Agentic Engineering Handbook – 115 official OpenAI/Anthropic articles (github.com)

The Agentic Engineering Handbook has been launched, consolidating 115 official articles from OpenAI, Anthropic, and other contributors into one comprehensive learning roadmap. This resource is crucial for professionals in the AI/ML community as it outlines the essential skills and knowledge required to navigate the newly defined Agentic Era, where building production-quality AI systems relies heavily on understanding agents, tool use, and workflow management. By assembling these scattered resources, the handbook provides a structured pathway to becoming a proficient Agentic Engineer, promoting a shared vocabulary around concepts such as tool loops and agent harnesses. Key features of the handbook include deep dives into the Model Context Protocol (MCP), coding agents, and effective harness designs for long-running systems. Technical articles explore advanced topics like orchestrating multi-agent workflows, ensuring safety through evals, and optimizing agent performance with context management. As the AI landscape increasingly shifts towards agent-driven solutions, this handbook serves as an invaluable tool, easing the path for developers and engineers to design, implement, and evaluate intricate AI systems effectively.