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  1. Multi-Lang-Backend-Showcase Multi-Lang-Backend-Showcase Public

    Java工程师视角,同场景5语言工程实现 + 横向对比(Java/Go/Python/Rust/TS-Node)。工程实践,不是语法教程。

    Python 1

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    Spring AI Alibaba 多 Agent 面试知识学习框架 · Graph 编排 · SSE 流式 · 双搜索引擎

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    Java 架构师级工程能力知识库 · 设计原则&设计模式 · 软件工程定律&理论&原则&模式 · 软件工程"道法术器势"哲学原理 · 章节 + 心智地图 + 原理 + 场景 · 方法论 + 工程化 + 踩坑

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    AgentScope Java 2.0 多 Agent 面试知识学习系统。原 Spring AI Alibaba StateGraph 架构的迁移实现,三种可切换编排模式(Service 层显式 / Orchestrator+Subagent / 混合),支持分级出题-答题-复核-HITL 人工确认-归档全流程,RedisSession 跨接口恢复,REST + SSE 流式接口。

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    插件化通用 LLM 应用平台:以自研 SPI 插件内核统一承载 RAG 问答、CodeAgent、MCP 工具智能体与多 Agent 编排,内置独立 AI 模型网关、OpenTelemetry 全链路可观测与高可用底座。

    Java

  6. AI-Engineering-Knowledge AI-Engineering-Knowledge Public

    复杂生产环境 AI 工程化落地全链路知识库:理论底座归一化 + Python/Java 双栈生产实践(RAG·Agent·MCP·A2A·Agentic-RL·评估),含 67 个可运行代码范式与计算机基础支撑。

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