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A practical guide for Java developers to build AI apps without switching to Python. Learn LangChain4j, RAG, Function Calling, and MCP through an airline customer service project.

How to learn LLMs from scratch? This guide covers personalized learning paths for 3 types of learners, hardware tips (16GB RAM is enough), Python prep, and cloud GPU options.

How can ordinary programmers break into AI? This guide breaks down the gap between algorithm engineers and AI app developers, covering Agent development, model fine-tuning, salary trends, and the three hidden risks behind the current opportunity window.

Deep dive into Claude Code + Harness AI engineering methodology, covering tech stack selection, enterprise e-commerce implementation, task decomposition, and Prompt templatization.

A practical guide for Java developers to build AI apps without switching languages — covering LLM APIs, prompt engineering, RAG, Spring AI, and Langchain4j.

Complete ROS2 beginner's guide covering core concepts, version selection, Ubuntu VM environment setup, and robotics developer career prospects and salaries.

A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.

A comprehensive guide for Java developers transitioning to AI application development, covering Spring AI, RAG, Function Calling, and a hands-on airline intelligent customer service project.

A comprehensive guide to AI Agent architecture covering ReAct paradigm, multi-agent collaboration, RAG integration, and the planning-memory-tools framework, with a complete learning path from concepts to production deployment.

A complete tutorial on building a RAG medical Q&A system with LangChain4j, covering Ollama local deployment, Redis vector DB, document vectorization, and Cursor AI-assisted development.

Deep dive into Harness AI Engineering Programming methodology, covering SDD, Skill development patterns, and core practices for enterprise-level AI-assisted development.

Deep dive into Cursor's four core features, six-dimension comparison with traditional IDEs, and analysis of target users. Learn how this AI-native code editor redefines programming through natural language interaction.

In-depth review of Cursor's four core features: AI-native design, smart code generation, context awareness, and multi-model support, with a six-dimension comparison against traditional IDEs.

AI is reshaping IT careers into a five-tier pyramid from tool usage to self-developed models. Learn where you fit and how to maximize your career potential.
TutorialsDeep dive into how AI coding Skills work: from Function Call to MCP to Skills as sub-agents with on-demand loading, implemented via Spring AI Alibaba.
TutorialsDeep dive into how AI coding Skills work technically, from Function Call to MCP to Skills as sub-agents with on-demand loading, implemented via Spring AI Alibaba.
TutorialsDeep dive into a full-stack course using Cursor AI and Figma AI to auto-generate a Xiaomi Store clone with Spring Boot, Vue3, and UniApp for web and WeChat Mini Programs.
TutorialsDeep dive into a full-stack course using Cursor AI and Figma AI to auto-generate a Xiaomi Store clone with Spring Boot, Vue3, and UniApp for Web and WeChat Mini Program.
TutorialsA detailed guide to building a house rental WeChat Mini Program with UniApp and SpringBoot, covering three user roles, viewing appointment workflows, and full-stack architecture best practices.
TutorialsDeep analysis of interview trends for Java developers transitioning to AI engineers, covering LLM integration, RAG, Spring AI framework practice, with a complete learning roadmap.