Agentic AI Coding Automation with Claude Code In 2026. Este artículo no está disponible.
Idioma: inglés
Editorial: Independently published, 2026
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- Nuevo
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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Vendedor de IberLibro desde 7 de abril de 2005
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New Book. Shipped from UK. Established seller since 2000.
N° de ref. del artículo L2-9798257665769
- Título
- Agentic AI Coding Automation with Claude Code In 2026
- Autor
- Kairo Corvin
- Editorial
- Independently published
- Año de publicación
- 2026
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 13
- 9798257665769
- Peso del artículo
- 308 gramos
Artificial intelligence is reshaping how software is designed, written, and maintained. In Agentic AI Coding Automation with Claude Code (2026), Kairo Corvin presents a practical and structured exploration of how agent-driven systems can support modern development workflows without replacing the core principles of engineering discipline.
This book focuses on the emerging paradigm of agentic coding—where AI systems act as collaborative assistants capable of planning, generating, refining, and validating code across real-world development scenarios. Rather than treating AI as a shortcut, the book frames it as an augmentation layer that enhances productivity, improves iteration cycles, and supports scalable engineering practices.
Readers will explore how to structure AI-assisted workflows, integrate Claude-based tooling into development environments, and design repeatable automation pipelines that remain maintainable over time. The content balances conceptual clarity with applied examples, covering areas such as prompt structuring, agent orchestration, debugging collaboration, and safe automation boundaries.
This book is written for developers, technical leads, and engineers who want to incorporate AI into their workflow in a thoughtful and sustainable way. No prior experience with AI agents is required, but familiarity with software development concepts will help readers get the most out of the material.
By the end of this book, readers will understand how to design AI-supported coding systems that are efficient, reliable, and aligned with professional software development standards.
This book focuses on the emerging paradigm of agentic coding—where AI systems act as collaborative assistants capable of planning, generating, refining, and validating code across real-world development scenarios. Rather than treating AI as a shortcut, the book frames it as an augmentation layer that enhances productivity, improves iteration cycles, and supports scalable engineering practices.
Readers will explore how to structure AI-assisted workflows, integrate Claude-based tooling into development environments, and design repeatable automation pipelines that remain maintainable over time. The content balances conceptual clarity with applied examples, covering areas such as prompt structuring, agent orchestration, debugging collaboration, and safe automation boundaries.
This book is written for developers, technical leads, and engineers who want to incorporate AI into their workflow in a thoughtful and sustainable way. No prior experience with AI agents is required, but familiarity with software development concepts will help readers get the most out of the material.
By the end of this book, readers will understand how to design AI-supported coding systems that are efficient, reliable, and aligned with professional software development standards.
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