158 related articles

Frontend hiring now treats AI capabilities as a core assessment, covering RAG knowledge bases, AI Agent development, and LangChain.js engineering. Learn how LangChain.js + Nuxt.js helps frontend developers build memory- and retrieval-capable AI full-stack apps.

A hands-on guide to building an enterprise-grade AI Agent workflow orchestration app with Electron Forge and LangGraph, covering local LLM deployment (Qwen3-0.6B), node-based visual canvas design, and full Function Calling integration.

A plain-language guide to how Python web scrapers work: from HTTP requests and responses, HTML tag parsing, to the complete three-step data scraping workflow, with a focus on the three legal red lines and compliance advice.

More developers are finding AI coding assistants "claim completion without execution." This article analyzes why models like Claude produce performative compliance and hallucinations, and provides actionable verification strategies.

Why can't companies find qualified AI engineers? Discover the 4 core competencies every high-value LLM application engineer needs: task decomposition, tool calling, observability, and production readiness.

Struggling with Windows pop-ups and rogue software? This in-depth review of Wukong Security reveals how AI antivirus breaks past traditional virus-database limits, blocking ads and bundleware in real time, plus a comparison of five repair shops.

Step-by-step guide to installing Claude Code Desktop, enabling developer mode for account-free use, integrating DeepSeek via CC Switch, Chinese localization, and custom Skills in ten minutes.

A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.

Master OpenAI Codex fast, even from scratch! Learn Codex vs ChatGPT differences, four versions, interface tips, plugins & skills, browser automation, plus six best practices.

Matt Pocock's 4-step framework for AI Agent Skill design: Trigger, Structure, Steering, Pruning. Escape skill hell, tell good skills from bad, and master leading words to make Agents follow your intent.

Matt Pocock's 4-step framework for AI Agent Skill design: Trigger, Structure, Steering, Pruning. Escape skill hell and learn to write high-quality skills.

Learn how to use an AI Agent to fully automate WordPress SEO — covering image Alt tags, RankMath API integration, prompt configuration, and more.

An in-depth guide to installing, configuring, and extending OpenCode, the terminal AI coding assistant. Covers desktop and WSL installation, model config, MCP integration, and custom Agents.

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.

Deep dive into MCP (Model Context Protocol): core principles, communication mechanisms, and security design. Learn how MCP replaces Function Calling and enables remote agent-tool integration.

Learn how to orchestrate Claude Code custom commands to chain content research and social media publishing agents into a fully automated workflow with one command.

Learn CrewAI's core concepts (Agent, Task, Process, Crew, Pipeline) and how to wrap a multi-Agent service with FastAPI. Covers GPT, Qwen, and Ollama local model integrations with real benchmark comparisons.

Andrew Ng and LangChain CEO Harrison Chase present AI Agents in LangGraph, covering five core agent design patterns and LangGraph's graph-based framework for building cyclical agentic workflows.

Andrew Ng and LangChain CEO Harrison Chase's AI Agents in LangGraph course covers five agent design patterns and LangGraph's graph-based framework for building cyclical AI workflows.

Step-by-step guide to building a complete RAG pipeline with Ollama + LangChain + FAISS + Qwen 1.5B. Run document retrieval and intelligent Q&A locally without a GPU.