Building Correct, Scalable Software Through Better Specifications
Buch, Englisch, Format (B × H): 155 mm x 235 mm
ISBN: 979-8-8688-3203-1
Verlag: APRESS L.P.
Most development teams have experimented with AI-generated code, only to encounter a familiar pattern and outputs that appear correct at first glance but fail to hold up under real-world scrutiny. These systems often miss domain nuances, overlook critical business rules, and produce APIs that unravel under expert review. The issue isn’t the model or the prompt—it’s the lack of strong, well-defined specifications. This book addresses this gap by combining artificial intelligence with Domain-Driven Design, showing how AI can enhance, not replace, rigorous design thinking. Through the Synergetic Blueprint, a structured approach that guides teams from business intent to fully functioning, tested, and documented software, the book positions AI as a collaborator that improves speed, consistency, and quality.
Grounded in real research, the book follows a running example, such as CookWithUs, a recipe-sharing platform that developed across multiple iterations, to demonstrate how richer domain artefacts lead to better AI outcomes. Across seventeen chapters, readers are taken through the complete software lifecycle, including North Star definition, Wardley Mapping, Domain Storytelling, EventStorming, Context Mapping, and Domain Modeling, culminating in EXACT Coding—a practical, test-driven workflow for AI-assisted implementation. With contributions from industry practitioners and a strong emphasis on real-world application, this book equips readers with a proven, end-to-end methodology for building reliable, domain-driven systems while keeping human expertise firmly at the center.
You Will:
- Learn to use the Synergetic Blueprint, a 12-step process from North Star to running software, as the structured context that makes AI output domain-coherent rather than generically plausible.
- Generate first-draft Wardley Maps and Capability Maps, seeding EventStorming sessions, proposing Context Map integration patterns, and deriving OpenAPI and AsyncAPI contracts from domain artefacts
- Build and maintain a living Ubiquitous Language with AI as a consistency guardian — detecting drift, flagging ambiguity, and keeping every artefact from Domain Story to API contract aligned
This book is for: Enterprise architects and Software architects
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1: The Synergetic Blueprint Revisited.- Chapter 2: AI as a Design Partner.- Chapter 3: Human-AI Collaboration Principles.- Chapter 4: North Star and Business Planning with AI.- Chapter 5: Mapping Capabilities Supported by AI.- Chapter 6: Domain Storytelling and AI.- Chapter 7: AI as Referee when Building the Ubiquitous Language.- Chapter 8: EventStorming with AI.- Chapter 9: AI-Augmented Event Modeling & API Journeys.- Chapter 10: Context Mapping Supported by AI.- Chapter 11: AI-Driven Architecture Decisions.- Chapter 12: Services, APIs, and the Bounded Context Canvas.- Chapter 13: Domain Model Co-creation with AI.- Chapter 14: AI-Enhanced REST API and Event Design.- Chapter 15: From Example Mapping to EXACT Coding.- Chapter 16: Service and Repository Implementation Using AI.- Chapter 17: Summary and Outlook.
