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January 17, 20267 min readReplay: From Screencast

Replay: From Screencast to SvelteKit App in Minutes

R
Replay Team
Developer Advocates

TL;DR: Replay leverages behavior-driven reconstruction to generate a fully functional SvelteKit application directly from a screen recording, saving developers significant time and effort.

From Pixel Chaos to Polished Code: Replay Unlocks Video-to-Code Magic#

The promise of AI-powered code generation is finally being realized, but many solutions fall short. Screenshot-to-code tools often produce brittle, visually-driven results that lack true functionality. They see the what, but miss the why. What if you could capture a user's journey through an application and have AI understand the underlying intent, turning that video into a working codebase?

Enter Replay. Replay analyzes video, not just static images, to reconstruct working UI. It's a game-changer for rapid prototyping, UI/UX replication, and even reverse engineering existing applications. We'll walk through how to create a SvelteKit app from a simple screen recording using Replay, highlighting the key advantages over traditional methods.

The Problem with Screenshots: A Static View of a Dynamic World#

Screenshot-to-code tools offer a tempting shortcut, but their limitations quickly become apparent:

  • Lack of Context: Screenshots capture only a single frame, missing crucial information about user interactions, state changes, and application flow.
  • Brittle Code: The generated code is often tightly coupled to the visual appearance, making it difficult to modify or extend.
  • Limited Functionality: Screenshots can't convey the underlying logic or data dependencies required for a working application.

Consider this scenario: a user clicks a button that triggers an API call and updates the UI. A screenshot-to-code tool would only see the final state, missing the crucial button click and API interaction.

Replay: Behavior-Driven Reconstruction for Dynamic Applications#

Replay takes a different approach. By analyzing video, it understands user behavior and intent, enabling it to reconstruct not just the UI, but also the underlying logic and data flow. This "Behavior-Driven Reconstruction" is the key to generating truly functional applications.

Here's how Replay differs from other code generation tools:

FeatureScreenshot-to-CodeReplay
Input TypeScreenshotsVideo
Behavior Analysis
Multi-Page SupportLimited
Functional Code GenerationLimited
Understanding User Intent
Supabase IntegrationLimited
Style InjectionLimited

Building a SvelteKit App from a Screencast: A Step-by-Step Guide#

Let's walk through the process of creating a SvelteKit application from a screen recording using Replay. For this example, we'll record a simple to-do list application being used.

Step 1: Recording the User Flow#

The first step is to record a video of the desired user flow. This should capture all the key interactions and state changes within the application.

💡 Pro Tip: Speak clearly while recording, describing the actions you're taking. This helps Replay better understand your intent.

Step 2: Uploading to Replay#

Next, upload the video to Replay. Replay's AI engine will analyze the video, identify UI elements, and infer the underlying logic.

Step 3: Code Generation and Review#

Replay will generate a SvelteKit project based on the video analysis. You'll be able to review the generated code and make any necessary adjustments.

Here's an example of the kind of Svelte code Replay might generate for a simple to-do list component:

svelte
<script> let todos = []; let newTodo = ''; const addTodo = () => { if (newTodo) { todos = [...todos, { text: newTodo, completed: false }]; newTodo = ''; } }; const toggleComplete = (index) => { todos = todos.map((todo, i) => i === index ? { ...todo, completed: !todo.completed } : todo ); }; const deleteTodo = (index) => { todos = todos.filter((_, i) => i !== index); }; </script> <input type="text" bind:value={newTodo} placeholder="Add a todo" on:keydown={(e) => e.key === 'Enter' && addTodo()} /> <button on:click={addTodo}>Add</button> <ul> {#each todos as todo, index} <li> <input type="checkbox" checked={todo.completed} on:change={() => toggleComplete(index)} /> <span class:completed={todo.completed}>{todo.text}</span> <button on:click={() => deleteTodo(index)}>Delete</button> </li> {/each} </ul> <style> .completed { text-decoration: line-through; color: gray; } </style>

This code snippet demonstrates how Replay understands the user's intent to add, complete, and delete to-do items, translating that into working Svelte code.

Step 4: Customization and Enhancement#

While Replay generates a functional application, you'll likely want to customize it further. SvelteKit's flexible architecture makes this easy.

For example, you might want to integrate with a backend API to persist the to-do list data. Here's how you could modify the Svelte component to use

text
fetch
to interact with an API:

svelte
<script> let todos = []; let newTodo = ''; const loadTodos = async () => { const response = await fetch('/api/todos'); todos = await response.json(); }; const addTodo = async () => { if (newTodo) { const response = await fetch('/api/todos', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ text: newTodo, completed: false }), }); const newTodoItem = await response.json(); todos = [...todos, newTodoItem]; newTodo = ''; } }; // ... (rest of the component logic) onMount(loadTodos); </script>

📝 Note: This example assumes you have a

text
/api/todos
endpoint set up to handle the API requests.

Replay's Key Features: Beyond Basic Code Generation#

Replay offers a range of features that set it apart from other code generation tools:

  • Multi-Page Generation: Replay can analyze videos that span multiple pages or routes, generating a complete application with navigation and data flow.
  • Supabase Integration: Seamlessly integrate your generated application with Supabase for backend functionality, including authentication, data storage, and real-time updates.
  • Style Injection: Replay can infer and inject CSS styles based on the visual appearance of the application in the video, ensuring a consistent and polished look.
  • Product Flow Maps: Replay automatically generates visual diagrams of the user flow, providing a clear overview of the application's structure and behavior.

The Benefits of Behavior-Driven Code Generation#

Using Replay offers several key advantages:

  • Rapid Prototyping: Quickly create working prototypes from screen recordings, allowing you to iterate and refine your ideas faster.
  • UI/UX Replication: Easily replicate existing UIs or user flows, saving time and effort on manual coding.
  • Reverse Engineering: Analyze videos of existing applications to understand their functionality and generate code for similar features.
  • Improved Collaboration: Share screen recordings and generated code with your team to facilitate communication and collaboration.

⚠️ Warning: Replay is a powerful tool, but it's not a replacement for skilled developers. The generated code may require further refinement and customization to meet specific project requirements.

Frequently Asked Questions#

Is Replay free to use?#

Replay offers a free tier with limited usage. Paid plans are available for higher usage and access to advanced features. Check the pricing page for the most up-to-date information.

How is Replay different from v0.dev?#

While both tools aim to generate code, Replay focuses on understanding behavior from video input, while v0.dev primarily uses text prompts and component libraries. Replay's video analysis enables more accurate and functional code generation, especially for complex user flows.

What frameworks does Replay support?#

Currently, Replay supports SvelteKit. Support for React, Vue, and other popular frameworks is planned for future releases.

What kind of videos work best with Replay?#

Clear, well-lit videos with minimal distractions work best. Speaking clearly while recording also helps Replay understand your intent.

Can Replay generate backend code?#

Replay primarily focuses on generating frontend code. However, it can infer API interactions and generate code for making API calls. Integration with backend platforms like Supabase allows for seamless backend integration.


Ready to try behavior-driven code generation? Get started with Replay - transform any video into working code in seconds.

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