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 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.
The article details a comprehensive multi‑account unified login design—including phone‑number registration, optional password login, third‑party integrations, a split user‑basic and user‑auth data model, its pros and cons, and a one‑click mobile number authentication flow—offering practical insights from three years of production use.
The article explains how excessive if‑else branching in a middle‑platform backend leads to maintenance nightmares, and demonstrates how a workflow engine combined with a plugin extension mechanism provides clean code isolation, flexible business extensions, and reliable execution flow.
A Beijing dumpling restaurant has open‑sourced an AI Skill that lets assistants query its location, menu, Wi‑Fi password and more via the MCP protocol, and the article explains the skill’s capabilities, technical implementation, and step‑by‑step usage instructions.
The author shares a two‑year experience with the Deepin Linux distribution, highlighting its polished graphical desktop, extensive development tool support, seamless communication apps, ability to run Android apps via xDroid, and numerous advantages such as efficient package management, command‑line power, low resource usage, and freedom compared to Windows.
This guide shows how to use Git WorkTree to let multiple AI assistants work on separate features of a takeout app simultaneously, avoiding file conflicts and simplifying merging by creating parallel work directories, with step‑by‑step commands and tips for conflict resolution.
This article introduces RTK, a high‑performance CLI proxy that filters and compresses command output before it reaches Claude Code's 200k LLM context, reducing token consumption by 60‑90% and improving inference speed, with step‑by‑step installation and usage instructions.
A senior architect introduced a high‑concurrency monitoring feature that used ConcurrentHashMap, but missing equals/hashCode and non‑atomic updates caused massive memory leaks and race conditions, leading to a post‑mortem that highlights proper key implementation, atomic map operations, and cautious synchronization.
The Claude Code source leak exposed over 500,000 lines of AI‑coding tool code, revealing its npm publishing mishap, the layered architecture built on React Ink, the ReAct‑style agent loop, sophisticated tool orchestration, multi‑tier memory management, context compression, security checks, feature flags, and even anti‑distillation defenses.
This article introduces CC GUI, a free IntelliJ IDEA plugin that visualizes Claude Code and Codex AI assistants, outlines its key features, step‑by‑step installation, model comparison, and demonstrates a real‑world Spring Boot upgrade workflow, highlighting how the plugin streamlines backend development through AI‑driven automation.
