Production Agentic Coding (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 53,50
Cantidad disponible: 1 disponible
Añadir al carritoDescripción del artículo del vendedor
Paperback. Artificial intelligence is no longer just generating text-it is writing code, orchestrating workflows, making decisions, using tools, and increasingly operating as an autonomous engineering partner.The future of software development belongs to developers who know how to build systems that do more than respond-they reason, plan, execute, and improve.Production Agentic Coding is your practical guide to building intelligent AI software agents that can automate complex engineering tasks, collaborate across workflows, and operate reliably in production environments.This is not another beginner book filled with hype or shallow prompt examples.This book goes far beyond simple AI-assisted coding and shows you how to design production-ready agentic systems powered by Claude Code, memory architectures, tool orchestration, autonomous workflows, and modern software engineering practices.Inside this book, you will learn how to build AI systems that can: Understand goals and decompose complex software tasksGenerate, refactor, and review production-quality codeUse tools, APIs, databases, and external services autonomouslyMaintain persistent memory across tasks and workflowsCollaborate through multi-agent architecturesDebug failures and improve through feedback loopsScale safely with security guardrails and monitoringDeploy resilient AI agents into real-world production systemsWhether you are building internal engineering copilots, autonomous coding assistants, DevOps automation systems, AI-powered SaaS products, or enterprise workflow orchestration platforms, this book provides the architectural foundations and implementation patterns you need.Unlike theory-heavy AI books, Production Agentic Coding emphasizes practical engineering. You will work through real-world workflows, production architectures, implementation strategies, deployment considerations, and code-driven examples that reflect how modern AI systems are actually built.This book covers: Foundations of agentic software engineeringClaude Code workflow design and integrationPrompt engineering for reliable coding agentsMemory systems for persistent AI agentsTool calling and external system orchestrationMulti-agent collaboration patternsAutonomous testing and debugging pipelinesSecurity, safety, and operational guardrailsProduction deployment and scalability strategiesAdvanced architectures for next-generation AI systemsWho This Book Is ForSoftware engineers and backend developersAI engineers and machine learning practitionersDevOps and infrastructure engineersTechnical founders building AI productsAutomation specialists and workflow architectsAdvanced learners exploring agentic AI systemsIf you already understand basic programming and want to move beyond simple chatbot applications into real production AI engineering, this book was written for you.The AI revolution will not be led solely by models.It will be led by engineers who know how to build systems around those models-systems with memory, tools, autonomy, and production reliability.That skill is rapidly becoming one of the most valuable in modern software engineering.If you want to build the next generation of intelligent software, this book will show you how.Start your voyage into production-grade agentic engineering today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
N° de ref. del artículo 9798185179659
- Título
- Production Agentic Coding (Paperback)
- Autor
- Solomon Daven
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798185179659
Artificial intelligence is no longer just generating text—it is writing code, orchestrating workflows, making decisions, using tools, and increasingly operating as an autonomous engineering partner.
The future of software development belongs to developers who know how to build systems that do more than respond—they reason, plan, execute, and improve.
Production Agentic Coding is your practical guide to building intelligent AI software agents that can automate complex engineering tasks, collaborate across workflows, and operate reliably in production environments.
This is not another beginner book filled with hype or shallow prompt examples.
This book goes far beyond simple AI-assisted coding and shows you how to design production-ready agentic systems powered by Claude Code, memory architectures, tool orchestration, autonomous workflows, and modern software engineering practices.
Inside this book, you will learn how to build AI systems that can:
- Understand goals and decompose complex software tasks
- Generate, refactor, and review production-quality code
- Use tools, APIs, databases, and external services autonomously
- Maintain persistent memory across tasks and workflows
- Collaborate through multi-agent architectures
- Debug failures and improve through feedback loops
- Scale safely with security guardrails and monitoring
- Deploy resilient AI agents into real-world production systems
Whether you are building internal engineering copilots, autonomous coding assistants, DevOps automation systems, AI-powered SaaS products, or enterprise workflow orchestration platforms, this book provides the architectural foundations and implementation patterns you need.
Unlike theory-heavy AI books, Production Agentic Coding emphasizes practical engineering. You will work through real-world workflows, production architectures, implementation strategies, deployment considerations, and code-driven examples that reflect how modern AI systems are actually built.
This book covers:
- Foundations of agentic software engineering
- Claude Code workflow design and integration
- Prompt engineering for reliable coding agents
- Memory systems for persistent AI agents
- Tool calling and external system orchestration
- Multi-agent collaboration patterns
- Autonomous testing and debugging pipelines
- Security, safety, and operational guardrails
- Production deployment and scalability strategies
- Advanced architectures for next-generation AI systems
- Software engineers and backend developers
- AI engineers and machine learning practitioners
- DevOps and infrastructure engineers
- Technical founders building AI products
- Automation specialists and workflow architects
- Advanced learners exploring agentic AI systems
If you already understand basic programming and want to move beyond simple chatbot applications into real production AI engineering, this book was written for you.
The AI revolution will not be led solely by models.
It will be led by engineers who know how to build systems around those models—systems with memory, tools, autonomy, and production reliability.
That skill is rapidly becoming one of the most valuable in modern software engineering.
If you want to build the next generation of intelligent software, this book will show you how.
Start your voyage into production-grade agentic engineering today.
“Sinopsis” puede pertenecer a otra edición de este título.
Grand Eagle Retail
Bensenville, IL, Estados Unidos de America
Vendedor de IberLibro desde 12 de octubre de 2005
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