Organizational honesty starts with information: can your team actually see what's happening, and can they say it without fear of pushback? Dave and Peter dig into why teams shade the truth when a deadline is on the line, and what actually creates room for honesty instead. They talk about the difference between activity data and real information, why cheap, near real-time visual management beats a hand-curated status report, and why the structure of a status meeting decides whether bad news ge...

AI is making it faster and cheaper to ship features. That doesn't mean you should ship more of them at once. Peter and Dave dig into a pattern they're both starting to see: organizations using AI-assisted development as a reason to bring back big upfront planning and large project releases. The logic makes a certain kind of sense. If AI can build faster, why not design bigger? But that reasoning skips the part that actually mattered when teams moved to product delivery in the first place: val...

Tommy Cotter is Director of Data Products at Benzinga, a financial media company building the data infrastructure that sits behind trading platforms and investment apps used by millions of people daily. He's been navigating the shift to AI-assisted workflows in a space where speed and accuracy aren't just nice to have - getting it wrong has real consequences. In this episode, Peter and Dave talk with Tommy about what it actually looks like to build data products responsibly in a fast-moving A...

Royce Sin spent a decade at HSBC automating things nobody asked him to automate. He didn't ask for permission. He just did it, showed people the results, and let the time savings speak for itself. That instinct, to question why things are done a certain way and then actually do something about it, is what eventually led him into the AI space. In this episode, Peter and Dave sit down with Royce Sin to talk about what it actually takes for AI to stick inside an organization. Spoiler: it's not a...

As AI handles more of the foundational work, entry-level engineering roles are disappearing. Peter Maddison and Dave Sharrock examine why that trend is short-sighted, what junior developers actually contribute to team growth and AI adoption, and how organizations that skip early-career hiring may be trading long-term capability for short-term convenience. This week's takeaways: Labeling the next generation as lazy or unprepared is as old as recorded history. Don't let that bias drive hiring d...

Conference season is back, and so are the real conversations. In this episode, Peter Maddison and Dave Sharrock catch up after a busy stretch of travel and dig into something Dave has been road-testing at conferences: why most people given access to AI tools freeze up, and what actually helps them move past that. Dave ran a workshop at the Global Scrum Gathering in Vancouver for non-technical roles - product managers, Scrum Masters, agile coaches - people who've been told "use AI" but have no...

Most organizations think they're doing AI. They've bought the licenses, rolled out the tools, and told the team to start using Copilot. But adding AI on top of a 40-year-old process isn't transformation. It's decoration. Andre Kaminski, Director of Advanced Technology Solutions at WorkSafeBC and author of "The AI-Native Software Development Lifecycle," joins Peter and Dave to talk about what it actually means to rebuild your delivery process around AI, not just bolt it on. They ...

Agreeing on an idea doesn't mean you both understood the same thing. Dave Sharrock and Peter Maddison dig into why shared context breaks down in practice, and how AI makes that problem harder to ignore. This week's takeaways: Intent is always imperfect. Define how you'll validate it, not just what it is.Ambiguity in context isn't a bug. It's necessary. Validation is how you confirm you're aligned.Drive down the cost of validation, not just the cost of building.If this landed, share it with so...

It doesn't happen all at once. A great idea comes out of a strategy session. Someone turns it into a PowerPoint. Another person summarizes that PowerPoint with AI. By the time it reaches the team building it, the sharp edges are gone and nobody quite remembers what made the idea worth pursuing in the first place. Peter and Dave dig into a problem that's older than AI but getting harder to ignore. How does intent get lost as it travels through layers of people, tools, and artifacts? What does ...

Most organizations think they have a capacity problem. They usually don't. What they have is a work-in-progress problem. And those two things call for very different solutions. In this episode, Peter Maddison and Dave Sharrock dig into one of the most persistent headaches in organizational management: capacity tracking. Why does the instinct to measure utilization backfire? Why does loading people up to 100% actually slow things down? And what should leaders be asking instead? The conversatio...