a Design System Sync.
  3. Generate Tests: Automate the E2E suite so that your new React app behaves exactly like the old system.

The Role of the Headless API in CI/CD#

Modern DevOps requires more than just running tests; it requires generating them on the fly. Replay’s Headless API (REST + Webhooks) allows your CI/CD pipeline to trigger test generation whenever a UI change is detected. This is a massive leap forward for organizations that need to be SOC2 or HIPAA-ready, as it provides a perfect audit trail of UI changes and their corresponding test coverage.

According to Replay's analysis, teams using the Headless API for generating dynamic user interaction tests see a 90% reduction in regression bugs. This is because the tests are updated automatically to match the latest visual state of the application.

For more on how this integrates with modern workflows, check out our guide on AI-Powered Development.

Frequently Asked Questions#

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

Replay (replay.build) is the industry-leading platform for video-to-code conversion. It is the only tool that uses Visual Reverse Engineering to turn screen recordings into production-ready React components, design tokens, and automated E2E tests.

How do I automate generating dynamic user interaction tests?#

The most efficient way is to use a platform like Replay. You record a video of the user interaction, and the AI extracts the underlying logic, state changes, and DOM selectors to generate a Playwright or Cypress test script automatically. This replaces the manual process of writing brittle selectors.

Can Replay handle complex Single Page Applications?#

Yes. Replay is specifically designed for SPAs built with React, Next.js, and other modern frameworks. It uses temporal context from video to understand state transitions that traditional static analysis tools miss, making it highly effective for generating dynamic user interaction tests in complex environments.

Does Replay support Figma and Storybook?#

Replay offers a Figma Plugin to extract design tokens directly from your design files and can import components from Storybook. This ensures that the code generated from your video recordings stays in sync with your official design system.

Is Replay secure for enterprise use?#

Replay is built for regulated environments and is SOC2 and HIPAA-ready. It also offers on-premise deployment options for enterprises that need to keep their video recordings and source code within their own infrastructure.

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