Spec driven development specs code di martinelli simon (2 risultati)
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Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 24,83
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
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- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 34,84
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 devel…opment 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 testingApply 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.
