The Agentic
Engineering Guide

The decisions, trade-offs, and organizational patterns that determine whether AI agents become a force multiplier or a source of burnout. Context engineering to cost control, authorization to adoption playbooks.

For engineering leaders and senior engineers adopting AI agents. Half the book covers decisions that don't require code: AI fatigue, the conductor model, adoption playbooks, governance, measuring what matters. Technical chapters assume familiarity with how software systems work. Technical PMs and engineering managers get full value. Non-technical readers will find roughly a third useful.