4491 related articles

Which is more cost-effective, OpenAI Codex or Claude Code? Starting from real bills, this article breaks down the billing structure, multiplier traps, and subscription limits of AI coding assistants.

A detailed walkthrough of the full Claude Code setup process, comparing AI coding tools like Cursor and Trae, and analyzing the cost and performance of models like Sonnet and DeepSeek V4 Pro.

A complete guide to installing and configuring Claude Code, comparing tools like Cursor and Trae, and analyzing the cost and performance of models like Sonnet and DeepSeek V4 Pro.

What is the fundamental difference between terminal agents and device agents? This article breaks down Claude Code's core positioning, the key logic for enterprise AI testing selection, and the advantages of the Claude Code + DeepSeek combination.

A step-by-step guide to the full Claude Code installation and setup: Node.js environment, Git Bash config, npm install, proxy setup for China, and API Key authorization—helping beginners avoid every common pitfall.

A step-by-step guide to Claude Code installation and configuration: Node.js setup, Git Bash config, npm install, network proxy for China users, and API Key login.

An in-depth look at Claude Code's key strengths: full-project context reading and automatic debugging. Compare Cursor, Trae, Codex, and more to find your ideal AI coding assistant.

In-depth analysis of Claude Code's core features and advantages: auto-reading project context, direct code execution, memory of coding preferences, and connecting external services via MCP. Compared with Cursor and ChatGPT to help developers choose the right AI coding tool.

An in-depth look at Claude Code's core features and advantages: auto-reading project context, direct code execution, remembering coding preferences, and connecting external services via MCP. Compared with Cursor and ChatGPT to help developers choose.

How do complete beginners get started with Claude Code? This guide covers VS Code setup, two ways to connect an LLM in China, four core usage modes, and building your first practical tool without writing a single line of code.

A developer shares a test case automation solution built on Claude Code + Skills: encapsulating requirement splitting, test point extraction, and case generation into independent Skills. The full workflow takes under 10 minutes.

Claude Code (CC) is more than a chat AI—it reads project files, creates and modifies code, and runs commands, ending copy-paste. This article compares CC with ordinary AI across 5 dimensions and explains CC vs Cursor.

An in-depth guide to Claude Code from installation to hands-on practice: CLI setup, switching to domestic LLMs (CC Switch tool), conversational Git workflows, plus project analysis and automated bug fixing tips for AI-powered coding.

Claude Code is an AI-assisted coding tool for programmers, supporting natural language interaction and local environments. Even beginners can pick it up fast.

A complete guide to Claude Code: Node.js setup, CLI install, switching to Chinese LLMs with CC Switch, core commands, and conversational Git workflows with automated bug fixing.

Claude Code by Anthropic goes beyond chat — it reads your files, edits code, and runs commands directly. See how it compares to ChatGPT and Cursor across 5 key dimensions.

Full guide to installing and configuring Claude Code: fix environment variables, network issues, and connect to Alibaba Cloud LLMs. Compare with Cursor and master all three working modes.

Get started with Claude Code from scratch: detailed Windows installation, environment variable setup, China network bypass, and connecting to free Alibaba Cloud Bailian models—plus the three working modes.

Claude Code isn't just a chat AI—it can directly read projects, modify code, and run commands. This article compares Claude Code with regular AI across five dimensions to help you decide if it's worth trying.

Claude Code isn't just a chat AI—it can directly read projects, modify code, and run commands. This article compares Claude Code with ordinary AI across five dimensions: interaction, context, execution, memory, and tool calling.