Specdriven Development By Martinelli, Simon
Specdriven Development By Martinelli, Simon
Regular price
£21.53
Sale price
£21.53
Regular price
Tax included.
Shipping calculated at checkout.
-
Estimated delivery: Oct 15 - Oct 19
Quick, only 1 item left in stock!
Couldn't load pickup availability
Sold and shipped by SpeedyHen
Payment & Security
Payment methods
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
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 LearnCapture requirements in lightweight specsTreat specs as executable contracts for code generation and testing Apply the AI Unified Process to projects and team workflowsIntegrate AI agents into a spec-driven lifecyceWho 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.

