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AI coding assistants are helping teams create software faster than ever. But to turn that speed into real innovation, organizations must go beyond writing code and deliver software quickly, securely, and reliably.
While AI-assisted coding is now mainstream, what happens after the code is written is still catching up.
AI-Native Software Delivery is your practical guide to applying AI across the entire delivery lifecycle, from commit to production and beyond.
Written for software engineers, DevOps leaders, and tech executives, this book explores how leading teams are using AI to streamline CI/CD, manage cloud costs, strengthen security, and eliminate operational toil. The book also uncovers the risks of brittle automation and shows you how to avoid building systems that don't scale.
You'll learn how to:
- Integrate AI across delivery workflows to accelerate time to value
- Avoid common pitfalls of fragmented automation strategies
- Adopt DevSecOps principles that scale with your team
- Apply real-world practices in AIOps, chaos engineering, and SRE
- Future-proof your delivery with intelligent pipelines and feedback loops
Whether you're evolving a legacy delivery process or designing a new platform, this guide will help you lead your organization into the AI-native future of software delivery.
About the author
Nick Durkin is Field CTO for Harness, with responsibility for the organization's worldwide field engineering team, post-sales engineering team, and a portion of the platform.
He previously held technical and executive roles at OverOps, DataTorrent, and Zelle (Early Warning), where he ran critical infrastructure for the United States government. He also served as lead architect on the Department of Homeland Security's Financial Institution--Verifying Identity Credential Service (FIVICS) initiative where he developed several patents for anti-fraud technologies, which are currently in use not only by the federal government but also by some of the world's largest financial institutions.
