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January 5, 20267 min readHow Replay AI

How Replay AI automates UI testing with Jest and Enzyme for React components in 2026

R
Replay Team
Developer Advocates

TL;DR: Replay AI automates UI testing in React by reconstructing components from video recordings of user interactions, generating Jest and Enzyme tests that mirror real user behavior.

The Future of UI Testing is Here: Behavior-Driven Testing with Replay AI#

Imagine a world where your UI tests are automatically generated from recordings of real user interactions. No more tedious manual test creation, no more guessing what users will actually do. This is the promise of behavior-driven development (BDD), and Replay AI is making it a reality.

Replay AI analyzes video recordings of user sessions and reconstructs the UI, generating working React components and, crucially, corresponding Jest and Enzyme tests. This approach, which we call "Behavior-Driven Reconstruction," ensures your tests accurately reflect how users interact with your application, leading to more robust and reliable software.

Why Video-to-Code is a Game Changer for UI Testing#

Traditional UI testing often relies on manually written test cases that may not fully capture the nuances of user behavior. Screenshot-to-code tools can help with component generation, but they lack the behavioral context needed for effective testing. Replay AI bridges this gap by using video as the source of truth, understanding what users are doing and why they're doing it.

Here's how Replay AI stacks up against other approaches:

FeatureScreenshot-to-CodeManual TestingReplay AI
Input SourceScreenshotsManual SpecificationVideo Recordings
Behavior AnalysisLimitedRelies on Tester IntuitionComprehensive, AI-Driven
Test GenerationLimited to Visual AspectsManual Code WritingAutomated, Behavior-Driven
AccuracyLow, prone to visual discrepanciesVaries based on tester experienceHigh, reflects real user interactions
MaintenanceRequires significant manual updatesRequires significant manual updatesReduced, updates based on new video recordings
Time SavingsModerateLowHigh

💡 Pro Tip: Integrate Replay AI early in your development cycle to catch UI issues before they reach production.

Automating Jest and Enzyme Tests with Replay AI: A Step-by-Step Guide#

Let's dive into how Replay AI can automate the generation of Jest and Enzyme tests for your React components. This example assumes you have a React application set up with Jest and Enzyme.

Step 1: Record User Interactions#

The first step is to record video of users interacting with your application. This can be done using a screen recording tool or, ideally, with a dedicated session recording platform. The key is to capture the user's actions, including clicks, form submissions, and navigation events. Replay AI ingests these videos as its primary data source.

Step 2: Import Video into Replay AI#

Once you have your video recording, import it into Replay AI. The platform will analyze the video and begin reconstructing the UI components and user flow.

Step 3: Generate React Components and Tests#

Replay AI will automatically generate the React components and corresponding Jest and Enzyme tests. The tests will simulate the user interactions captured in the video, ensuring that your components behave as expected.

Here's an example of a generated React component:

typescript
// Generated by Replay AI import React, { useState } from 'react'; interface Props { initialCount: number; } const Counter: React.FC<Props> = ({ initialCount }) => { const [count, setCount] = useState(initialCount); const increment = () => { setCount(count + 1); }; return ( <div> <p>Count: {count}</p> <button onClick={increment}>Increment</button> </div> ); }; export default Counter;

And here's the corresponding Jest and Enzyme test generated by Replay AI:

typescript
// Generated by Replay AI import React from 'react'; import { shallow } from 'enzyme'; import Counter from './Counter'; describe('Counter Component', () => { it('should increment the count when the button is clicked', () => { const wrapper = shallow(<Counter initialCount={0} />); const button = wrapper.find('button'); button.simulate('click'); expect(wrapper.find('p').text()).toEqual('Count: 1'); }); });

📝 Note: The generated tests can be customized and extended to cover more complex scenarios.

Step 4: Integrate Tests into Your CI/CD Pipeline#

Finally, integrate the generated tests into your CI/CD pipeline. This will ensure that your UI is automatically tested whenever you make changes to your codebase.

Advanced Features of Replay AI for UI Testing#

Replay AI offers several advanced features that further enhance UI testing:

  • Multi-Page Generation: Replay AI can reconstruct entire user flows across multiple pages, generating tests that cover complex scenarios.
  • Supabase Integration: Seamlessly integrate with Supabase to test data-driven applications. Replay AI can automatically mock Supabase data during test execution.
  • Style Injection: Replay AI can inject styles into the generated components, ensuring that the tests accurately reflect the visual appearance of your application.
  • Product Flow Maps: Visualize user flows and identify potential bottlenecks or usability issues.

Addressing Common Concerns#

You might be wondering about the accuracy and reliability of AI-generated tests. Here are some common concerns and how Replay AI addresses them:

  • Test Flakiness: Replay AI minimizes test flakiness by focusing on behavior rather than pixel-perfect rendering. The generated tests are designed to be resilient to minor UI changes.
  • Maintenance Overhead: While Replay AI automates test generation, some maintenance is still required. However, the maintenance overhead is significantly reduced compared to manual testing. When the UI changes, simply re-record the user interactions and regenerate the tests.
  • Accuracy of Behavior Analysis: Replay AI uses advanced machine learning algorithms to accurately analyze user behavior. However, complex or ambiguous interactions may require manual review and adjustment.
ConcernTraditional TestingReplay AI
Test FlakinessHigh, due to reliance on brittle selectorsLow, focuses on user behavior
MaintenanceHigh, requires manual updates for UI changesModerate, regenerate tests from new recordings
AccuracyDependent on tester skill and knowledgeHigh, based on real user interactions
CoverageLimited by time and resourcesComprehensive, covers entire user flows

⚠️ Warning: Always review and validate the generated tests to ensure they accurately reflect the intended behavior of your application.

The Impact on Development Teams#

Using Replay AI for UI testing can have a profound impact on development teams:

  • Increased Efficiency: Automate test generation and reduce the time spent on manual testing.
  • Improved Quality: Catch UI issues earlier in the development cycle and improve the overall quality of your application.
  • Faster Time to Market: Accelerate the development process and release new features faster.
  • Reduced Costs: Lower testing costs by automating test generation and reducing the need for manual testing resources.

Frequently Asked Questions#

Is Replay AI free to use?#

Replay AI offers a free tier with limited features. Paid plans are available for larger teams and more advanced features. Check the pricing page on our website for the most up-to-date information.

How is Replay AI different from v0.dev?#

While both tools aim to streamline UI development, Replay AI focuses on behavior-driven reconstruction from video, whereas v0.dev uses text prompts to generate UI. Replay AI understands user intent through video analysis, resulting in more accurate and context-aware code generation, especially for testing.

What types of applications can Replay AI be used for?#

Replay AI can be used for a wide range of applications, including web applications, mobile applications, and desktop applications. Any application that can be recorded can be used with Replay AI.

What if the generated code isn't perfect?#

Replay AI is designed to generate high-quality code, but it's not always perfect. The generated code can be easily customized and extended to meet your specific needs. Think of it as a great starting point, significantly reducing the amount of code you need to write from scratch.


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