Category: AI

  • The Conversation This Book Is Really About

    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%.…

  • I Wrote a Book: Reimagine, Don’t Retrofit

    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…

  • Why AI Fails on Your Existing Codebase: The Case for Code Elevation

    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…

  • The Developer’s New Role: What Happens When AI Drives the Conversation

    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…

  • Reimagine, Don’t Retrofit: Why AI Needs a New Development Lifecycle

    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.…

  • The GenAI Governance Gap: Why Enterprise AI Initiatives Fail at Scale

    The GenAI Governance Gap: Why Enterprise AI Initiatives Fail at Scale

    Over the past two years, Generative AI has moved from experimentation to boardroom priority. Executives are no longer asking whether they should adopt GenAI, but how fast they can deploy it across the organization. Customer service copilots, internal knowledge assistants, automated document processing, developer productivity tools, and decision support systems are appearing everywhere. And yet,…

  • From Vibe Coding to Spec-Driven Development: The Next Leap in AI Software Engineering

    From Vibe Coding to Spec-Driven Development: The Next Leap in AI Software Engineering

    In my last post, “The Mismatch Between AI Code Assistants and Enterprise Software Development,” I talked about how coding assistants (despite their brilliance) often fail to align with enterprise reality. They generate code fast, but without context, structure, or shared understanding. The result? More rework, more debugging, and less trust. Today, I want to explore where…

  • The Mismatch Between AI Code Assistants and Enterprise Software Development

    The Mismatch Between AI Code Assistants and Enterprise Software Development

    Over the past few years, I’ve watched the explosion of AI-powered code assistants, tools that promise to revolutionize software development by helping teams write, debug, and optimize code faster than ever before. And yet, as I work with enterprise teams across industries, I see a growing paradox: while individual productivity might spike, overall team efficiency, code…

  • The Challenge of Responsible & Ethical AI in the Enterprise

    The Challenge of Responsible & Ethical AI in the Enterprise

    In almost 30 years in technology, from mechatronics engineering to leading digital transformation in banking, telco, healthcare and startups, and as a Microsoft MVP, Microsoft Regional Director and AWS Ambassador, I’ve witnessed and lived many waves of innovation. The current wave, driven by AI (and increasingly by Generative AI), is unlike the ones before. It’s…

  • Behind AI Scenes: From Design to Operation in the Enterprise

    Behind AI Scenes: From Design to Operation in the Enterprise

    Last week I had the privilege of speaking at the Cari AI Summit 2025, where I shared one of the topics I’m most passionate about: how AI truly moves from design to operation in the enterprise. As someone who has spent nearly three decades building and leading technology solutions across industries, from telco and banking…