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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.

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 dedicated AI learning roadmap for Java developers covering Spring AI, LangChain4J, RAG, and Agent development — from fundamentals to production deployment.
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.

Exposing the truth behind viral Codex 5-minute website videos: creators aren't building original sites with AI—they're copying shared prompts or scraping others' work. Learn AI coding tools' real limits.

Exposing the truth behind viral Codex 5-minute website videos: creators aren't building original sites with AI — they're copying shared prompts or scraping others' work.

SlopCodeBench sparks deep reflection on AI code evaluation. From benchmark contamination to pass-rate pitfalls, exploring why current benchmarks fail to measure real code quality.

Carta is a Rust reimplementation of Pandoc with a 9MB binary (1/20th of Pandoc) and up to 45x faster conversion. Supports Markdown, DOCX, LaTeX, and Pandoc JSON filters.

Getting "Something went wrong 1076" from an AI service? This article analyzes common causes including server overload and session issues, with practical troubleshooting steps to restore normal usage.

Perplexity stuck in Computer Mode and can't switch back to normal search? This article analyzes the technical causes including server-side preference stickiness and platform differences, with practical solutions.

Compare Codex and Claude Code AI agent programming tools. Learn AI Agent concepts, tool selection, cost analysis, and GPT account setup in this complete beginner's guide.

A detailed guide to OpenAI Codex's core features, real-world usage, comparison with Claude Code, and DeepSeek configuration tips for developers choosing AI programming tools.

Minecraft Java Edition's recommended RAM jumps to 16GB as the game prepares for a Vulkan graphics API migration. Learn what this means for players and the mod ecosystem.

A detailed guide to OpenAI Codex's core features and setup, comparing it with Claude Code, plus practical tips for configuring DeepSeek and avoiding common pitfalls.