Product guide

AI-Augmented Domain-Driven Design: LLMs, Prompts and Multi-Agent Workflows

Multi-Agent: AI-Augmented Domain-Driven Design is a software architecture book about applying LLMs and AI agents to DDD workflows while keeping architectural judgment with people. It covers structured prompts, rulebooks, EventStorming, domain modeling and agent orchestration, with familiarity in DDD fundamentals expected.

At a glance

Uses LLMs as structured reasoning partners for domain modeling rather than delegating architecture decisions to AI.
Explores prompt engineering, rulebooks and iterative refinement for domain events, commands, aggregates and bounded contexts.
Covers EventStorming, domain discovery, context mapping and multi-agent workflows.
The contents progress from LLM reasoning and prompts to specialized agents and orchestration.

Price

$37.99Save 24%

Reference price: ~~$49.99~~

Price checked: Nov 14, 2026

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Pros and cons

Pros

Combines DDD topics with practical themes such as structured prompts, rulebooks and agent coordination.
Includes EventStorming and domain elements such as aggregates, events and bounded contexts.
No prior AI expertise is required according to the book description.

Cons

Readers are expected to already understand software architecture and DDD fundamentals.
The material focuses on applying AI within DDD practice, not establishing core DDD knowledge from scratch.

Technical specifications

9 specifications

Publication details
Publisher	Packt Publishing
Publication date	September 29, 2026
Edition	1st
Language	English
Print length	308 pages
ISBN-13	978-1807421052
ISBN-10	1807421058

Dimensions and installation
Weight listed	1.17 pounds
Dimensions	7.5 x 0.7 x 9.25 inches

Who is it for?

A good fit for

Software developers, architects and technical leaders working on complex business systems.
Readers familiar with bounded contexts, aggregates, domain events and domain modeling who want to explore LLM-assisted workflows.

Less suited to

Readers seeking an introductory guide to DDD fundamentals.
Readers looking primarily for general AI or LLM theory rather than software architecture workflows.

Customer reviews on Amazon

4.5 / 5 · 10 ratings

5 stars64%64%
4 stars23%23%
3 stars13%13%
2 stars0%0%
1 star0%0%

Aggregate ratings lean positive, with five-star ratings forming the largest group, while some three-star ratings indicate less favorable experiences are also represented. The sample is limited and no written review summaries are supplied, so it cannot show whether readers found the DDD workflows useful in practice.

Frequently asked questions

Does this book teach Domain-Driven Design from the beginning?

The listing expects familiarity with DDD concepts such as bounded contexts, aggregates, domain events and domain modeling. It focuses on extending DDD practice with AI.

What AI topics does the book cover?

It describes structured prompting, rulebooks, AI-assisted domain modeling, agents for discovery and context mapping, and coordinating multi-agent workflows.

Does the book assume previous AI expertise?

The description says prior AI expertise is not required, though interest in LLMs, prompt engineering and AI-assisted reasoning may help.

How long is the listed edition?

The listing gives a print length of 308 pages for the 1st edition.