Agent Engineering Roadmap – a beginner-friendly guide to building AI agents (github.com)

A new "Agent Engineering Roadmap" has been released, offering a comprehensive, beginner-friendly guide for developers looking to build production-ready AI agents. This roadmap outlines a structured approach to creating AI systems that integrate various essential components such as Memory Systems, Multi-Agent Workflows, and Agent Colonies, moving beyond simple chatbot frameworks. Through hands-on learning milestones, users can explore fundamental concepts like tool usage, memory design, and evaluation methods, ultimately leading to the development of robust, scalable AI applications. This initiative is significant for the AI/ML community as it addresses the gap in current tutorials which often focus solely on prompts or basic tool calling, underscoring the necessity for safer, context-aware agents equipped with evaluated workflows and multi-agent collaboration. The roadmap emphasizes practical application and engineering methodologies, encouraging creators to think critically about agent interactions and system integration. By providing templates, benchmarks, and example use cases across various industries such as healthcare and finance, it facilitates a deeper understanding of agent architecture and promotes best practices for safe and effective AI deployment in real-world scenarios.