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 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.
This guide walks through adding embedding support to a Spring AI application by configuring Ollama, creating an EmbeddingService for vector generation and similarity calculations, exposing REST endpoints via EmbeddingController, and providing a simple HTML front‑end for interactive testing, with step‑by‑step instructions and code samples.
This tutorial walks through creating a Spring Boot application that integrates the Spring AI Alibaba framework with a local Ollama model to enable function calling, covering environment setup, Maven dependencies, configuration, core code, testing, best practices, and common troubleshooting steps.
This tutorial walks through installing Ollama, configuring JDK 17, adding Spring AI dependencies, setting up application.yml, implementing a chat controller, creating launch scripts, testing the endpoints, and comparing local Ollama with Alibaba Cloud Bailei, highlighting cost‑free, private, offline AI chat in a Spring Boot project.
