Systems Thinking for Agentic AI by Ediz Najim (.ePUB)
File Size: 24.6 MB
Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems by Ediz Najim
Requirements: .ePUB reader, 24.6 MB
Overview: Build real AI agent systems, not fragile demos. Systems Thinking for Agentic AI is a practical architecture book for software engineers, backend developers, technical leads, and architects who want to design production-ready applications with large language models. LLMs are powerful, but an LLM alone is not a system. Real AI applications need prompts, retrieval, tools, memory, and orchestration working together with guardrails, evaluation, observability, and runtime control — all inside clear engineering boundaries. This book explains how to move from simple chatbot experiments to reliable AI-enabled software systems. It focuses on the production realities that matter after the demo works: latency, cost, failure handling, tool execution, structured outputs, testing, tracing, safety controls, and maintainability. This book is for software engineers, backend developers, technical leads, and software architects who want to build practical AI systems. You do not need a machine learning background. If you already build backend services with APIs, distributed systems, and system design in mind, this book helps you extend that skill set directly into AI-powered systems. The intended readers are software engineers, backend developers, and software architects who want to build practical AI systems. You do not need a Machine Learning background to read it. However, familiarity with APIs, backend development, system design, and distributed systems will help you get more from the material. If you already know how to build backend services, this book will help you extend that skill set into AI-powered systems.
Genre: Non-Fiction > Tech & Devices
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