# 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.

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- Market: US
- Language: en-US
- Currency: USD
- Category: Books, Music & Hobbies &gt; Books, Music & Movies &gt; Books & Comics
- Price: 37.99 USD
- Previous price: 49.99 USD
- Discount: 24%
- Price checked: 2026-11-14T05:50:07.551Z
- Rating: 4.5 / 5
- Reviews: 10

Prices and deal status are the latest recorded data, not a guarantee of availability. Confirm the price and availability with the store.

## 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.

## 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.

## 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

## 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 feedback

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.

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## Images

![AI-Augmented Domain-Driven Design: LLMs, Prompts and Multi-Agent Workflows — 1](https://best-deals.pro/i/ZZ6w8-60xr8lQcqEEsmZ_B-4kYNS38zno89YswxWdro8KW9bZUWsVVEqCNBlnxnmYuV1xCTiObXayD_X4atLO4zruEv9HKwWxeh4CbSc63kKxa3TwYX8.jpg)
