agenticloops-ai/agentic-ai-engineering

Built from first principles with runnable Python scripts, the tutorials progress from basic LLM API calls through autonomous agent loops to production patterns like prompt chaining, routing, and human-in-the-loop workflows. It covers practical engineering challenges—context management, structured outputs, multimodal input, RAG, and streaming—alongside framework comparisons (LangGraph, Pydantic AI, CrewAI, etc.) to help developers make informed architecture choices.