GitHub Spark AI Howto

GitHub Spark is an AI-powered tool that enables users to create and share functional micro apps ('sparks') using natural language, without writing or deploying code, while providing real-time previews and managed runtime environments.
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How to Use GitHub Spark AI

Sign up for Technical Preview: Visit gh.io/spark-signup to join the waitlist for GitHub Spark's technical preview access
Start with Initial Prompt: Once you have access, start by describing your app idea in natural language (e.g., 'An app to track my kid's allowance'). The system will show you a live preview within seconds.
Select AI Model: Choose from available AI models: Claude Sonnet 3.5, GPT-4o, o1-preview, or o1-mini to generate your app
Refine through Iterations: Use the interactive preview to refine your app by adding more details or requesting changes through natural language prompts
Explore Variants: Request variants to see 3-6 different versions of your app with subtle variations to help explore different design possibilities
Customize Theme: Use the theme editor to modify accent colors, border radius, spacing, and light/dark mode preferences
Manage Data: Use the built-in data editor to view and modify any data your app stores in the key-value storage system
Adjust AI Prompts: If your app uses AI features, use the prompt editor to view and customize the AI prompts without editing code
Deploy and Share: Your app is automatically deployed and can be accessed via desktop or mobile devices. Share with others by giving them read-only or read-write permissions
Track Changes: Use the automatic history feature to view all revisions and restore previous versions if needed

GitHub Spark AI FAQs

GitHub Spark is an AI-powered tool for creating and sharing micro apps ('sparks') without needing to write or deploy code. It allows users to create personalized applications that can be tailored to their exact needs and preferences, and are directly usable from desktop and mobile devices.

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