Dedicated to Java tech sharing and dissecting top open-source projects. Topics include Spring Boot, Spring Cloud, Docker, Kubernetes and more. Author’s GitHub project “mall” has 50K+ stars.
This guide shows how to bypass subscription limits and high costs of Claude Code and Codex by configuring them to use domestic large models like DeepSeek via the free, open‑source CC Switch tool, with step‑by‑step installation, API key setup, and model switching.
The article shares a step‑by‑step guide for safely using AI coding assistants like Claude Opus, covering Git preparation, narrow spec writing, rule and skill files, model cost management, verification through tests and diffs, context handling, multi‑agent coordination, and strict permission controls to avoid costly mistakes.
The article explains how MybatisPlus Pro extends MybatisPlus to eliminate repetitive Service and Controller code, provides a ready‑to‑use BaseController, automatic QueryWrapper generation, and deepens the understanding of its dynamic proxy, interceptor chain and SQL injection mechanisms, while also outlining its strengths, limitations, suitable scenarios and common pitfalls.
The article walks through practical AI‑coding productivity tricks—from picking the right model and trimming unnecessary output, to leveraging parallel agents, shortcut keys, slash commands, MCP integration, automation loops, reusable component libraries, and time‑management methods—showing how developers can dramatically speed up their workflow.
Nacos 3.2 expands beyond a microservice registry to become a unified AI asset governance platform, introducing AI Registry, MCP Registry, a three‑layer Skill security sandbox, Copilot assistance, and A2A protocol integration, enabling seamless discovery, versioning, and secure execution of AI assets.
CodeGraph, an open‑source knowledge‑graph tool with over 28 000 stars, lets Claude Code query codebases without file scans, cutting token usage by 57%, accelerating completion speed by 46%, and reducing tool calls by 71% as demonstrated on multiple real‑world repositories.
This article walks through the superpowers plugin for Claude Code—its 200 k star popularity, built‑in 20 AI‑assisted workflow skills, installation via npm, step‑by‑step usage to build a full‑stack Markdown editor, and key considerations such as sub‑agent isolation and test‑driven development.
The article explains how integrating Arthas with the Model Context Protocol (MCP) enables AI-driven, natural‑language troubleshooting of Java‑based online incidents, offering step‑by‑step diagnostics, concrete case studies, and a balanced view of its advantages and current limitations.
The article walks through installing and configuring the Claude Code extension for VSCode, explains how it adds context‑aware code understanding, visual chat, multiple editing modes and effort levels, shows model switching via CC Switch, and compares its rich features to the limited CLI‑only Anthropic plugin for IntelliJ IDEA.
This article introduces the open‑source "claude-code-best-practice" repository, which aggregates core concepts, popular features, development workflows, and 87 concrete tips for Claude Code, helping both newcomers and experienced users fully leverage the AI coding assistant.
