Agentic Software Engineering: A Practical, Step-by-Step Guide to Building and Running Agentic Coding Systems with Claude Code
English | May 20, 2026 | ASIN: B0H2D8L2BZ | 353 pages | Epub | 340.87 KB
Master Agentic Software Engineering and Build AI Systems That Can Think, Plan, and ExecuteArtificial intelligence is changing software engineering at a structural level. Developers are no longer limited to static automation, simple prompt-response workflows, or basic code completion tools. A new class of systems is emerging: agentic coding systems capable of reasoning through tasks, using tools, managing memory, executing workflows, debugging code, and adapting dynamically to complex objectives.Agentic Software Engineering is a practical, production-focused guide designed to help developers move beyond traditional AI-assisted coding and into the world of autonomous software systems powered by modern large language models and Claude Code.This book does not focus on hype, surface-level tutorials, or abstract theory. Instead, it provides a clear and technically grounded path for understanding how agentic systems work and how to build them reliably in real engineering environments.Inside this book, you will learn how modern AI coding agents operate, how reasoning loops are structured, how tools and execution environments are integrated, and how to design systems capable of planning, acting, evaluating results, and refining outputs across multiple steps.What You Will LearnAI coding agents and autonomous execution systemsTool-augmented reasoning and function callingPrompt engineering for agentic workflowsMemory and context management strategiesMulti-step execution pipelinesAgent architectures and orchestration patternsError handling, debugging, and observabilityPerformance optimization and cost controlProduction deployment and system scalingSecurity, guardrails, and safe execution practicesReal-World Applications CoveredAutomated debugging systemsCode refactoring agentsAutonomous development workflowsExecution pipelines for production environmentsRather than treating AI as a black-box assistant, this book teaches you how to engineer systems around modern language models with reliability, control, scalability, and maintainability in mind.Whether you are building internal engineering tools, autonomous development workflows, AI-powered software products, or next-generation coding systems, this book provides the practical knowledge needed to design and operate agentic architectures effectively.Who This Book Is ForSoftware engineersBackend developersAI engineersMachine learning practitionersDevOps engineersPlatform engineersTechnical architectsAdvanced programming studentsDevelopers exploring autonomous AI systemsThis book is especially valuable for developers who want to move beyond simple prompting and understand how production-grade AI agents are actually built.What Makes This Book DifferentUnlike many AI books that focus heavily on theory or beginner-level examples, Agentic Software Engineering emphasizes real engineering principles and production-oriented thinking.By the End of This Book, You WillUnderstand what truly makes a system agenticBuild structured AI coding workflowsCreate systems that can reason and act autonomouslyIntegrate external tools into AI execution pipelinesDesign memory-aware coding agentsDevelop multi-step autonomous workflowsHandle failures and debugging in agent systemsDeploy scalable AI-powered engineering systemsBuild production-ready agentic architectures with confidenceThe future of software engineering is shifting toward intelligent, tool-using, execution-capable systems. Developers who understand how to design and manage these systems will play a major role in the next generation of software development.
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