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It provides opinionated defaults, built-in observability, and seamless integration with Databricks services.\n\nAppKit simplifies building data applications on Databricks by providing:\n\n- **Plugin architecture**: Modular design with built-in server and analytics plugins\n- **Type safety**: End-to-end TypeScript with automatic query type generation\n- **Production-ready features**: Built-in caching, telemetry, retry logic, and error handling\n- **Developer experience**: Remote hot reload, file-based queries, optimized for AI-assisted development\n- **Databricks native**: Seamless integration with SQL Warehouses, Unity Catalog, and other workspace resources\n\n## Plugins\n\nAppKit's power comes from its plugin system. Each plugin adds a focused capability to your app with minimal configuration.\n\n- **Analytics Plugin** — Query your Lakehouse data directly from your app. Define SQL queries as files, execute them against Databricks SQL Warehouses, and get automatic caching, parameterization, and on-behalf-of user execution out of the box.\n- **Genie Plugin** — Conversational AI interface powered by Databricks AI/BI Genie. Let users ask natural language questions against your data and get answers with automatic chart inference and visualization.\n- **Files Plugin** — Browse, upload, and manage files in Unity Catalog Volumes. Supports multiple volumes, content type validation, and on-behalf-of user access.\n- **Lakebase Plugin** — OLTP database operations against Databricks Lakebase with automatic OAuth token management. Returns a standard `pg.Pool` compatible with Prisma, Drizzle, TypeORM, and other ORMs.\n\n> Missing a plugin? [Open an issue](https://github.com/databricks/appkit/issues/new) and tell us what you need — community input directly shapes the roadmap.\n\n## Getting started\n\nFollow the [Getting Started](https://databricks.github.io/appkit/docs/) guide to get started with AppKit.\n\n🤖 For AI/code assistants, see the [AI-assisted development](https://databricks.github.io/appkit/docs/development/ai-assisted-development) guide.\n\n## Documentation\n\n📖 For full AppKit documentation, visit the [AppKit Documentation](https://databricks.github.io/appkit/) website.\n\n## Contributing\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md) for development setup and contribution guidelines.\n","readmeFilename":"README.md"}