Definitely, Maybe Agile

Don't abandon Agile for AI. The real bottleneck isn't speed of delivery, it's organizational decision-making and clarity about value. Dave West, CEO of Scrum.org, warns that organizations adopting AI are making a critical mistake. They're abandoning foundational Agile practices, sprint planning, daily standups, retrospectives- under the assumption that AI's speed removes the need for those ceremonies. But Dave's seen this pattern repeatedly: when organizations get faster delivery tools...

The Scrum Master role hasn't disappeared. It's been diluted, pushed outside the organization, or absorbed into everyone's job description. Peter Maddison and Dave Sharrock dig into what's actually happened to the Scrum Master and agile coach role as AI reshapes how teams work. They trace how a role that once had real impact got watered down as two-day certifications flooded the market, and why the deeper value was never the role itself but the culture of continuous improvement it was meant t...

AI vendors are shifting from flat-fee pricing to consumption-based billing, and most organizations have no idea what their token spend is actually producing. Dave Sharrock and Peter Maddison break down what's driving the shift to AI token economics, why the old "$20 per user" budget model is breaking down, and why usage alone is the wrong thing to optimize for. They dig into the pattern showing up across organizations, where a small share of users account for half the token spend, and why cha...

Giving an AI agent real autonomy means accepting it will fail early and often before it gets good, the same curve organizations hit during any real change. Peter Maddison brings a stuck OAuth problem to the table: an AI agent that kept going in circles and couldn't find its way through. That leads into a conversation from Dave Sharrock's local AI meetup about an AlphaGo-style approach to AI agent autonomy: instead of specifying every step, you define hard constraints and let the model work o...

AI can write code faster than ever, but Peter Maddison and Dave Sharrock argue that coding was never the actual bottleneck in software delivery. In this conversation about AI software delivery, Peter and Dave dig into why faster coding hasn't solved the two problems that always mattered: knowing whether what you built is actually valuable, and knowing what to build in the first place. They connect this back to sprint length, arguing it was never set by how hard the coding is, but by how fast...