Resources and tutorials for programmers' advanced learning journey. Advanced tracks in Java, Python, and C#. Blog: https://blog.csdn.net/badao_liumang_qizhi
This article walks through the Spring AI Alibaba Agent Framework (v1.1.2.0), explaining the ReAct reasoning‑acting loop, core APIs, configuration, code examples, testing commands, and common troubleshooting steps so developers can quickly create LLM‑driven agents with tool‑calling and memory support.
This article explains the purpose, structure, and usage of Qoder’s .qoder directory, detailing the rules and repowiki sub‑folders, how they feed AI context, example Spring Boot configurations, comparisons with other AI tools, and best‑practice recommendations.
This guide walks you through creating a Claude Code Skill for Spring Boot projects that automates comprehensive, security‑aware code reviews by encapsulating architectural standards, generating structured reports, and integrating with CI/CD pipelines to boost code quality and team productivity.
This article explains how to maintain a single source of truth for coding standards in a .ai/rules directory and automatically synchronize those rules across various AI assistants such as Kiro, GitHub Copilot, Cursor, Windsurf, and Qodo using configurable steering files and a sync script.
This guide explains the core mechanism of Claude Code Skills, compares them with related concepts, shows how to install and use built‑in and community Skills, and provides a step‑by‑step example of generating a project PPT with the pptx Skill.
This guide explains Domain‑Driven Design (DDD) and shows how to structure Spring Boot microservices by organizing code around business domains, detailing strategic and tactical concepts, package layouts, layer responsibilities, cross‑domain communication, comparisons with traditional layering, evolution steps, and common FAQs.
This guide explains how the open‑source CC Switch tool intercepts local AI API calls, converts protocols, and forwards requests so that AI coding assistants like Claude Code can use any free or low‑cost model such as Xfyun Qwen 3.6 without code changes.
This article provides a thorough walkthrough of Spring AI Alibaba Graph, covering its core concepts, API details, environment setup, common pitfalls, and advanced features such as human-in-the-loop support, parallel execution, and checkpointing, enabling Java developers to build sophisticated AI workflows.
The article explains why Spring AI Ollama requests time out after 10 seconds despite server‑side timeout settings, analyzes the independent OkHttp read timeout and other ineffective configurations, and provides a step‑by‑step solution that creates a custom OllamaApi bean with a longer OkHttp read timeout to permanently fix the issue.
This guide explains vectors, text embedding, embedding models, vector databases, cosine similarity, dimensional trade‑offs, and the full RAG workflow, providing concrete code samples, performance calculations, and real‑world use cases such as semantic search, recommendation, and intelligent customer service.
