Snailclimb/AIGuideGitHub
calls ai-system-design-guide “Pick it when you only care about production system design and evals, and want a shorter, focused read.”
AI 应用开发、AI 编程实战与面试指南，涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。
611active
ombharatiya/ai-system-design-guide Alternatives
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didilili/ai-agents-from-zeroGitHub
calls ai-system-design-guide “Pick it when you need system-design and eval framing for production AI rather than step-by-step LangChain code.”
🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
4.6kPythonactive
bryanyzhu/agentic-ai-system-courseGitHub
calls ai-system-design-guide “choose when you need a concise production AI system design and eval guide rather than an agent course”
Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents
611JavaScriptactive
Haozhe-Xing/agent_learningGitHub
calls ai-system-design-guide “Choose it if you want an AI system design and evals guide rather than a hands-on agent-building tutorial.”
A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch
520HTMLactive
chiphuyen/aie-bookGitHub
calls ai-system-design-guide “Choose it when you need a concise system-design and evals checklist rather than a broad book.”
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
17.5kJupyter Notebookactive