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A Juejin AI tutorial implements the same “你是谁？” prompt with qwen-plus through DashScope’s official Java SDK, direct HTTP, Spring AI with Spring AI Alibaba, and LangChain4j. The author recommends using the official SDK to verify credentials, model configuration, and connectivity before moving to Spring AI for business development, while presenting HTTP as a protocol-inspection option and LangChain4j as the shortest but community-dependent implementation.
掘金 · 人工智能 · 🔥 3A Juejin article presents a beginner-oriented introduction to AI application development for backend developers familiar with Spring Boot. It explains architecture, RAG, Tool Calling, MCP, Spring AI Advisors, memory, vector retrieval and Agent/ReAct concepts, alongside runnable code and five implementation pitfalls. The article also compares Alibaba Cloud Bailian and DashScope and discusses how models can be accessed through cloud services, self-hosted deployments, platforms, clients and code.
掘金 · 人工智能 · 🔥 0The report presents a Kiro-based migration engine built from versioned skill files, a mechanical PHP model-discovery scanner, an eight-phase workflow, and explicit approval gates. The original PHP application serves as the specification, while a parity harness compares request and response behavior to determine whether the Java port is correct. The same skill files can also be used with AWS Transform for larger-scale migration and modernization runs.
AWS Machine Learning Blog · 🔥 0Share my Spring Boot experienceAsk about Spring Boot
AI Coding Makers•user2317•editedExperienceFirst, the result: over the course of four months, on and off, I built a WeChat Mini Program called “随了么小管家” for keeping track of gift-giving and reciprocity. It currently has about 40 pages, with roughly 29,000 lines of frontend code and 14,000 lines of backend code, 85 commits, and a version number that has reached 1.1.9. The tech stack is pretty ordinary: uni-app + Vue 3 + Pinia on the fronten…