编程导航 2025 年 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + WxJava + Spring AI 的智能公众号管理系统，整合 ​​WxJava​​ 与 ​​Spring AI​​，实现多公众号的统一管理、​​AI 智能回复和素材管理​​。完整的后端 + React 前端全栈项目，覆盖公众号服务器配置、公众号 AI 自动回复、公众号素材管理、公众号菜单栏配置、本地开发调试微信公众号接口等功能。帮助你快速掌握公众号相关功能开发，让自己的公众号更加智能。

Spring Boot application that allows users to search for traditional Moroccan dishes and retrieve their recipes along with mouthwatering images. Built with Spring Boot, Spring AI, and Hilla

A Dockerized platform for AI-driven Twitter bots. Developed with a Spring Boot backend using Spring AI, Scheduling, MongoDB and a Next.js frontend.

This is a chatbot presented during my talk in Google I/O Extended Manila 2024

AI-powered chat assistant for banking microservices using Spring AI and Model Context Protocol (MCP). Interact with your microservices through natural language chat, view accounts, personal details, and transactions—all in one unified interface.

AI chat template with Spring Boot + Spring AI backend and a modern React frontend

This is a fronted for a productivity that is powered by a spring-boot backend using spring AI for managing and handling user tasks

This is a frontend which be acting as an interface between the customer and the JoinAI for Beta testing . The Backend is a RAG system which is built by Java Spring-AI and Vector databases

An offline AI chat application

This project is a sample application showcasing a Java Spring AI backend alongside an Angular frontend. It demonstrates the integration of Spring AI services (such as chat and book prompts) with an Angular UI.

😱 MMM manages memes (UI)

This project is a fullstack AI chat application that integrates a backend powered by Spring AI with the Ollama model and a frontend developed using the Hilla framework. Both the frontend and backend are hosted on the same server, providing a unified and seamless user experience.

Show case project with spring ai, vaadin and openfeign having RAG extensions.

Chat Agent UI designed for development and testing of GenAI applications using Spring AI, packaged as webjar

🤖 Manage multiple WeChat public accounts effortlessly with AI-driven responses, content management, and menu configuration using this intelligent system.

🛠️ Build a flexible integration layer for large language models using Strategy, Abstract Factory, and Adapter patterns in TypeScript for seamless runtime switching.