Tag: AI-DLC
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The Conversation This Book Is Really About
Over the past year, I’ve had the same conversation with at least thirty CTOs and VPs of Engineering. The setting changes: a conference hallway, a video call, a dinner after a workshop. The words change. But the conversation is always the same. It starts with a number. “Our developers are 40% more productive.” Or 30%.…
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I Wrote a Book: Reimagine, Don’t Retrofit
I’ve been building software since I was fourteen, when I sold my first software product. Nearly three decades later, having risen through consulting and architecture roles, co-founded companies, and eventually become a CTO responsible for the delivery strategy of hundreds of cloud projects across Latin America, one pattern has stayed constant. Every major platform shift…
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Why AI Fails on Your Existing Codebase: The Case for Code Elevation
A few weeks ago, a team I was advising tried something that sounded perfectly reasonable. They had an existing e-commerce platform, about five years old, built as a modular monolith with a few extracted microservices. The business wanted a recommendation engine integrated into the product catalog. The team had been using AI coding assistants for…
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The Developer’s New Role: What Happens When AI Drives the Conversation
Last month, I was facilitating a Mob Elaboration session with a development team at a company going through its first AI-DLC adoption cycle. The Product Owner had stated the intent: a new feature for their customer onboarding flow. Within minutes, the AI had generated an initial set of user stories, acceptance criteria, and a proposed…
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Reimagine, Don’t Retrofit: Why AI Needs a New Development Lifecycle
A few months ago, I sat in on a retrospective with a development team at a mid-sized financial services company. They had adopted AI coding assistants six months earlier. The mood was… complicated. On one hand, individual developers were writing code faster than ever. On the other, the team’s sprint velocity metric had become meaningless.…
