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Architecture at Machine Speed
Building Go Systems That Humans and AI Can Safely Change
This book is 10% completeLast updated on 2026-09-07
AI can write code at machine speed. Can your architecture keep up?
Architecture at Machine Speed shows how to build Go systems that remain coherent as humans and AI agents change them at unprecedented velocity. Through a real-world application built from the ground up, you'll learn to turn architectural intent into explicit boundaries, enforceable constraints, and automated safeguards—because when code becomes abundant, coherence becomes the scarce resource.
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About the Book
Architecture at Machine Speed explores how software architecture must evolve when AI can generate code faster than humans can reasonably review it. Using Go and a progressively developed portfolio-management system called Atlas, the book shows how explicit boundaries, domain models, dependency rules, tests, and machine-enforceable constraints keep rapidly changing systems coherent.
Rather than treating AI as a separate topic, the book integrates AI-assisted and agentic development throughout the engineering process. Readers learn not only how to build clean, maintainable Go systems, but how to design architectures that both humans and AI agents can safely understand and change. The central premise is simple: when implementation becomes abundant, architectural coherence becomes scarce.
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Nathan B. Crocker
Nathan B. Crocker is Co-Founder and CTO of Checker, where he builds technology for institutional digital-asset markets. Previously, he served as Managing Director and Global Head of Core Systems at Galaxy Digital. He is the author of AI-Powered Developer (Manning) and has spent his career building financial, distributed, and cloud systems. His interests include Go, software architecture, distributed systems, production engineering, and AI-assisted and agentic software development.
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