All in AI | Java Architect to AI Builder | GPT / RAG / Agent / MCP / Function Calling
Code Quality Enthusiast | Continuously Evolving | 354 Public Repos
Past Present Future
----------------------------- ----------------------------- -----------------------------
Java / Spring Boot Python / AI Agent / MCP / RAG
Redis / RocketMQ GPT / LLM Multi-Agent Systems
Distributed Transactions LangChain / LlamaIndex AI Product Architecture
Sa-Token Ecosystem LangGraph / RAG Function Calling
Architecture / Clean Code Learn by Building Evolve with Purpose
| Project | Stars | Description |
|---|---|---|
| GPT_teacher-3.37M-cn | 208 | 让初学者45分钟跑通中文GPT,看清核心流程+训练+推理演示 |
| sa-token | — | Sa-Token 生态全家桶(gateway / sso / multi-tenant / apikey) |
| spring-boot-cookbook | 32 | 快速启动 Spring Boot 项目的脚手架 |
| finagent | — | AI 金融智能体 / FinGPT 探索 |
| llamaindex-tutorials | — | LlamaIndex 官方教程全笔记 + 实战 |
| langgraph-tutorials | — | LangGraph 状态机 Agent 实战 |
| wiki-rag | — | 私有知识库 RAG 落地实践 |
| multi-agent-customer-service | — | 多 Agent 客服系统架构设计 |
| function-call-vs-mcp-skill | — | Function Calling vs MCP 对比实战 |
Code is written for humans to read, machines just happen to run it.


