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A senior Java developer shares 7 years of IntelliJ IDEA configuration tips: JVM tuning, AI-assisted coding, Testcontainers testing, debugging tricks, and Spring toolchain setup.

Facing the AI wave, how can Java developers transition from traditional CRUD backend work to AI application development? This article breaks down the AI+ national strategy, China's AI catch-up logic, and offers a practical path.

Java developers can build AI apps too! Learn LangChain4j fundamentals including RAG, Agents, Function Calling, and hands-on projects — no Python required.

LangChain4j is the AI application development framework built for Java engineers. Integrate DeepSeek, Qwen, and more into Spring Boot — no Python required.

A deep dive into Spring AI 2.0: provider-agnostic APIs, RAG with vector databases, and how Java developers can build LLM apps using the Spring ecosystem.

TypeScript is Microsoft's JavaScript superset that catches errors at compile time via static type checking. Explore its core benefits, ecosystem, and trade-offs.

A practical guide for Java developers to build AI apps without switching to Python. Learn LangChain4j, RAG, Function Calling, and MCP through an airline customer service project.

A comprehensive guide for Java developers transitioning to AI application development, covering Spring AI, RAG, Function Calling, and a hands-on airline intelligent customer service project.

A systematic 6-week Java backend interview prep roadmap covering JVM internals, Spring Boot, Redis, microservices, plus Spring AI, LangChain4j, and RAG for AI Agent development.

A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
TutorialsA detailed guide on building a stray pet rescue WeChat Mini Program with Spring Boot and UniApp, covering C2C adoption flow, WebSocket chat, and review mechanisms.
TutorialsA dedicated AI learning roadmap for Java developers covering Spring AI, LangChain4J, RAG, and Agent development — from fundamentals to production deployment.
TutorialsAn open-source project implementing Claude Code's core features in Java. Master AI Agent architecture, tool calling, task decomposition, and multi-Agent systems through 12 progressive lessons.
Product ReviewsAIFlowy is an open-source AI app development platform built on Java, rivaling Dify and Coze with visual workflow orchestration, multi-model support, and RAG capabilities for enterprise teams.
TutorialsA systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
Product ReviewsA deep dive into RuoYi-AI, a Java-based enterprise AI development platform supporting multi-vendor LLM integration, RAG knowledge bases, and agent orchestration. 5,200+ Stars on GitHub.
Product ReviewsDeep dive into RuoYi-Vue-Pro: a 37K Star enterprise Java platform built on Spring Boot + MyBatis Plus + Vue, with multi-tenancy, workflows, CRM, ERP, and AI modules.
Product ReviewsDeep dive into RuoYi-Vue-Pro: a Spring Boot + Vue enterprise backend system with 37K Stars, featuring SaaS multi-tenancy, workflow, e-commerce, CRM, ERP, AI, and IoT modules.
Product ReviewsDeep dive into RuoYi-Vue-Pro: an enterprise-grade full-stack platform built on Spring Boot + Vue with 36k+ GitHub Stars, featuring RBAC, workflow, e-commerce, CRM, ERP, AI, and IoT modules.
Product ReviewsDeep dive into RuoYi-Vue-Pro: a 37K Star enterprise Java platform built on Spring Boot + MyBatis Plus, featuring RBAC, SaaS multi-tenancy, workflows, and AI/IoT modules.