The AI-Native Engineering Handbook
Production-tested patterns for building autonomous agents
A structured, production-tested guide to the patterns that make autonomous agents reliable. Each chapter includes diagrams, pseudocode, decision frameworks, and the failure modes you will hit in production.
The Agentic Landscape
A map of the agent ecosystem: autonomy levels, tool use, and the design patterns every AI-native engineer should know.
HDBK-001The ReAct Pattern
Learn the ReAct pattern: how LLMs interleave reasoning (Thought), tool calls (Action), and feedback (Observation) to solve complex tasks.
HDBK-002The Plan-and-Execute Pattern
Learn how Plan-and-Execute agents separate high-level planning from low-level execution using task lists, DAGs, and a re-planner.
HDBK-003The Reflection Pattern
Learn the Reflection pattern: how a Generator-Critic loop with a structured rubric reduces hallucinations and improves output quality.
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