你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering
Type
Physical Book
Publisher
Author
Language
English
Pages
144
Format
Paperback
ISBN13
9798172476297

Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering

Keiko Monroe (Author) · Independently Published · Paperback

Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering - Keiko Monroe

New Book Imported to Taiwan
Delivery: 04 Nov - 12 Nov Shipping: 6 to 7 business days.
NT$ 765
NT$ 765

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Agentic Coding with LLMs: Build Autonomous Software with Generative AI and Advanced Prompt Engineering"

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

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews