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Agentic Spec-Driven Development: A Practical Method for Using AI to Build Complete Specifications for Software, Products, and Knowledge Work
Número do item: 230434995

Agentic Spec-Driven Development: A Practical Method for Using AI to Build Complete Specifications for Software, Products, and Knowledge Work

Número do item: 230434995

R$ 355

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Destaques do Produto

AI Specifications
Utilizes artificial intelligence to generate precise specifications, reducing manual effort and enhancing accuracy in documentation, making it ideal for software developers and product managers seeking efficiency.
Methodology Focus
Presents a practical framework for building comprehensive specifications, addressing common challenges in specification development, thus streamlining workflows in knowledge work and software projects.
Complete Coverage
Ensures thorough coverage of all aspects of product and software development needs, providing a reliable resource that minimizes misunderstandings and accelerates project timelines, ultimately delivering greater value.

Detalhes do produto

Compre Agentic Spec-Driven Development: A Practical Method for Using AI to online ao melhor preço no Ubuy Brasil. Obtenha ofertas exclusivas, descontos e opção de entrega rápida.
  • AI writes the code now — increasingly without your help. What makes or breaks the result is no longer the code — it's the specification.If you are a software engineer, the shift is already here: you write the spec, and an autonomous agent writes the code. Coding was only ever the surface of the profession. The real work underneath was always technical judgment: the architecture, the tech stack, performance under load, responsiveness, and adaptability to market shifts, new user behaviors, and business pivots. AI automates the coding, not the judgment.Apply your judgment as you go — reviewing the agent's output, approving or fixing it turn after turn — and you are doing vibe coding: you are the man in the middle, and the agent cannot take a step without you.Apply that judgment upfront instead, in the specification for the autonomous coding agent, and you are doing spec-driven development — the approach this book teaches.The spec is no longer the product manager's alone. To drive an autonomous agent, product and technical judgment have to be fused into a single spec — well beyond what a PRD ever held. It has to be complete and consistent, leave the agent no guesswork, and let both PMs and engineers live in it full-time.A specification like that is hard to create and harder still to maintain, and the old hand-written ways cannot keep up. No practical method has been formalized yet — only ideas and pointers. This book is that method, and it leans heavily on AI to do the bulk of the work, leaving you to do what you do best — exercise your professional judgment. There's no code in this book (leave that to AI), but there are plenty of prompts and rules.If you are a product manager, specs have always been your craft — and the shift that hit engineering changes how you practice it. You no longer toss a PRD over the wall; you co-author a single spec with your engineers, where product intent and technical judgment sit side by side. AI can do far more here than draft and summarize: with the techniques in this book, it does the heavy lifting of building and maintaining the spec, saving you hours every cycle. And because the engineering decisions are recorded right alongside yours, you can often change the end product without scheduling a single meeting with engineering. Shaping intent in precise language is already what you do, so you will feel right at home in the prompts this book describes.For every other kind of knowledge work, whatever you are building — a contract, a research paper, an RFP, a presentation, a book — the same shift is coming, even if you don't feel the pressure yet. If you are using AI only to wordsmith or draft one document at a time, you are leaving money on the table. Your deliverable can be built autonomously by AI, just like code — from the requirements you supply: the intent, the structure, the constraints. Those requirements are the spec — and the book shows you how to use AI to organize the process.
Publisher Independently published
Publication date May 21, 2026
Language English
Print length 264 pages
ISBN-13 979-8197990129
Item Weight 1.29 pounds (590 grams)
Dimensions 7.24 x 0.81 x 10.24 inches (18.4 x 2.1 x 26 cm)

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Generative AI Editorial Review

**** "Agentic Spec-Driven Development: A Practical Method for Using AI to Build Complete Specifications for Software, Products, and Knowledge Work" is garnering fantastic reception among readers who are navigating the complexities of using AI in their software development processes. Reviewers Consistently praise the book for its practical approach to harnessing AI effectively, emphasizing how it transforms AI from an unpredictable element into a valuable asset. The author, Anatoly Volkhover, is commended for distilling his extensive experience with AI into concise, accessible content. Readers appreciate the structured guidance provided in the book, which covers everything from foundational concepts to nuanced strategies, allowing them to communicate with AI more effectively and develop specifications that minimize risks of misunderstanding. The emphasis on adapting the methods to fit individual projects is another highlight, as it empowers readers to make their approaches more tailored and relevant to their contexts. While the book is acknowledged to be a substantial read, requiring time and focus to derive its full value, reviewers express that the investment pays off significantly. They foresee benefits for future projects after applying the principles learned. The informal, humorous writing style contributes to making complex topics more digestible, further enhancing the overall reading experience. Overall, "Agentic Spec-Driven Development" is recommended for anyone engaged in AI-assisted development, particularly those who want to deepen their understanding and improve their efficiency in crafting functional specifications. **

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Prós

  • Practical guidance for using AI in software specification.
  • Clear and concise explanations with practical examples.
  • Author's extensive AI experience adds credibility and depth.
  • Adaptable methods that cater to individual projects and teams.
  • Humorous and informal writing style makes complex topics accessible.
  • Provides a strong foundation for future projects.

Contras

  • Requires time and focus to fully grasp the concepts presented.

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