AI may not kill Agile, but it could kill a lot of what we’ve come to call Agile. Think about the machinery many software organizations have built around development: -Two-week sprints. -Backlog refinement. -Story pointing. -Sprint planning. -Capacity planning. -Daily standups. -Sprint reviews. -Release planning. Much of it exists to manage a fundamental constraint: Software takes time to build. Engineering capacity is scarce, so we break work into small pieces, estimate it, prioritize it,...

For a long time, product accountability has often boiled down to one question: “Did you deliver what you said you would deliver, when you said you would deliver it?” AI is going to make that definition increasingly inadequate. As the cost and time required to build software fall, shipping becomes a weaker proxy for product performance. A team can ship faster than ever — and still invest in the wrong things. So what should product teams be accountable for? I think we're going to see more...

For years, long after the transition from waterfall to agile, many product roadmaps have essentially been contracts: -Feature X in Q2. -Feature Y in Q3. -Feature Z by year-end. That model was already problematic. AI-native development is making it increasingly untenable. When teams can prototype, test, build and iterate dramatically faster, the question becomes less: “When will you deliver the features you promised?” And more: “What are we trying to accomplish, what have we learned, and what...