Architecture for Agentic Engineers
Design systems that agents can work within — clean interfaces, predictable state, and separation of concerns that scales.
Building software that AI can reason about and safely modify
Most software wasn't designed with AI agents in mind. This chapter teaches you how to architect systems that agents can understand, navigate, and modify — without creating a mess.
You'll learn separation of concerns for agentic workflows, how to design tool and API surfaces that agents can actually use, and patterns for managing state in systems where both humans and agents operate.
Designing for Agents: Separation of Concerns
Structure your codebase so agents can reason about isolated pieces instead of needing to understand everything at once.
Tool Design and API Surfaces Agents Can Use
Build APIs and tool interfaces that agents can discover, understand, and call correctly — without guessing.
State Management and Orchestration Patterns
Manage state in systems where humans and agents both operate — without losing track of who changed what and why.