279 related articles

In-depth comparison of OpenAI Codex vs Claude Code AI coding agents, covering Chinese understanding, requirements analysis, and full-stack capabilities to help you choose the right tool.

Complete guide to setting up the Claude Code runtime environment, covering NVM installation, Node.js version management, NPM usage, and mirror source configuration.

A detailed guide to Cursor AI's model selection (Auto/Max Mode/Compose 2.5 Fast), Context panel metrics, and token billing mechanisms to help developers use Cursor efficiently.

Learn how Cursor AI built a weather data visualization & prediction system in 44 seconds, covering frontend-backend architecture, prompt engineering, and tips for graduation projects.

Complete guide to installing and configuring Claude Code, covering Node.js setup, Git Bash configuration, npm installation, network proxy settings, and API key authorization for AI-powered coding.

Complete guide to MCP protocol in Claude Code: adding servers, configuring three scope levels, and optimizing context windows to efficiently connect external tools and data sources.

In-depth comparison of OpenAI Codex and Anthropic Claude Code — two top-tier AI coding agents. Explore their capabilities, ideal users, and practical tips to get started.

Step-by-step guide to installing Claude Code in China, covering Node.js setup, Git config, network proxy settings, and API key options to overcome common issues.
Complete Guide to Cursor AI's Seven Wo…
In-depth guide to Cursor AI's seven work modes: Plan, Debug, Multitask, Ask, Image, Skills, and MCP Servers, with practical demos and scenario selection tips.

In-depth review of Cursor's four core features: AI-native design, smart code generation, context awareness, and multi-model support, with a six-dimension comparison against traditional IDEs.

Deep dive into Claude Code's Skill mechanism: progressive loading principles, differences from CLAUDE.md/MCP, four creation methods, and advanced features.

Comprehensive comparison of 7 mainstream AI coding tools in 2026: Cloud Code, Cursor, Codex, OpenCode vs Trae, Tongyi Lingma, Wenxin Quick Code across features, strengths, and use cases.

Explore 5 key differences between Claude Code and traditional AI chatbots like ChatGPT, covering interaction, context, execution, memory, and tool integration.

Learn how to configure MCP servers for OpenAI Codex. Step-by-step TOML setup with Context7, hands-on verification, and best practices for extending Codex capabilities.

A detailed look at the Claude Code Chinese learning resource on Feishu Docs, covering AI agent learning, memory systems, and task decomposition with a systematic path from beginner to advanced.

Deep analysis of Anthropic's real-world Claude Code practices: 16 parallel Agents building a C compiler, three-role architecture for full-stack apps, smart approvals solving 93% blind approval issues, and six official best practices.

Deep breakdown of 4 monetization paths for Claude Code: AI-accelerated freelancing, shipping tools at scale, selling methodology, and content creation. Each path is validated with real examples.

Deep dive into Claude Code's Hooks and Skills mechanisms. Learn to build safe, reliable AI programming workflows with a three-layer architecture (Cloud.md + Hooks + Skills).

Andrew Ng partners with Google on a Gemini CLI course covering installation, MCP protocol integration, automated workflows, and agentic coding best practices for AI-assisted development.

In-depth comparison of Cursor, GitHub Copilot, Windsurf, Trae, and other leading AI coding tools — covering features, pricing, and use cases to help developers pick the right AI assistant.