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January 15, 20268 min readReplay + Jest:

Replay + Jest: Automated UI Testing for AI-Generated Components

R
Replay Team
Developer Advocates

TL;DR: Automate UI testing for Replay-generated components using Jest and ensure your AI-generated code behaves as expected.

AI-powered code generation is rapidly changing how we build software. Tools like Replay, which leverages Gemini to reconstruct working UI from video recordings, offer unprecedented speed and efficiency. However, the rapid pace of AI-driven development introduces new challenges, especially in ensuring the reliability and consistency of generated code. How do we confidently ship AI-generated components? The answer lies in robust automated testing. This post explores how to combine Replay with Jest, a popular JavaScript testing framework, to create a powerful automated UI testing workflow.

The Challenge of Testing AI-Generated Code#

AI-generated code, while impressive, isn't immune to errors. Subtle variations in training data, unexpected edge cases in user behavior, or even slight changes in the AI model itself can lead to regressions. Traditional testing methods, often relying on manual QA or brittle snapshot tests, struggle to keep up with the dynamism of AI-driven development. We need a testing strategy that's both comprehensive and adaptable.

Consider the following scenario: Replay generates a complex multi-page form based on a user's recorded interaction. How do we ensure that all form fields function correctly, that validation rules are enforced, and that the overall user flow remains consistent after each code generation iteration? Manually testing every permutation would be incredibly time-consuming and error-prone.

Why Jest?#

Jest is a delightful JavaScript testing framework with a focus on simplicity. It offers:

  • Zero configuration: Get started quickly with minimal setup.
  • Built-in mocking: Easily mock dependencies and isolate components.
  • Snapshot testing: Capture the UI's rendered output and detect unexpected changes.
  • Excellent documentation: A wealth of resources to guide you.
  • Active community: A vibrant ecosystem of plugins and support.

Setting Up Your Testing Environment#

Before diving into testing Replay-generated components, let's set up our Jest environment.

Step 1: Install Dependencies#

First, install Jest and any necessary testing libraries, such as

text
@testing-library/react
for React components:

bash
npm install --save-dev jest @testing-library/react

Step 2: Configure Jest#

Create a

text
jest.config.js
file in your project root to configure Jest:

javascript
// jest.config.js module.exports = { testEnvironment: 'jsdom', // or 'node' for server-side code setupFilesAfterEnv: ['<rootDir>/src/setupTests.js'], // optional setup file moduleNameMapper: { '\\.(css|less|scss|sass)$': 'identity-obj-proxy', // mock CSS imports }, };

📝 Note: The

text
testEnvironment: 'jsdom'
setting is crucial for testing components that interact with the DOM, such as those generated by Replay.

Step 3: Create a Setup File (Optional)#

If you need to perform any global setup before each test, such as mocking API calls or configuring a testing framework, create a

text
src/setupTests.js
file:

javascript
// src/setupTests.js import '@testing-library/jest-dom'; // provides useful DOM matchers

Testing Replay-Generated Components with Jest#

Now that our environment is set up, let's explore how to test components generated by Replay. We'll focus on a simple example: a button component.

Example Component (Generated by Replay)#

Let's assume Replay generates the following React component:

jsx
// Button.jsx import React from 'react'; const Button = ({ onClick, children, primary }) => { const className = primary ? 'primary-button' : 'secondary-button'; return ( <button className={className} onClick={onClick}> {children} </button> ); }; export default Button;

This component is a basic button that accepts an

text
onClick
handler,
text
children
for the button text, and a
text
primary
prop to determine its style.

Writing Unit Tests#

Here's how we can write unit tests for this component using Jest and

text
@testing-library/react
:

javascript
// Button.test.jsx import React from 'react'; import { render, screen, fireEvent } from '@testing-library/react'; import Button from './Button'; describe('Button Component', () => { it('renders with the correct text', () => { render(<Button>Click Me</Button>); const buttonElement = screen.getByText('Click Me'); expect(buttonElement).toBeInTheDocument(); }); it('calls the onClick handler when clicked', () => { const onClick = jest.fn(); render(<Button onClick={onClick}>Click Me</Button>); const buttonElement = screen.getByText('Click Me'); fireEvent.click(buttonElement); expect(onClick).toHaveBeenCalledTimes(1); }); it('applies the primary class when primary prop is true', () => { render(<Button primary>Click Me</Button>); const buttonElement = screen.getByText('Click Me'); expect(buttonElement).toHaveClass('primary-button'); }); it('applies the secondary class when primary prop is false', () => { render(<Button>Click Me</Button>); const buttonElement = screen.getByText('Click Me'); expect(buttonElement).toHaveClass('secondary-button'); }); });

This test suite covers the following aspects of the

text
Button
component:

  • Rendering with the correct text.
  • Calling the
    text
    onClick
    handler when clicked.
  • Applying the correct CSS class based on the
    text
    primary
    prop.

Snapshot Testing#

Snapshot testing is a powerful technique for detecting unexpected UI changes. Jest takes a "snapshot" of the rendered component and compares it to a previously stored snapshot. If there's a difference, the test fails, indicating a potential regression.

Here's how to add a snapshot test to our

text
Button.test.jsx
file:

javascript
// Button.test.jsx (added snapshot test) import React from 'react'; import { render, screen, fireEvent } from '@testing-library/react'; import Button from './Button'; import renderer from 'react-test-renderer'; // Import the renderer describe('Button Component', () => { // ... existing tests ... it('matches the snapshot', () => { const tree = renderer.create(<Button>Click Me</Button>).toJSON(); expect(tree).toMatchSnapshot(); }); });

The first time you run this test, Jest will create a snapshot file (e.g.,

text
Button.test.jsx.snap
) containing the rendered output of the
text
Button
component. Subsequent test runs will compare the current output to the stored snapshot.

⚠️ Warning: Snapshot tests can be brittle if not used carefully. Avoid using them for components with highly dynamic content. Focus on testing the component's structure and core functionality.

Integrating Tests into Your Workflow#

To fully leverage the power of automated testing, integrate your Jest tests into your development workflow.

CI/CD Integration#

Run your tests as part of your CI/CD pipeline to catch regressions early. Most CI/CD platforms (e.g., GitHub Actions, GitLab CI, CircleCI) provide built-in support for running Jest tests.

Watch Mode#

Use Jest's watch mode (

text
jest --watchAll
) during development to automatically re-run tests whenever you make changes to your code. This provides immediate feedback on the impact of your changes.

Replay's Role in Streamlining Testing#

Replay can significantly streamline the testing process for AI-generated components.

  • Behavior-Driven Reconstruction: By analyzing video recordings of user interactions, Replay generates code that closely reflects the intended behavior. This reduces the likelihood of unexpected edge cases and makes it easier to write comprehensive tests.

  • Multi-Page Generation: Replay can generate entire user flows across multiple pages. This allows you to write end-to-end tests that verify the overall application behavior.

  • Supabase Integration: Replay's Supabase integration enables you to easily test components that interact with your backend data.

FeatureTraditional TestingReplay + Jest
Test CoverageManual, limited scopeAutomated, comprehensive
Regression DetectionDelayed, error-proneEarly, accurate
Development SpeedSlower, iterativeFaster, more confident
AI-Generated Code SupportChallengingStreamlined
Video Input
Behavior Analysis

💡 Pro Tip: Use Replay to generate components based on real user behavior, then use Jest to write tests that validate that behavior. This combination creates a powerful feedback loop for improving the quality of your AI-generated code.

Advanced Testing Techniques#

Beyond basic unit and snapshot tests, consider these advanced techniques for testing Replay-generated components:

  • End-to-End (E2E) Testing: Use tools like Cypress or Playwright to test the entire application flow, from the user interface to the backend.
  • Property-Based Testing: Define properties that should always hold true for your components, and use a property-based testing library to generate random inputs and verify that the properties are satisfied.
  • Visual Regression Testing: Use tools like Percy or Chromatic to detect subtle visual changes that might not be caught by snapshot tests.

Frequently Asked Questions#

Is Replay free to use?#

Replay offers a free tier with limited functionality. Paid plans are available for more advanced features and higher usage limits. Check the Replay pricing page for the latest details.

How is Replay different from v0.dev?#

While both Replay and v0.dev are AI-powered code generation tools, they differ in their approach. Replay analyzes video recordings of user interactions to understand the intended behavior, while v0.dev relies on text prompts. This "Behavior-Driven Reconstruction" approach allows Replay to generate more accurate and context-aware code.

Can I use Replay with other testing frameworks besides Jest?#

Yes! While this article focuses on Jest, Replay-generated components can be tested with any JavaScript testing framework, such as Mocha, Jasmine, or Cypress.

What if Replay generates code that I don't like?#

Replay provides options to customize the generated code, including style injection and integration with your existing codebase. You can also manually edit the generated code to fine-tune it to your specific requirements. The goal of Replay is to accelerate development, not to replace developers.


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