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Take advantage of this pre-sale
portada Spec-Driven Development: From Specs to Code with AI Agents
Type
Physical Book
Publisher
Year
2026
Language
English
Format
Paperback
Dimensions
23.5x15.5 cm
ISBN13
9798868828508

Spec-Driven Development: From Specs to Code with AI Agents

Simon Martinelli (Author) · Apress · Paperback

Spec-Driven Development: From Specs to Code with AI Agents - Simon Martinelli

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Synopsis "Spec-Driven Development: From Specs to Code with AI Agents"

Start your development process with a blueprint. Most teams jump into coding and leave documentation for later, if at all. Too often this leads to maintenance issues, stalled modernization, and poor business alignment. Spec-driven development flips the order: the specification becomes the single source of truth that drives code, tests, and validation.


This pocket guide introduces the AI Unified Process, a lightweight framework that makes Spec-driven development practical in the age of generative AI. It shows how specs (requirements, use cases, entity models) can act as contracts, enabling AI agents and modern tools to generate, validate, and evolve software with far less guesswork.


Designed for busy teams, this book focuses on the principles of spec-first development, with AI Unified Process skills and templates as the primary enabler. It also introduces emerging tools like Amazon Kiro and GitHub Spec Kit for context. Alongside practical methodology, you’ll work through a hands-on case study that takes you from requirements to executable code. By the end, you’ll understand how to apply Spec-driven Development in practice, avoid common pitfalls, and integrate AI into a disciplined, scalable workflow.


What You Will Learn



Capture requirements in lightweight specs
Treat specs as executable contracts for code generation and testing
 Apply the AI Unified Process to projects and team workflows
Integrate AI agents into a spec-driven lifecyce

Who this Book is for: 
Software developers, tech leads, and architects with basic programming knowledge. No prior experience with requirements engineering or AI tools is required.

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