Items related to Agentic Coding with LLMs: Build Autonomous Software...
Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering (The AI-Powered Developer Series) - Softcover
Book 3 of 4: The AI-Powered Developer Series
Synopsis
What happens when an AI system can do more than generate a function?
It can inspect a repository, understand a development task, create a plan, modify multiple files, run commands, execute tests, analyze failures, and continue working until it reaches a solution.
Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering explores the technologies and engineering principles behind this new generation of autonomous software development systems.
This book takes readers beyond traditional AI coding assistants and into the architecture of coding agents. You will learn how LLM-powered agents reason about development tasks, break complex goals into smaller actions, use external tools, manage memory, retrieve relevant information, and evaluate their own results.
A major focus is placed on advanced prompt engineering and context design. Readers will discover how system instructions, task decomposition, structured outputs, retrieval, feedback loops, and verification strategies can dramatically improve the reliability of autonomous coding systems.
From single-agent workflows to collaborative multi-agent architectures, the book provides a practical framework for building AI systems capable of performing meaningful software engineering tasks.
You will also explore testing, security, observability, failure recovery, and human oversight critical components for moving agentic coding from impressive demonstrations to dependable engineering tools.
For developers, AI engineers, and builders preparing for the next era of software development, this book provides the knowledge needed to design, build, and control autonomous coding systems powered by Large Language Models
"synopsis" may belong to another edition of this title.
Search results for Agentic Coding with LLMs: Build Autonomous Software...
Stock Image
Agentic Coding with LLMs (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. What happens when an AI system can do more than generate a function?It can inspect a repository, understand a development task, create a plan, modify multiple files, run commands, execute tests, analyze failures, and continue working until it reaches a solution.Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering explores the technologies and engineering principles behind this new generation of autonomous software development systems.This book takes readers beyond traditional AI coding assistants and into the architecture of coding agents. You will learn how LLM-powered agents reason about development tasks, break complex goals into smaller actions, use external tools, manage memory, retrieve relevant information, and evaluate their own results.A major focus is placed on advanced prompt engineering and context design. Readers will discover how system instructions, task decomposition, structured outputs, retrieval, feedback loops, and verification strategies can dramatically improve the reliability of autonomous coding systems.From single-agent workflows to collaborative multi-agent architectures, the book provides a practical framework for building AI systems capable of performing meaningful software engineering tasks.You will also explore testing, security, observability, failure recovery, and human oversight critical components for moving agentic coding from impressive demonstrations to dependable engineering tools.For developers, AI engineers, and builders preparing for the next era of software development, this book provides the knowledge needed to design, build, and control autonomous coding systems powered by Large Language Models This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798172476297
Stock Image
Agentic Coding with LLMs
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798172476297
Stock Image
Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering (The AI-Powered Developer Series)
Print on DemandSeller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # I-9798172476297
Stock Image
Agentic Coding with LLMs
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798172476297
Buy New
£ 16.92
£ 4.16 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Agentic Coding with LLMs (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. What happens when an AI system can do more than generate a function?It can inspect a repository, understand a development task, create a plan, modify multiple files, run commands, execute tests, analyze failures, and continue working until it reaches a solution.Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering explores the technologies and engineering principles behind this new generation of autonomous software development systems.This book takes readers beyond traditional AI coding assistants and into the architecture of coding agents. You will learn how LLM-powered agents reason about development tasks, break complex goals into smaller actions, use external tools, manage memory, retrieve relevant information, and evaluate their own results.A major focus is placed on advanced prompt engineering and context design. Readers will discover how system instructions, task decomposition, structured outputs, retrieval, feedback loops, and verification strategies can dramatically improve the reliability of autonomous coding systems.From single-agent workflows to collaborative multi-agent architectures, the book provides a practical framework for building AI systems capable of performing meaningful software engineering tasks.You will also explore testing, security, observability, failure recovery, and human oversight critical components for moving agentic coding from impressive demonstrations to dependable engineering tools.For developers, AI engineers, and builders preparing for the next era of software development, this book provides the knowledge needed to design, build, and control autonomous coding systems powered by Large Language Models This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798172476297
Buy New
£ 20.49
£ 37 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
Agentic Coding with LLMs : Build Autonomous Software with Generative AI and Advanced Prompt Engineering
Published by
Amazon Digital Services LLC - Kdp Sep 2026, 2026
ISBN 13: 9798172476297
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware - What happens when an AI system can do more than generate a function It can inspect a repository, understand a development task, create a plan, modify multiple files, run commands, execute tests, analyze failures, and continue working until it reaches a solution.Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering explores the technologies and engineering principles behind this new generation of autonomous software development systems.This book takes readers beyond traditional AI coding assistants and into the architecture of coding agents. You will learn how LLM-powered agents reason about development tasks, break complex goals into smaller actions, use external tools, manage memory, retrieve relevant information, and evaluate their own results.A major focus is placed on advanced prompt engineering and context design. Readers will discover how system instructions, task decomposition, structured outputs, retrieval, feedback loops, and verification strategies can dramatically improve the reliability of autonomous coding systems.From single-agent workflows to collaborative multi-agent architectures, the book provides a practical framework for building AI systems capable of performing meaningful software engineering tasks.You will also explore testing, security, observability, failure recovery, and human oversight critical components for moving agentic coding from impressive demonstrations to dependable engineering tools.For developers, AI engineers, and builders preparing for the next era of software development, this book provides the knowledge needed to design, build, and control autonomous coding systems powered by Large Language Models. Seller Inventory # 9798172476297