Stop Scaling Functions, Start Scaling the Journey with Sarah Clearwater

What If the Agent Gets Promoted? Joekub Joins Tech Waka

After three years, Joekub is back, and this time they brought a startup, an AI agent that writes project updates in five minutes, and some very uncomfortable questions about your career trajectory. Jakub and Joe (collectively: Joekub) reunite on Tech Waka for a wide-ranging conversation about what's actually happening at the coalface of AI-powered delivery. Joe left agile coaching to join an AI startup and hasn't looked back. Jakub is steering product and technology through the same wave from the C-suite. Between them, they've got enough delivery scar tissue to know when something is new and different. They cover why extreme programming turned out to be a prophecy rather than a methodology. Why the spec is more important than the code now. Why your AI agent might be sandbagging its own performance to protect team morale. And the question that no one in a sprint planning meeting wants to answer out loud: if the agent is outperforming the humans, who gets the bonus? Funny, honest, and grounded in real experience, this is what it sounds like when two people who've been around long enough to have opinions stop being polite about AI and just say what they think. This episode is sponsored by Wires Uncrossed [https://www.wiresuncrossed.co.nz/].

"Quit If Your CEO Isn't Using AI" with John-D Trask

JD Trask has been building global tech companies from Wellington since 2007, first Mindscape, then Raygun, now Autohive. When ChatGPT arrived, he didn't wait to see what happened. He shut down his company for a week, made every employee pass an engineering hiring test using AI, and started rebuilding his entire organisation around agents. In this episode, JD shares what he actually saw during that week, why he put TVs around the office showing each employee's token usage, and why he thinks the "AI makes mistakes" argument says more about the person making it than about AI. He also shares his AI economic maturity model, his take on headcount as an ego metric, and why the most important thing a CEO can do right now is get their hands dirty. Autohive: https://www.autohive.com/ [https://www.autohive.com/] Raygun: https://raygun.com/ [https://raygun.com/] This episode is sponsored by Wires Uncrossed - helping teams across New Zealand, Australia and beyond untangle software delivery and build systems that truly perform. wiresuncrossed.co.nz [https://www.wiresuncrossed.co.nz/]

27% More Productive or Just Working Weekends? The Real Impact of AI on Dev Teams with Lauren Peate

Lauren Peate and her team at Multitudes [https://www.multitudes.com/] spent 15 months researching how AI is actually impacting engineering teams, following 500+ developers, surveying hundreds of leaders, and conducting in-depth interviews. What they found challenges the hype: engineers merged 27% more PRs after AI rollouts, but also did 20% more out-of-hours work. The biggest predictor of success wasn't the tool , but it was leadership. In this episode, we dig into what separates successful AI rollouts from struggling ones, why peer-to-peer learning matters more than mandates, and what engineering leaders should actually be measuring. Get access to Lauren's research here: https://www.multitudes.com/research [https://www.multitudes.com/research] This episode is sponsored by Wires Uncrossed [https://www.wiresuncrossed.co.nz/].

What CTOs Need Help With - with Daniel Walters

Daniel Walters is a consultant, CTO coach, and former CTO of Seek Asia - one of Southeast Asia's largest job platforms. He is the founder of Great CTO, where he works with technology executives across New Zealand and beyond. He is also the co-creator of an AI-assisted engineering course, now running its eighth cohort. In this episode, we cover: * What drew Daniel from the operator role into coaching and consulting * How he defines the difference between coaching, mentoring, and consulting, and why it matters * The most common themes that come up when CTOs seek coaching support * Why experienced engineers often resist AI adoption, and how leaders can bridge that gap * The origin of the AI-assisted engineering course and what they have learned building it * Why a cohort-based, experiential format is the right container for this kind of learning Links * Daniel's website [https://greatcto.me/] * AI-assisted engineering course [https://hyprinnovation.io/training/from-assisted-to-agentic-ai-development]

Stop Scaling Functions, Start Scaling the Journey with Sarah Clearwater

Why are your teams busy, but the business isn't growing the way it should? Sarah Clearwater, founder of Reframer and customer experience strategist, explains how siloed KPIs create invisible dysfunction — marketing optimises for volume, sales for conversion, product for features, and engineering for delivery — while nobody is optimising for the customer journey as a whole. In this episode, we explore how customer journey mapping gives technology leaders a shared language for prioritisation, why engineers benefit from seeing how their work connects to real customer value, what "experience debt" is and why it might be the best way to get your executive team to care about tech debt, and how AI agents are changing journey design. Try it yourself: download Sarah's free 90-minute journey mapping template at https://www.reframr.co.nz/90minutemap [https://www.reframr.co.nz/90minutemap] This episode is sponsored by Wires Uncrossed [https://www.wiresuncrossed.co.nz/].