Focus on Java-related technologies: SSM, Spring ecosystem, microservices, MySQL, MyCat, clustering, distributed systems, middleware, Linux, networking, multithreading. Occasionally cover DevOps tools like Jenkins, Nexus, Docker, and ELK. Also share technical insights from time to time, committed to Java full-stack development!
Quarkus 3.37, released on June 24, 2026, introduces experimental JLink support, a full Hibernate ORM 7.4 upgrade, a reflection‑free Jackson serializer, AI‑native extensions, and numerous bug fixes, delivering up to 50‑fold faster startup, 70% lower memory usage, and measurable performance gains for Java cloud‑native applications.
The article introduces the Exercises‑Dataset, a 1,324‑exercise structured collection with multilingual descriptions and GIFs, and walks through its setup.html tool that auto‑generates SQL, provides API client code in seven languages, and creates LLM prompts, while noting media licensing considerations.
The article benchmarks three domestic multimodal large models—Step 3.7 Flash, Qwen 3.6‑flash, and MiniMax M3—across two production‑oriented scenarios, measuring quality, latency, and token cost, and concludes that Step 3.7 Flash consistently offers the best speed‑cost trade‑off while maintaining reliable output.
This article compares LangChain4j and LangGraph4j, explaining their roles as an AI capability‑access layer and a workflow‑orchestration layer respectively, detailing core features, design philosophies, code examples, strengths, limitations, version updates, and practical scenarios to help Java developers decide which tool fits their needs.
The article explains why modern Java projects must treat Maven dependency management as essential, shows how transitive vulnerable dependencies and unused "zombie" libraries bloat builds, and provides concrete Maven‑dependency‑plugin commands to visualize, analyze, and clean the dependency tree, improving security and build speed.
The article compares two popular code‑knowledge‑graph projects, Understand Anything and CodeGraph, explaining why such tools are needed in the AI‑coding era, detailing their installation, core architecture, supported features, ideal use cases, and offering a practical guide on which one to adopt first.
This article lists ten common IntelliJ IDEA pitfalls—from high CPU usage and Lombok errors to Maven download slowness and Git commit issues—and provides step‑by‑step configurations, memory tweaks, plugin settings, and .gitignore rules to make the IDE run smoothly for Java developers.
MyBatisPlus Pro extends MyBatisPlus by providing a BaseController that auto‑generates CRUD, pagination, and conditional queries, dramatically cutting repetitive code; the article walks through its architecture, quick‑start steps, deep technical mechanisms, pros and cons, and practical usage guidelines.
MarkItDown, a Microsoft‑maintained Python tool that converts PDFs, Word, PPT, audio and video into structured Markdown, has surged past 104 000 stars and repeatedly topped GitHub’s weekly trending list by addressing RAG‑related document‑conversion pain points, offering a universal MCP interface for AI agents, and enjoying strong community adoption.
claude‑tap is an open‑source local proxy and trace viewer that intercepts AI coding agent API calls, records full request and response details, shows token usage, provides diff and live views, and exports self‑contained HTML reports, supporting nine major AI coding clients with a single command install.
