Author

Java Backend Technology

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!

1.4k

Articles

Likes

4.5k

Views

Comments

Latest from Java Backend Technology

100 recent articles max

Java Backend Technology

Jul 3, 2026 · Artificial Intelligence

Which Chinese Multimodal LLM Is the Most Efficient in Real‑World Use?

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.

MiniMax M3Qwen 3.6Step 3.7 Flash

0 likes · 11 min read

Which Chinese Multimodal LLM Is the Most Efficient in Real‑World Use?

Java Backend Technology

Jul 1, 2026 · Artificial Intelligence

LangChain4j vs LangGraph4j: Which Java AI Framework Should You Choose?

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.

AI AgentsJavaLangChain4j

0 likes · 20 min read

LangChain4j vs LangGraph4j: Which Java AI Framework Should You Choose?

Java Backend Technology

Jun 29, 2026 · Backend Development

When AI Generates Code, How to Eliminate Zombie Dependencies with Maven

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.

CI/CDJavaSecurity

0 likes · 9 min read

When AI Generates Code, How to Eliminate Zombie Dependencies with Maven

Java Backend Technology

Jun 12, 2026 · Artificial Intelligence

Understanding Code Knowledge Graphs: How to Choose Between Understand Anything and CodeGraph

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.

AI coding toolsCodeGraphLLM

0 likes · 17 min read

Understanding Code Knowledge Graphs: How to Choose Between Understand Anything and CodeGraph

Java Backend Technology

Jun 9, 2026 · Fundamentals

Turn a Laggy IntelliJ IDEA into a Fast IDE with Simple Tweaks

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.

GitIDEIntelliJ IDEA

0 likes · 24 min read

Turn a Laggy IntelliJ IDEA into a Fast IDE with Simple Tweaks

Java Backend Technology

Jun 4, 2026 · Backend Development

Boost CRUD Development Efficiency with MyBatisPlus Pro

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.

CRUDJavaMybatisPlus

0 likes · 21 min read

Boost CRUD Development Efficiency with MyBatisPlus Pro

Java Backend Technology

Jun 3, 2026 · Artificial Intelligence

Why MarkItDown’s 104K Stars Keep It at the Top of GitHub Trending

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.

AI agentMCPMarkItDown

0 likes · 10 min read

Why MarkItDown’s 104K Stars Keep It at the Top of GitHub Trending

Java Backend Technology

Jun 2, 2026 · Artificial Intelligence

What Every AI Coding Agent Request Does – Inside the Open‑Source claude‑tap Tool

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.

AI codingAPI tracingDebugging

0 likes · 8 min read

What Every AI Coding Agent Request Does – Inside the Open‑Source claude‑tap Tool

Java Backend Technology

Jun 1, 2026 · Fundamentals

Why Is fastutil Up to 10× Faster Than Java’s Standard Collections?

fastutil dramatically outperforms Java’s standard collections by eliminating boxing, cutting memory usage and GC pressure, offering primitive‑specific maps and lists, providing 64‑bit indexed BigArrays for massive data, and delivering faster I/O utilities, all while remaining API‑compatible.

BigArraysFastUtilJava collections

0 likes · 6 min read

Why Is fastutil Up to 10× Faster Than Java’s Standard Collections?

Java Backend Technology

May 29, 2026 · Artificial Intelligence

Claude Opus 4.8 Achieves Two Historic Firsts with Zero‑Error Metrics

Claude Opus 4.8, released just 43 days after 4.7, outperforms its predecessor and GPT‑5.5 across multiple benchmarks, scores a perfect 0 % false‑reporting and lazy‑rate, halves token usage, introduces five effort levels and ultra‑code parallel agents, and positions Anthropic as the world’s most valuable AI startup.

AI benchmarksClaudeDynamic Workflows

0 likes · 11 min read

Claude Opus 4.8 Achieves Two Historic Firsts with Zero‑Error Metrics