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Complete Claude Code beginner's guide covering Git, VS Code setup, third-party model integration, permissions, Tools, Hooks, Skills, SubAgents, and a hands-on project walkthrough.

A systematic AI Agent development learning roadmap covering LLM fundamentals, ReAct paradigm, memory & tool calling, and multi-agent collaboration across four stages with project suggestions.

A systematic AI Agent learning path covering core principles, dev environment setup, memory management, multi-agent collaboration, and hands-on projects for beginners.

A deep dive into generating professional animated videos from scratch using Claude Code with Remotion, covering GSAP, Three.js, Lottie, Blender comparisons, Skill file setup, and advanced tips.

A complete hands-on guide to OpenAI Codex covering installation, CLI interaction, agents.md setup, MCP protocol integration, Rules governance, and building a RAG intelligent customer service system.

A hands-on guide using DeepSeek, Claude, and GPT for product ideation, then Cursor to build a WeChat Mini Program. Four iterations from zero to frontend.

A proven AI Agent learning roadmap covering four core elements, mainstream architecture patterns, multi-agent collaboration, and hands-on projects to go from zero to job-ready in three months.

A systematic AI Agent learning path covering core principles, Prompt engineering, RAG, multi-Agent collaboration, and hands-on projects for beginners.

How to efficiently learn AI skills during summer break after exams? A complete path from mastering prompts and hands-on projects to freelancing on platforms.

Deep dive into Andrew Ng & OpenAI's ChatGPT Prompt Engineering course: Base LLM vs instruction-tuned models, two core prompting principles, and API-first development thinking for developers.

Learn how to configure Open Cloud for multi-Agent communication, including session_visibility, agent_to_agent toggle, and whitelist setup, plus Feishu group chat orchestration for AI team collaboration.

A complete learning path for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, and lightweight deployment to guide developers from basics to production.

Build AI Agents with zero coding experience! Learn prompt engineering, RAG knowledge bases, and workflow orchestration using no-code platforms like Coze and Dify, plus real monetization paths.

A systematic guide covering the evolution from traditional AI agents to Deep Agents, including core architectures, four development stages, technical features, and practical developer guidance.

In-depth analysis of viral Claude Opus 4.8 no-VPN tutorials on Bilibili, exposing fake model versions, third-party platform security risks, and legitimate ways to access international AI models.

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.

Exposing security risks behind free Grok image generation mirror sites, including API theft, data collection, and phishing, plus guides to official channels and compliant AI tools.

Step-by-step Dify local deployment guide using VMware, Ubuntu, BT Panel, and Docker. Perfect for beginners with zero Linux experience to set up this open-source AI development platform.
TutorialsLearn how to build an AI-powered planning app with zero code using Google AI Studio prompts, covering UI design, task systems, AI assistant integration, and one-click deployment.
TutorialsComplete guide to AI comic drama production workflow covering LLM scriptwriting, AI image generation on platforms like Jimeng, and post-production editing—a systematic methodology for creators.