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Systematically engineer with AI, from design to production.
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AI-Native Software Engineering

Building with AI Agents and Spec-Driven Development

$106.44

  • Paperback

    300 pages

  • Release Date

    28 February 2027

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Summary

Most engineers still use AI tools ad hoc, individually, without shared standards. The result is inconsistent output, quality gaps in production, and a growing sense that the role itself is shifting faster than the profession has answers for. If you’re ready to move beyond just using AI to write code, Learning AI-Native Software Engineering by Alfonso Graziano provides the framework to work with AI systematically, across a full development lifecycle and a whole team.

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Book Details

ISBN-13:9798341674738
Author:Alfonso Graziano
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:300
Release Date:28 February 2027
Dimensions:178mm x 233mm
A-Format
B-Format
AI-Native Software Engineering by Alfonso Graziano - ISBN: 9798341674738
178 × 233 mm
C-Format
A4
mm / in
About The Author

Alfonso Graziano

Alfonso Graziano is a hands-on AI Tech Lead at Nearform who builds AI agents and uses edge AI tools in production every day. He is driving the adoption of AI-Native Engineering across his company’s entire engineering department, helping teams move from ad-hoc AI use to structured, production-ready workflows.

Alfonso built an MCP server for Node.js that has over 100,000 downloads on Docker Hub, giving developers a practical way to integrate AI into their environments. He has several years of experience and has delivered more than 20 conference talks across Europe on topics such as career development, deep tech topics, and AI.

He is active in the community, where he shares practical insights on AI and software engineering. Based in Italy, Alfonso writes and speaks from the perspective of someone who ships AI-powered systems, designs agent workflows, and coaches teams on AI-Native Engineering, making him uniquely positioned to write a book that bridges theory and production practice for professional engineers.

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