Developing Agentic AI: Patterns and Architectures for Autonomous Systems: A Practical Guide for AI Engineers to Build Scalable and Reliable Agents

Author:   Ethan Quan
Publisher:   Independently Published
Volume:   2
ISBN:  

9798296018151


Pages:   222
Publication Date:   31 July 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Developing Agentic AI: Patterns and Architectures for Autonomous Systems: A Practical Guide for AI Engineers to Build Scalable and Reliable Agents


Overview

Master the art of building scalable and reliable autonomous systems with Developing Agentic AI: Patterns and Architectures for Autonomous Systems, a definitive guide tailored for AI engineers. Authored by Ethan Quan, this 14-chapter book explores cutting-edge workflow patterns and architectures, diving into goal decomposition, ReAct reasoning, and reflection loops to create intelligent agentic systems. Learn to implement tool chaining, orchestrate multi-agent collaborations, and manage short-term and long-term memory layers with practical code snippets in Python and TypeScript. The book addresses scalability strategies like rate limiting and sandbox execution, self-healing deployments, and monitoring for drift with performance optimization techniques. Discover governance models for responsible AI, cost optimization in agentic workflows, and the power of low-code agent factories for rapid development. Enriched with real-world case studies-such as scaling DevOps and customer support agents-this guide bridges the gap from ad-hoc scripts to robust, production-ready solutions. Ideal for AI engineers seeking to design resilient, maintainable agentic systems, this book requires no advanced prerequisites-just a drive to innovate. With concise tutorials and actionable checklists, achieve impactful results quickly. Key Topics: Agentic systems, workflow patterns, goal decomposition, ReAct reasoning, reflection loops, tool chaining, multi-agent collaboration, memory management, scalability, rate limiting, self-healing deployments, drift monitoring, governance, cost optimization, low-code development, real-world case studies. Who This Book Is For: AI Engineers designing autonomous workflows. Developers building scalable agentic architectures. Data Scientists optimizing multi-agent systems. Product Leaders overseeing AI system reliability. No prior agentic system expertise needed-just a passion for AI innovation. Why Choose This Book? Comprehensive Approach: From workflow patterns to production-ready systems. Practical Insights: Hands-on tutorials and code for immediate application. Future-Focused: Explores emerging trends in agentic system design. Ready to develop scalable, reliable agentic AI? Get Developing Agentic AI: Patterns and Architectures for Autonomous Systems today and revolutionize your AI engineering projects

Full Product Details

Author:   Ethan Quan
Publisher:   Independently Published
Imprint:   Independently Published
Volume:   2
Dimensions:   Width: 17.80cm , Height: 1.20cm , Length: 25.40cm
Weight:   0.395kg
ISBN:  

9798296018151


Pages:   222
Publication Date:   31 July 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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