111 related articles

Spring AI Alibaba is an enterprise-grade Java AI framework that bridges microservices and LLMs — like JDBC for databases — enabling seamless AI integration with minimal migration cost.

As LLM costs keep falling, how can Java developers seize the AI opportunity? This article explores LangChain4J's core capabilities, supported models and vector databases, and compares LangChain4J vs. Spring AI to help you build local knowledge bases and intelligent customer service systems.

A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.

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.

Pure frontend roles are shrinking fast. Learn how mastering NestJS and LangChain AI agent development can unlock a 20–30% salary boost on your full-stack AI transition path.
MSI Center High-Risk Privilege Escalat…
Security researchers disclose an MSI Center LPE vulnerability allowing standard users to escalate to SYSTEM in seconds. Analysis of root causes, impact, and mitigations for MSI device users.

In-depth comparison of four Java AI frameworks — Spring AI, LangChain4J, DJL, and JBot AI — covering features, use cases, and ecosystem compatibility to guide your selection.

Deep dive into Claude Code + Harness AI engineering methodology, covering tech stack selection, enterprise e-commerce implementation, task decomposition, and Prompt templatization.

Deep dive into Spring AI Alibaba Agent framework covering core architecture, tool calling, RAG integration, multi-agent collaboration, and production deployment for Java developers.

A practical guide for Java developers to build AI apps without switching languages — covering LLM APIs, prompt engineering, RAG, Spring AI, and Langchain4j.

In-depth comparison of Spring AI and LangChain4j covering ecosystem integration, features, usability, RAG, Tools, MCP, and Agents to help Java developers choose the right AI framework.

Hands-on test of Doubao AI for debugging hidden integration bugs: parameter casing mismatches, JSON structure misalignment, and more — paste raw logs and code to get precise root cause analysis and fixes.

A detailed guide to building a Java Web hotel room management system, covering room CRUD, reservation & check-in, billing, data visualization, and more.

In-depth comparison of Spring AI and LangChain4j — two major Java AI frameworks — covering core features, completeness, ecosystem support, and usability to help Java developers make the right choice.

Build an AI travel recommendation assistant with Vue3 and Java SpringBoot. Features intelligent itinerary planning and AI chat, perfect for beginners entering full-stack + AI development.

A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.

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.

How can frontend engineers transition to AI full-stack? This guide covers NestJS + LangChain, TypeScript fundamentals, AI Agent development, local model deployment, and cross-language architecture skills.

A detailed demo of using Cursor AI to build a Vue3 + SpringBoot + MySQL full-stack blog project in 20 minutes, covering UI prototyping, code generation, database setup, and debugging.