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A comprehensive guide to Vibe Coding's three tool categories: Agent frameworks, CLI Coding, and IDE tools, with practical examples including Snake game and data analysis workbench.

Learn how to connect OpenAI Codex to DeepSeek models via CC Switch, enabling free switching between DeepSeek and GPT with complete setup and routing guide.

A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.

Step-by-step guide to configuring CreateNow agents with DeepSeek, Kimi, and Xiaomi LLMs. Covers one-click setup, custom model integration, and API Key acquisition for building AI digital employees.

Complete guide to installing Claude Code, connecting Chinese LLMs like DeepSeek, and practical usage tips. Covers three usage modes, hands-on examples, and advanced techniques.
Connect Claude Code to DeepSeek V4: 3-…
Learn how to connect Claude Code to DeepSeek V4 using CC Switch in 60 seconds. Complete guide covering installation, API Key setup, and model switching for lower-cost AI coding.
Complete Beginner's Guide to Cursor AI…
Learn Cursor AI editor setup, Agent/Ask/Manual modes, model selection tips, and build a full student management system from scratch in this step-by-step guide.
The Complete Guide to Claude Code: Cho…
A deep dive into Claude Code's core advantages as a terminal AI programming tool, how it differs from Device Agents, and practical setup steps to get started with enterprise-grade AI coding.
Trae + Claude Code + DeepSeek: A Low-C…
A detailed guide to the Trae, Claude Code, and DeepSeek AI programming combo — just 20 RMB/week in API costs. Covers setup steps, practical tips, and layered collaboration strategies.
Claude Code Installation & Configurati…
Complete guide to installing and configuring Claude Code, covering Node.js setup, npm global install, CC Switch model config, API Key setup, and VS Code plugin.
AI Agent Core Architecture Explained: …
Deep dive into AI Agent architecture: explore the four core modules — Perception, Brain, Action, and Memory — covering RAG, tool calling, Chain of Thought, and more.
Java Developer's Guide to AI Applicati…
A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
Learning AI Agent Development from Scr…
A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.
Self-Study Guide to AI Agent Developme…
A practical self-study roadmap for AI Agent development: covering core skills, common pitfalls, phased learning plans, and interview prep to help developers go from concept collectors to builders.
LangChain from Beginner to Agent Devel…
A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.
Codex++ Hands-On: Complete Guide to Co…
Step-by-step tutorial on using Codex++ to connect Chinese LLMs like DeepSeek and Tongyi Qianwen without a ChatGPT account, with full Computer Use and plugin support.

5 proven paths to making money independently with Python: automation scripts, AI app development, quantitative trading, tool/course sales, and full-stack web services, with pricing references and practical tips.

Deep dive into OpenAI Swarm multi-agent orchestration framework, explaining Function Call tool invocation and Handoff task transfer mechanisms with local deployment guide.
Industry InsightsPractical strategies for AI product development: why not to train models from scratch, when to use APIs vs. fine-tuning, building product moats, and the full path from evaluation systems to commercialization.
TutorialsIn-depth comparison of ReAct and CodeAct — two core Agent tool-calling architectures. From paper principles to code implementation, learn the trade-offs between reasoning+action and code execution.