326 related articles

AI is reshaping the career landscape of Java development: junior CRUD roles are the first to go, but demand rises for engineers who understand business, architecture, and can command AI. A deep dive into the transformation path for Java developers.

Want to become an AI Agent engineer? This article breaks down a 4-week roadmap: from core agent architecture and ReAct, to multi-agent collaboration and real projects.

A breakdown of the 6 best high-paying AI career paths for beginners: LLM application development, AI agents, computer vision, AI infrastructure, AIGC, and embodied AI—with salary ranges, core skills, and who they suit.

DeepSeek founder Liang Wenfeng systematically explains: a KPI-free culture, 10-month break-even pricing, long-term open-source strategy, continual learning to break the AGI bottleneck, and his prediction of a mature domestic chip ecosystem within a year.

In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.

Java, Python, Go, or a niche language? This article rationally analyzes programming language selection across three dimensions — probability, difficulty, and growth potential — to help you escape language-choice anxiety.

How can Java engineers transition to AI Architect? This article breaks down three core capability layers — AI app development, production RAG, and AI Agent orchestration — using Spring AI Alibaba and LangChain4j to turn your Java foundation into a competitive edge.

Discover why beginners study SpringBoot for six months without getting started. Learn the 'focus on the big picture' methodology and evolve a simple Java project into a runnable enterprise-level SpringBoot application step by step.

Discover why beginners study SpringBoot for six months without getting started. Learn the 'focus on the big' methodology, and evolve a simple Java project step by step into a runnable enterprise application with IDEA.

A systematic roadmap from LangChain and LangGraph to multi-agent development, covering RAG, Tool Calling, MCP, and more, helping developers break into AI app development.

Codex is OpenAI's AI coding agent that autonomously reads code, fixes bugs, and runs tests — far beyond ChatGPT's code generation. Learn the key differences.

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

A deep dive into ByteDance's Coze platform: tool categories, positioning vs. Dify, skill store, multi-agent collaboration, and workflow building — your AI Agent selection guide.

OpenAI integrates Codex into ChatGPT. Learn what AI coding agents can do, how Codex compares to Claude Code and Cursor, and how to get started today.

A practical guide to Claude Code covering installation, Chinese LLM switching, project analysis, key commands, and conversational Git workflow automation for developers.

A complete introduction to ROS2 for beginners: what ROS is, how ROS1 and ROS2 differ, and how to choose the right version to kickstart your robot development journey.

A beginner's guide to ROS2: what ROS really is (an SDK, not a traditional OS), how ROS1 and ROS2 differ, and how to choose the right version to start robot development.

Learn ROS2 from scratch: understand how ROS differs from traditional OS, explore ROS1 vs ROS2 differences, and master version selection principles for robot development.

A complete guide to Java AI development: Spring AI, LangChain4j, Spring AI Alibaba, and AgentScope4j — framework comparisons, selection tips, and a clear learning path.

Traditional Java roles are shrinking while AI demand surges. Learn the three paths into AI for developers, and why RAG knowledge bases are the highest-ROI entry point for Java engineers.