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Indigo AI-Native Software Delivery: Proven Practices to Produce High-Quality Software Faster | Erin Mills Town Centre
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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.
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.
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