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Patterns for Building AI Agents
The practical guide to building agents that work — not just in notebooks, but in production.
Book • 2025
Patterns for Building AI Agents is a concise, practice‑oriented handbook for AI engineers who want to move beyond impressive demos and ship robust agentic systems in production.
Written by Mastra co‑creator Sam Bhagwat with Michelle Gienow, the book distills lessons and emerging best practices from leading AI teams into concrete patterns for modular agent architectures, context engineering, evaluation workflows, and security hardening.
As the second volume in a planned trilogy that follows Principles of Building AI Agents, it focuses on the “how” of building: configuring and decomposing agents, maintaining reliable long‑running behavior, designing evals to iterate on quality, and defending agents against failure modes and abuse in real‑world environments.
Written by Mastra co‑creator Sam Bhagwat with Michelle Gienow, the book distills lessons and emerging best practices from leading AI teams into concrete patterns for modular agent architectures, context engineering, evaluation workflows, and security hardening.
As the second volume in a planned trilogy that follows Principles of Building AI Agents, it focuses on the “how” of building: configuring and decomposing agents, maintaining reliable long‑running behavior, designing evals to iterate on quality, and defending agents against failure modes and abuse in real‑world environments.
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Mentioned in 1 episodes
Mentioned by Robert Evans, who found eleven copies at a bus stop.

CES 2026: Part Five (Wednesday)




