Название: AI-Native Software Delivery: Proven Practices to Produce High-Quality Software FasterАвтор: Nick Durkin, Eric Minick, Chinmay Gaikwad
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 257
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
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.
We wrote this book because the stakes of software delivery have changed. The rise of microservices, cloud-native architectures, and AI-generated code has rendered traditional DevOps 1.0 practices insufficient. Teams now juggle 10+ tools in a single pipeline, battle “dependency hell,” and face threats like SolarWinds-style supply chain attacks, all while racing to meet user expectations forged by consumer tech giants.
Existing resources focus on historical DevOps concepts or speculate about AI in abstract terms. This book connects the dots. Grounded in 25 years of lessons, from Agile’s early wins to the Kubernetes orchestration revolution, we pair technical rigor with forward-looking insights. Modern tools exemplify this shift. We show how AI isn’t just automating tasks but reshaping collaboration, governance, and innovation.
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.
Who Should Read This Book:
This book is written for:
• Engineers and DevOps practitioners, seeking to replace toil with intelligent automation
• Technical leaders, tasked with aligning DevOps maturity with business outcomes like velocity, resilience, and cost control
• Product managers and innovators, who want to understand how AI-native delivery accelerates time-to-value
• Anyone invested in the future of software, from CTOs to students, ready to rethink what’s possible in deployment, testing, and observability
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