Practicing agile theory

Practical insights on prototyping, experimentation, and trust - in the age of AI. Key Insights Vibe coding is becoming an essential skill for Product Managers , with applications ranging from quick prototyping to debugging and connecting tools. The chaotic rollout of GPT-5 highlights how vital empathy , openness , and careful execution are for sustaining user trust in product management. True experimentation isn’t just about tools or tests—it flourishes in ethical, data-driven cultures that value curiosity and continuous learning. There’s an AI Enthusiasm Paradox : beginners often show more excitement, while experts approach AI with greater caution. Developing AI features requires consistent practices such as guardrails , ongoing evaluation, and breaking down knowledge silos. For creatives, two paths emerge: either “walk away” to focus on slower, deeper work, or “dance” by leveraging AI tools for amplified impact. Overdependence on AI tools risks weakening le...

"90% done."  The three most dangerous words in tech. We've all been there! The team grinds for six weeks. Energy is high. Progress charts look great. Then comes the big reveal, only to hear, "This isn't quite what I had in mind." Suddenly, that 90% feels more like 10%. The frustration is crushing. What went wrong? It wasn't a lack of effort. It was a lack of feedback. The project's most critical test—"Did we build the right thing?"—was saved for the very end. This is a broken pattern. Testing isn't a final phase you tack on; it's a continuous conversation that should start on day one. It's a whole-team activity, not just a QA function. A truly robust test strategy, as seen in Continuous Delivery, isn't just about automated unit and integration tests. It also includes crucial business-facing checks like usability testing, showcases, and exploratory sessions. It answers two questions constantly: "Are we building it right?...