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January 8, 20268 min readReplay: Automate UI

Replay: Automate UI Build Processes with Continuous Integration

R
Replay Team
Developer Advocates

TL;DR: Replay streamlines UI development by converting video recordings of user interactions into functional code, enabling automated UI build processes within CI/CD pipelines.

Stop Manually Building UIs: Automate with Replay and CI/CD#

Building and maintaining UIs is a constant challenge. Manually translating designs and user flows into code is time-consuming, error-prone, and often a bottleneck in the development process. What if you could capture a user flow, and automatically generate the necessary code? Replay makes this a reality.

Replay leverages video analysis and AI to understand user behavior and intent, automatically generating working UI code from screen recordings. This unlocks powerful opportunities to automate UI build processes within your Continuous Integration and Continuous Delivery (CI/CD) pipelines.

The Problem: Manual UI Development is Slow and Inefficient#

Traditional UI development involves:

  1. Designing mockups and prototypes
  2. Manually coding components and interactions
  3. Testing and debugging to ensure proper functionality
  4. Iterating on designs based on user feedback

This process is slow, expensive, and prone to errors. It also makes it difficult to quickly adapt to changing user needs. Existing screenshot-to-code solutions only address part of the problem, focusing on visual appearance rather than underlying behavior.

Replay: Behavior-Driven Reconstruction for Automated UI Builds#

Replay takes a different approach. Instead of relying on static screenshots, Replay analyzes video recordings of user interactions. This "Behavior-Driven Reconstruction" allows Replay to understand what users are trying to do, not just what they see.

Here's how Replay transforms your UI workflow:

  1. Record User Flows: Capture video recordings of users interacting with your application or prototype.
  2. Replay Analyzes the Video: Replay's AI engine analyzes the video, identifying UI elements, user actions, and data inputs.
  3. Code Generation: Replay automatically generates clean, functional code based on the analyzed video.
  4. Integrate with CI/CD: Integrate Replay into your CI/CD pipeline to automatically build and deploy UI updates.

Key Features that Enable Automation#

Replay offers several key features that make it ideal for automating UI build processes:

  • Multi-Page Generation: Generate code for complex, multi-page applications.
  • Supabase Integration: Seamlessly integrate with Supabase for data storage and retrieval.
  • Style Injection: Customize the look and feel of your UI with style injection.
  • Product Flow Maps: Visualize user flows and identify areas for improvement.
FeatureScreenshot-to-CodeManual CodingReplay
Video Input
Behavior Analysis✅ (Manual)
Code Generation✅ (Manual)
AutomationLimited
AccuracyLowHighHigh
SpeedFastSlowFast

Integrating Replay into Your CI/CD Pipeline: A Step-by-Step Guide#

Here's how you can integrate Replay into your CI/CD pipeline to automate UI builds. We'll use GitHub Actions as an example, but the principles apply to other CI/CD platforms as well.

Step 1: Set up a GitHub Repository and Project#

Create a new GitHub repository for your project. Initialize a basic project structure, including a

text
package.json
file and a basic UI component.

Step 2: Configure Replay#

  1. Record your UI flow: Use a screen recording tool to capture a video of the desired UI interaction.
  2. Upload to Replay: Upload the video to the Replay platform.
  3. Generate Code: Replay will analyze the video and generate the corresponding code.
  4. Download the Generated Code: Download the generated code as a
    text
    .zip
    file.

Step 3: Create a GitHub Actions Workflow#

Create a new workflow file in your repository under

text
.github/workflows
. For example, you can name it
text
ui-build.yml
.

yaml
name: UI Build with Replay on: push: branches: [ main ] pull_request: branches: [ main ] jobs: build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - name: Set up Node.js uses: actions/setup-node@v3 with: node-version: 18 - name: Install Dependencies run: npm install - name: Download Replay-Generated Code # Replace with your actual Replay API endpoint or method run: | curl -H "Authorization: Bearer YOUR_REPLAY_API_KEY" -o replay-code.zip https://api.replay.build/generate-code?video_id=YOUR_VIDEO_ID - name: Unzip Replay-Generated Code run: unzip replay-code.zip -d src/components/ReplayGenerated - name: Build UI run: npm run build - name: Deploy UI # Add your deployment steps here (e.g., deploy to Netlify, Vercel, etc.) run: echo "Deploying UI..."

📝 Note: Replace

text
YOUR_REPLAY_API_KEY
and
text
YOUR_VIDEO_ID
with your actual Replay API key and video ID. You'll also need to adjust the deployment steps to match your specific deployment environment.

Step 4: Integrate Replay Code into Your Project#

The Replay-generated code will be unzipped into the

text
src/components/ReplayGenerated
directory. You can then import and use these components in your application.

typescript
// Example: Importing a Replay-generated component import ReplayComponent from './components/ReplayGenerated/MyComponent'; const App = () => { return ( <div> <h1>My Application</h1> <ReplayComponent /> </div> ); }; export default App;

Step 5: Configure Build and Deployment#

Configure your build and deployment steps in the GitHub Actions workflow. This will typically involve running commands like

text
npm run build
to build your UI and then deploying the built files to a hosting platform like Netlify or Vercel.

💡 Pro Tip: Consider using environment variables to store sensitive information like API keys and deployment credentials.

Step 6: Test and Iterate#

Commit your changes to the

text
main
branch. This will trigger the GitHub Actions workflow, which will download the Replay-generated code, build your UI, and deploy it to your hosting platform.

Test the deployed UI to ensure that it functions as expected. If you need to make changes, simply record a new video, upload it to Replay, and update the code in your repository. The CI/CD pipeline will automatically build and deploy the updated UI.

Real-World Example: Automating a User Authentication Flow#

Let's say you want to automate the UI build process for a user authentication flow. You can record a video of a user signing up and logging in to your application. Replay can then generate the code for the signup and login forms, as well as the logic for handling user authentication.

Here's an example of the kind of code Replay might generate for a simple login form:

typescript
import React, { useState } from 'react'; const LoginForm = () => { const [email, setEmail] = useState(''); const [password, setPassword] = useState(''); const handleSubmit = async (e) => { e.preventDefault(); try { const response = await fetch('/api/login', { method: 'POST', headers: { 'Content-Type': 'application/json', }, body: JSON.stringify({ email, password }), }); if (response.ok) { // Handle successful login console.log('Login successful!'); } else { // Handle login error console.error('Login failed.'); } } catch (error) { console.error('Error during login:', error); } }; return ( <form onSubmit={handleSubmit}> <div> <label htmlFor="email">Email:</label> <input type="email" id="email" value={email} onChange={(e) => setEmail(e.target.value)} /> </div> <div> <label htmlFor="password">Password:</label> <input type="password" id="password" value={password} onChange={(e) => setPassword(e.target.value)} /> </div> <button type="submit">Login</button> </form> ); }; export default LoginForm;

Replay doesn't just generate static HTML; it understands the underlying logic and generates functional components that you can easily integrate into your application.

Benefits of Automating UI Builds with Replay#

  • Faster Development Cycles: Automate the UI build process and reduce development time.
  • Improved Accuracy: Eliminate manual coding errors and ensure consistent UI quality.
  • Increased Efficiency: Free up developers to focus on more complex tasks.
  • Reduced Costs: Lower development costs by automating repetitive tasks.
  • Faster Iteration: Quickly adapt to changing user needs by rapidly prototyping and deploying UI updates.

⚠️ Warning: While Replay automates code generation, it's crucial to review and test the generated code thoroughly to ensure it meets your specific requirements and security standards.

Replay vs. Traditional UI Development#

FeatureTraditional UI DevelopmentReplay-Driven UI Development
Development SpeedSlowFast
AccuracyProne to ErrorsHigh
CostHighLow
Iteration SpeedSlowFast
AutomationManualAutomated
Behavior UnderstandingManual (Requires Testing)Automatic (From Video)

Frequently Asked Questions#

Is Replay free to use?#

Replay offers a free tier with limited usage, as well as paid plans for more advanced features and higher usage limits. Check the pricing page for the most up-to-date information.

How is Replay different from v0.dev?#

v0.dev primarily focuses on generating UI components from text prompts. Replay, on the other hand, analyzes video recordings of user interactions to understand behavior and generate code. This allows Replay to capture more complex user flows and generate more accurate and functional code. Replay uses "Behavior-Driven Reconstruction," making video the source of truth.

What kind of applications is Replay best suited for?#

Replay is well-suited for a wide range of applications, including web applications, mobile applications, and desktop applications. It is particularly useful for automating the UI build process for complex applications with multiple pages and user flows.

Can I customize the code generated by Replay?#

Yes, the code generated by Replay is fully customizable. You can modify the code to match your specific coding style and requirements.

What frameworks does Replay support?#

Replay supports popular frameworks like React, Vue.js, and Angular. Support for other frameworks is planned for the future.


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