Agile Software Engineering

Alessandro

This podcast explores how craftsmanship, architecture, engineering rigor, and organizational practices come together in modern R&D environments. Each edition refines and deepens my earlier reflections, building a coherent and evolving body of knowledge around Agile Software Engineering 

Episodes

  1. The Human AI Detector

    6 DAYS AGO

    The Human AI Detector

    SPECIAL EDITION! “THE HUMAN AI DETECTORS - And Other Familiar Enemies of Progress” Today’s post is a little different from my usual deep dives into engineering culture, architecture, and leadership. This one is a Special Commentary Edition - because sometimes the funniest (and most revealing) lessons about modern work come from outside the codebase. We’ve all lived through the same old warnings: 🧮 “Calculators will make you forget math.” 📱 “SMS will make you forget grammar.” 👥 “Social media will destroy real friendships.” And now the 2025 classic: 🤖 “AI will make your brain stop working.” Meanwhile, anyone who has actually used an LLM knows the opposite is true: 👉 AI is a productivity multiplier. But here’s where the story gets interesting… There’s a growing group I call THE HUMAN AI DETECTORS - often in recruiting and headhunting - who live in a perfect paradox: “We help you improve your LinkedIn with AI!” …but also… “We reject applications if they used AI!” It’s like telling a finance candidate not to use Excel, an engineer not to use CAD, or a driver not to use power steering because “real drivers use muscle.” In this commentary piece, I explore why this mindset exists, why it’s flawed, and what it reveals about our relationship to technology, truth, and talent. This one is humorous - but with a serious message underneath. 👉 Read the full Special Commentary Edition here: THE HUMAN AI DETECTORS - And Other Familiar Enemies of Progress

    13 min

About

This podcast explores how craftsmanship, architecture, engineering rigor, and organizational practices come together in modern R&D environments. Each edition refines and deepens my earlier reflections, building a coherent and evolving body of knowledge around Agile Software Engineering