This project provides an AI-driven backend management system scaffold using Java 21 and Vue 3.5, targeting developers seeking a streamlined and intelligent development experience. It aims to simplify complex business logic and deployment through native AI integration and cloud-native principles.

How It Works

The system features a native AI assistant that interacts with users via natural language to perform business operations, reducing the need to navigate complex UIs. It supports integration with domestic large language models like DeepSeek and Zhipu AI. The architecture emphasizes correct business modeling, abstracting and encapsulating complex logic to enable easier implementation of features like multi-role users and multi-department data permissions.

Quick Start & Requirements

• Installation: Deploy via Docker with a single script.
• Prerequisites: A computer with an operating system and Docker installed.
• Setup: Claimed to take 2 seconds to deploy the entire system.
• Resources: Access to domestic mirror repositories for npm, Maven, and Gradle is automatically configured.
• Documentation: Links to community groups (QQ/WeChat) are provided for deployment scripts and tutorials.

Highlighted Details

• Native integration of an AI assistant for business operations and Q&A.
• Zero-configuration deployment using Docker, abstracting away Java, Node.js, and database installations.
• Automated management of database schema changes, including versioning of modifications.
• Automatic generation and configuration of free HTTPS certificates for development, testing, and production environments.

Maintenance & Community

• Active community engagement is encouraged via QQ and WeChat groups for support and resources.
• Associated courses on AI programming, scaffold tutorials, and domain-driven design are mentioned.

Licensing & Compatibility

• The README does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

• Development and testing environment HTTPS certificates are self-signed, requiring manual trust.
• Docker Hub image pulling may require local configuration of the Docker daemon.
• The project actively solicits "Star" support from the community.