{"repo":"agenticloops-ai/agentic-ai-engineering","free":true,"listed":false,"github":"https://github.com/agenticloops-ai/agentic-ai-engineering","clone":"git clone https://github.com/agenticloops-ai/agentic-ai-engineering.git","description":"Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.","language":"Python","stars":234,"topics":["agentic","agentic-ai","agentic-rag","agentic-workflow","ai-agent-frameworks","ai-agent-tools","ai-agents","agentic-patterns","anthropic","llm"],"license":"MIT","category":"ai-agents","readme_excerpt":"English Deutsch Español français 日本語 한국어 Português 中文 Agentic AI Engineering Building AI agents is engineering, not magic. Stop reading about agents. Start building them. This is the repo for engineers who want to understand what's behind popular agents like Claude Code , Claude Cowork , Codex , and GitHub Copilot — and how to build one yourself. - 🔁 The whole path — from your first LLM call to a production eval harness - 🧱 No fancy frameworks — just an LLM API, some tools, and a loop - 🌱 No prior AI/ML experience required — Python basics and curiosity are enough 💡 Build one this weekend. You'll understand agents better than reading 100 blog posts. If you find this useful, a ⭐️ star helps us know we're on the right track. Join the 💬 discussion or report an 🐛 issue — your input directly shapes what we build next. 🎯 Why this repo? - 📦 First principles, no black boxes. You build the agent loop, the tool executor, the memory layer, the eval harness from scratch — before we introduce a single framework. Learn what each abstraction is hiding before you let one hide it for you. - ⚡ Runnable in one command. uv run --directory python .py . No conda dance. No Jupyter kernel hunt. - 🔬 We take production agents apart. The Disassembling AI Agents Substack series reverse-engineers Claude Code, GitHub Copilot, and OpenCode. You read how real agents work, then rebuild the pieces here. ❓ Why you need to learn this? Agent fluency is the new data-structures interview. We teach it from ","default_branch":null,"files":null,"tree":[],"storefront":"/r/agenticloops-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/agenticloops-ai/agentic-ai-engineering/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}