liyupi/ai-guide

程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程,分享 OpenClaw 保姆级教程、大模型玩法(DeepSeek / GPT / Gemini / Claude / GLM)、最新 AI 资讯、Prompt 提示词大全、AI 知识百科(Agent Skills / RAG / MCP /...

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Summary Information

Updated 40 minutes ago
Added to GitGenius on September 3rd, 2026
Created on February 13th, 2025
Open Issues & Pull Requests: 2 (+0)
GitHub issues: Enabled
Number of forks: 2,205
Total Stargazers: 19,642 (+2)
Total Subscribers: 135 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.1 days
Mean response time: 15.4 days
90th percentile: 58.6 days
Tracked items: 31

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 33% of issues opened in the past year have been closed. Three people close 100% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

ai-guide is a free open knowledge platform that aggregates AI tools, techniques, and resources for developers and non-technical users alike.

The project addresses the information gap around AI adoption by centralizing practical guidance on popular AI tools and models. It covers product introductions, usage guides, tool evaluations, tips, application scenarios, monetization strategies, industry news, and tutorials. The approach is comprehensive documentation organized to serve both beginners seeking foundational understanding and experienced developers looking for specific techniques or tool comparisons.

The platform suits anyone entering the AI space, from complete beginners to established developers, with particular emphasis on "Vibe Coding"—using AI to rapidly prototype and deploy products without deep technical expertise. The content spans multiple AI models including DeepSeek, GPT, Gemini, and Claude, along with development tools like Cursor and frameworks like LangChain and Spring AI. The project explicitly targets reducing barriers to AI adoption so that non-technical people can build and monetize AI-powered products.

The project maintains active documentation with translations available in English and Traditional Chinese, indicating ongoing effort to reach broader audiences. The repository serves as the source for a live website, suggesting the maintainer treats this as a sustained knowledge resource rather than a one-time contribution. The scope spans from beginner tutorials through advanced topics like RAG, agents, and MCP protocols, reflecting continuous expansion as the AI landscape evolves.