Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
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Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Examples and guides for using the OpenAI API
from vibe coding to agentic engineering - practice makes claude perfect
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
TranslatedProgrammer Yupi's (程序员鱼皮) complete AI resource collection + zero-basics Vibe Coding tutorial. Shares step-by-step OpenClaw tutorials, ways to use large models (DeepSeek / GPT / Gemini / Claude / GLM), the latest AI news, a complete collection of Prompts, an AI knowledge encyclopedia (Agent Skills / RAG / MCP / A2A), AI programming tutorials (Harness Engineering), guides to using AI tools (Cursor / Claude Code / TRAE / Codex / Copilot), AI development framework tutorials (Spring AI / LangChain), and a guide to monetizing AI products, helping you quickly master AI technology and stay at the forefront of the times. This project is the open-source documentation aiguide, which has been upgraded to the Yupi AI Navigation website (鱼皮 AI 导航网站)
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Translated[Lumina Embodied AI Community] Embodied AI technology guide Embodied-AI-Guide
TranslatedStarting from 0, master the basic process of doing research and writing papers.
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
full guide to help you integrate AI in your workflow, for both beginners and experienced users
How to build useful, profitable apps in 2026. Clone it and point your coding agent at AGENTS.md.
TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.
TranslatedA basic tutorial for getting started with AI Agents from zero background. It is not just a tutorial but also an Agent that can run locally: read and write files, execute commands, MCP, long-term memory, with a built-in web interface to see every step clearly. Starting from a minimal 100-line loop, each lesson adds one capability, and in the end it breaks down mainstream Agents such as Claude Code and Codex
Translated🐋 Complete guide in Russian: how to install and run DeepSeek locally (V4, R1) on PC, Mac and server — Ollama, llama.cpp, LM Studio, vLLM, Open WebUI, API, RAG, agents, fine-tuning, best tips and tricks