I enjoyed reading the book. The overall introductory explanation is excellent. However, it feels a bit detached from the content and code that can be directly applied in practice.

mindcompass

We are hosting a reading challenge for "AI Agent Engineering," a practical guide to building proactive agent systems using LLMs. This book covers the core components of agents step-by-step, from tool selection to orchestration (designing planning and execution flows) and memory management. It also explores how to scale into multi-agent architectures where multiple agents collaborate by dividing roles.

Furthermore, it expands your perspective from "how to build" to "how to operate" by covering essential production-level topics such as reliability, security, and governance. 

Do you want to go beyond automation and design agent systems that operate safely, transparently, and according to human intent? Discover a concrete roadmap to turn your ideas into production-level systems through this book and challenge!

teeddub

[4-Week Course] "AI Agent Engineering" Reading Challenge

ai in practice

AI 활용법

인공지능

hanbit

입문

초급

중급이상

파이썬

Python

검색증강생성

AI 에이전트

AI Agent

Book Reading Challenge

book-challenge

Week 1 | What is an agent and what should be designed

Week 2 | Building a Functional Agent (Connecting Tools + Orchestration + Memory·RAG)

Week 3 | Learning + Expanding to Multi-Agent

Week 4 | Operable Systems: Evaluation, Monitoring, Improvement, Security, and Governance