Support
Support is available via the GitHub Next Discord server and FAQ. The project is in active development with weekly iterations.
Build personal micro apps with natural language, no code required.

GitHub Spark is an AI project builder tool that builds personal micro apps with natural language, no code required. GitHub Spark lets you build personal micro apps using natural language, with a managed runtime that handles hosting, data storage, and AI features.
GitHub Spark is an AI-powered tool for creating and sharing micro apps, called sparks, that are tailored to your exact needs and preferences. It combines a natural language editor, a managed runtime environment, and a progressive web app dashboard to let you build functional apps without writing or deploying code. The tool is designed for developers and non-developers alike who want to personalize their software, from tracking a child's allowance to building a custom news client. It fits among no-code and low-code platforms but stands out by using AI to generate and iterate on app behavior, appearance, and data storage. In practice, you start by describing your app idea in plain language. The editor immediately runs and displays an interactive preview, so you can see and refine your app as you go. You can request multiple variants of a revision to explore different design or behavior options, and every change is automatically saved with a history that lets you revert to any previous version. You can also choose from four AI models (Claude Sonnet 3.5, GPT-4o, o1-preview, and o1-mini) to generate or revise your spark, giving you flexibility in how the AI interprets your requests. The managed runtime handles hosting, so changes are deployed automatically and the app can be installed on desktop, tablet, or mobile via PWA. It includes a themable design system with built-in UI components, a theme editor for colors and spacing, a persistent key-value store with a data editor, and integrated model prompting through GitHub Models. You can add generative AI features to your sparks, such as summarizing text or generating stories, and tweak the prompts without editing code. Sharing is built in: you can share sparks with read-only or read-write permissions, and others can favorite or remix them to adapt to their own preferences. GitHub Spark is currently in public preview, so it is still early with a long list of planned improvements. It is best suited for individuals who want quick, personal utilities and for teams exploring AI-assisted app creation. It is not intended for building complex, production-grade applications, and the reliance on AI generation may require some trial and error. Compared to traditional development or other no-code tools, Spark emphasizes speed and personalization over breadth of features, with the managed runtime removing deployment overhead.
Support is available via the GitHub Next Discord server and FAQ. The project is in active development with weekly iterations.
Integrated with GitHub Models for AI prompting. Uses Claude Sonnet 3.5, GPT-4o, o1-preview, and o1-mini as selectable models.
Natural language editor with interactive previews, revision variants, automatic history, and model selection. Managed runtime provides deployment-free hosting, themable design system, persistent key-value storage with data editor, and integrated model prompting via GitHub Models. Progressive web app dashboard for managing and launching sparks on any device. Sharing with read-only or read-write permissions, and remixing.
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