21 related articles

Learn how to build a Feishu-style document system with TipTap editor, integrating AI auto-completion, document continuation, and RAG knowledge base Q&A with vector databases and Embedding.

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.

An in-depth look at Vibe Coding (AI-assisted programming) at major tech companies. With three real AI coding interview questions from firms like ByteDance, we analyze how frontend developers can master AI programming and rebuild core competitiveness.

A complete guide to the three core categories of AI tools in the testing era (personal assistants, CLI geek tools, AI IDEs), revealing the real challenges of AI test case generation and the new AI test development paradigm.

Deep dive into Coze's three core capabilities: multi-person multi-AI collaboration, customizable agents, and cross-platform project management. Covers credits, Dify comparison, and a practical learning path.

A ByteDance interviewer breaks down the 3-layer Vibe Coding interview framework: AI tool awareness, complex product engineering, and a 1-hour full-stack challenge. Architectural thinking wins.

From Claude Chat to CoWork to Claude Code: a complete guide covering the three usage levels, Projects/Skills setup, MCP/CLI tool integration, and real automation workflows like fully automated knowledge video pipelines.

What exactly is the Cloud Coding Agent Silicon Valley is hyping? This article breaks down the core concept across three axes—where it runs, who watches, where tasks start—and gives users in China practical advice on local alternatives.

A big-tech interviewer reveals: junior/mid frontend dev is being replaced by AI. This article breaks down 3 core Vibe Coding interview questions to help you master key skills for the AI-assisted coding era.

An Agent developer's three-round interview reveals why general-purpose Agents are a dead end for startups. The path forward: vertical Agents, domain context, and iteration speed as a moat.

Skill and MCP are two core concepts for building AI Agents. Skill encapsulates task execution methodology, while MCP provides a standardized protocol for connecting external tools. This article breaks down their core differences, abstraction levels, and collaboration.

A comprehensive guide to software testing fundamentals covering definitions, purposes, classification by phase, technique, and method, plus core concepts like smoke testing and regression testing.

Deep dive into n8n's core capabilities including 500+ nodes, AI Agent building, and RAG integration, with an objective analysis of its limitations and suitability for use in China.

Compare 5 Agent tool types: CLI, API, MCP, Browser Use & Computer Use on speed, accuracy, and token cost. Includes a selection priority table to cut costs and boost Agent efficiency.

A deep dive into n8n's workflow automation capabilities, covering its 500+ node ecosystem, AI Agent development, RAG system building, and practical tips for use in different regions.

Deep dive into n8n's core capabilities, 500+ node ecosystem, AI Agent integration, and the localization challenges it faces in China, with workarounds and suitability assessment.
TutorialsStep-by-step OpenClaw open-source AI agent deployment guide covering local setup, cloud deployment, WeChat and Feishu integration, and custom Skills development.
TutorialsBuild a Gomoku game with Claude Code: learn three working modes, the development workflow, and core anti-degradation tips using Compact/Clear commands and context monitoring plugins.
TutorialsA detailed guide to Cursor's four core workspaces: File Explorer, Code Editor, Terminal, and AI Chat Panel. Learn Agent mode, Ask mode, Git version control, and key settings for beginners.
TutorialsIndie developer Owen shares a complete Vibe Coding playbook — from product portfolios to global monetization, covering AI coding tools, SEO traffic, and SaaS templates.