by Sam Bhagwat (Author), Michelle Gienow (Author)
The gap between prototype and production is where most AI teams stumble. Written by the co-creator of a popular agent framework, Patterns for Building AI Agents captures practical strategies emerging in the year of agents:
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Agent design patterns: Evolving architectures, creating dynamic agents, and building human-in-the-loop workflows
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Context engineering: Parallelization, context compression, and avoiding failure modes
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Eval workflows: Creating eval suites, cross-referencing failure modes with metrics, and leveraging domain experts
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Security fundamentals: Preventing prompt injection, sandboxing code execution, and implementing agent access control
Number of Pages: 92
Dimensions: 0.19 x 8 x 5 IN
Publication Date: October 21, 2025