Agentic AI for Developers: Build Autonomous AI Systems That Plan, Execute, and Deliver Real-World Results Using Modern AI Agents
English | May 8, 2026 | ASIN: B0GXLP6PM3 | 222 pages | Epub | 542.61 KB
Agentic AI is changing how modern software is built. Instead of relying on single prompts or isolated model responses, developers are now designing autonomous AI systems that can plan, reason, use tools, manage memory, execute workflows, and adapt across multi-step tasks. As AI agents become central to automation, research systems, enterprise workflows, and intelligent applications, the ability to build reliable agentic systems is quickly becoming one of the most valuable skills in modern software development.Agentic AI for Developers is written for technical readers who want more than theory. This book focuses on practical architecture, production-ready control, real-world implementation patterns, and the engineering discipline required to move from experimental AI prototypes to reliable autonomous systems. It aligns with today's best practices in AI system design, including structured workflows, tool calling, retrieval-augmented generation, state management, observability, guardrails, evaluation, cost control, and scalable deployment.This book gives you a clear, implementation-driven path to building AI agents that do more than generate responses. You will learn how to design systems that understand goals, break tasks into steps, coordinate tools, preserve context, recover from failures, and deliver useful results under real-world conditions. From foundational agent loops to multi-agent coordination and production deployment, every chapter is designed to help you turn intelligent models into dependable software systems.What's Inside* Discover how to move from basic prompting to goal-driven AI systems that plan and execute with purpose.* Learn the core architecture of agentic AI systems, including perception, planning, action, reflection, memory, and workflow orchestration.* Build agent workflows that use APIs, external tools, databases, function calling, structured inputs, and secure execution patterns.* Explore planning and reasoning strategies such as task decomposition, adaptive execution, tool-augmented reasoning, and controlled autonomy.* Master memory systems, RAG pipelines, vector stores, long-term context, state propagation, and context management for complex AI applications.* Design real-world agents for research, content generation, workflow automation, business operations, and enterprise AI integration.* Understand multi-agent systems, role-based coordination, planner-executor-reviewer patterns, communication protocols, and conflict resolution.* Learn how to debug, evaluate, monitor, optimize, and scale agent systems while controlling latency, token usage, cost, reliability, and production risk.This book is for developers, software engineers, AI builders, automation specialists, technical founders, and professionals who want to build practical AI agent systems instead of simply experimenting with prompts. If you already understand APIs, software architecture, Python, backend systems, or automation workflows, this book will help you add the missing layer: turning AI reasoning into controlled, reliable, production-ready execution.You do not need months of scattered research to understand agentic AI development. With a structured, step-by-step approach, this book helps you build clarity quickly and apply modern AI agent concepts with confidence. In weeks, not months, you can move from basic LLM usage to designing autonomous AI systems that plan, execute, recover, and scale.If you are ready to go beyond simple AI prompts and start building autonomous systems that deliver real-world results, Agentic AI for Developersis your practical guide. Get the book today and begin mastering the architecture, workflows, tools, and production strategies that will define the next generation of AI-powered software.
Links are Interchangeable - Single Extraction
