The AI Developer's Guide to Agentic Coding : Harnessing LLMs, Prompt Engineering, and Generative AI
Language: English
Published by Independently Published Sep 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 24.77
Quantity: 2 available
Add to basketItem description from seller
Neuware - The next generation of developers will not simply write every line of code themselves. They will design workflows in which humans and AI systems collaborate to plan, build, test, debug, and maintain software.The AI Developer's Guide to Agentic Coding: Harnessing LLMs, Prompt Engineering, and Generative AI is a practical roadmap for developers who want to become effective builders in this new AI-powered engineering environment.The book explains how Large Language Models are transforming everyday development workflows and how developers can move beyond basic chatbot interactions toward sophisticated, agent-driven software engineering.You will learn how to communicate effectively with LLMs using modern prompt engineering techniques, provide meaningful context, evaluate AI-generated code, and integrate generative AI into planning, implementation, debugging, testing, and documentation.The book then explores the foundations of agentic coding. Readers will discover how AI agents use goals, planning systems, memory, tools, feedback, and verification loops to perform complex software tasks with increasing autonomy.Practical chapters focus on building reliable coding workflows, designing tool-using agents, managing codebase context, coordinating multiple agents, and creating safety boundaries for autonomous systems.More than a guide to using AI tools, this book is about developing the mindset and skills required to thrive as a software engineer in an AI-native world.The AI Developer's Guide to Agentic Coding will help you understand not just how to use generative AI for programming, but how to architect intelligent development systems where humans remain in control while AI handles more of the execution.…
Seller Inventory # 9798172483158
- Title
- The AI Developer's Guide to Agentic Coding : Harnessing LLMs, Prompt Engineering, and Generative AI
- Author
- Keiko Monroe
- Publisher
- Independently Published Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798172483158
- Item weight
- 431 grams
- Dimensions
- 254x178x13 mm
- Series
- Book 4 of 4: The AI-Powered Developer Series
The AI Developer’s Guide to Agentic Coding: Harnessing LLMs, Prompt Engineering, and Generative AI is a practical roadmap for developers who want to become effective builders in this new AI-powered engineering environment.
The book explains how Large Language Models are transforming everyday development workflows and how developers can move beyond basic chatbot interactions toward sophisticated, agent-driven software engineering.
You will learn how to communicate effectively with LLMs using modern prompt engineering techniques, provide meaningful context, evaluate AI-generated code, and integrate generative AI into planning, implementation, debugging, testing, and documentation.
The book then explores the foundations of agentic coding. Readers will discover how AI agents use goals, planning systems, memory, tools, feedback, and verification loops to perform complex software tasks with increasing autonomy.
Practical chapters focus on building reliable coding workflows, designing tool-using agents, managing codebase context, coordinating multiple agents, and creating safety boundaries for autonomous systems.
More than a guide to using AI tools, this book is about developing the mindset and skills required to thrive as a software engineer in an AI-native world.
The AI Developer’s Guide to Agentic Coding will help you understand not just how to use generative AI for programming, but how to architect intelligent development systems where humans remain in control while AI handles more of the execution.
"Synopsis" may belong to another edition of this title.
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