Product guide

Generative AI for Software Developers

Generative AI for Software Developers is a practical book about applying generative AI across software engineering workflows. Its listed topics include AI-assisted coding, debugging, testing, documentation, deployment, prompt engineering, fine-tuning, and application architecture, with examples involving GitHub Copilot, Amazon Q Developer, and OpenAI APIs.

At a glance

Addresses AI use across coding, debugging, testing, documentation, deployment, and system design.
Covers prompt engineering, fine-tuning, SDLC integration, and GenAI application architecture.
The listing names GitHub Copilot, Amazon Q Developer, and OpenAI APIs, and also mentions other platforms and tools.
The chapter outline includes agentic AI, application design, and a hands-on application-building guide.

Price

$28.99Save 47%

Reference price: ~~$54.99~~

Price checked: Nov 14, 2026

View offer Ahead of Black FridayExplore the selection

Often bought together

AI Engineering: Building Applications with Foundation Models

$45.99

The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems

$37.80

Pros and cons

Pros

Broad coverage connects developer-assistance tools with later stages such as testing, deployment, and scaling applications.
The listed hands-on projects and examples may help readers move beyond introductory GenAI concepts toward practical workflows.
Includes topics relevant to both individual coding tasks and architecture-level decisions.

Technical specifications

8 specifications

Book details
Publisher	Packt Publishing
Publication date	October 10, 2025
Language	English
Print length	454 pages
ISBN-13	978-1806671199
ISBN-10	1806671190

Dimensions and installation
Weight listed	1.71 pounds
Dimensions	7.5 x 1.03 x 9.25 inches

Who is it for?

A good fit for

Software developers and engineers looking to explore GenAI-assisted coding and SDLC workflows.
Solutions architects interested in GenAI application architecture, scaling, and deployment.
Readers seeking an introduction that spans prompting, coding tools, and application-building projects.

Less suited to

Readers looking only for a reference to one specific coding assistant or programming language.
Readers who need a narrowly focused guide to one framework, API, or tool rather than broad GenAI coverage.

Customer reviews on Amazon

4.7 / 5 · 27 ratings

5 stars86%86%
4 stars7%7%
3 stars0%0%
2 stars3%3%
1 star4%4%

Aggregate customer ratings are strongly positive overall, though a small share are low-star ratings. This offers a favorable but limited signal about the book, not evidence about particular strengths, criticisms, or how well its examples suit a specific reader.

Frequently asked questions

What software-development topics does the book cover?

The listing describes coverage of AI-assisted coding, debugging, testing, documentation, deployment, system design, and integration into the software development lifecycle.

Which tools are named in the listing?

GitHub Copilot, Amazon Q Developer, and OpenAI APIs are named in the main description. Other listing copy also mentions tools and platforms including Amazon Nova, ChatGPT, Claude, and Gemini.

Is the book described as hands-on?

Yes. The listing says it includes guided projects, practical prompts, coding challenges, and end-to-end GenAI application work.

What are the listed book details?

The listing gives Packt Publishing as the publisher, English as the language, a print length of 454 pages, and a publication date of October 10, 2025.