By Henry Suryawirawan
Great technical leadership requires more than just great coding skills. It requires a variety of other skills that are not well-defined, and they are not something that we can fully learn in any school or book. Hear from experienced technical leaders sharing their journey and philosophy for building great technical teams and achieving technical excellence. Find out what makes them great and how to apply those lessons to your work and team.
Are you making critical decisions without consulting AI? In this episode, Greg Shove, CEO of Section, argues it's now irresponsible for any leader to make high-stakes decisions without talking to AI first. He shares how AI allows us to jump capability boundaries and do things we simply couldn't do before.
Why do organizations constantly complain about having too much technical debt? In this episode, Dr. Andrew Brown reveals why technical debt isn't actually a technical problem, but it's a trade-off problem rooted in human bias, organizational systems, and economic incentives.
Why does an AI that brilliantly generates code suddenly fail at basic math? In this episode, Emmanuel Maggiori, author of “Smart Until It's Dumb” and “The AI Pocket Book,” cuts through the AI hype to reveal what LLMs actually do and, more importantly, what they can't.
Can decades-old management philosophy actually help us tackle AI's biggest challenges? In this episode, John Willis, a foundational figure in the DevOps movement, takes us through Dr. W. Edwards Deming's System of Profound Knowledge and its surprising relevance to today's most pressing challenges.
In this episode, Honey Mittal, CEO of Locofy.ai, reveals how Locofy's Large Design Models are revolutionizing front-end development by converting Figma designs into production code in seconds. Learn why LLMs fail at design-to-code and why design engineers are the future of software development.
Can you navigate AI disruption without understanding your landscape? In this episode, Simon Wardley, creator of Wardley Mapping, explains how to build true situational awareness in your organization and shares what leaders need to know about AI adoption beyond the current hype.
How much of your code exists only to prevent failures? In this episode, Preeti Somal, SVP at Temporal, explores Temporal's durable execution paradigm for building reliable applications. She also discusses key findings from Temporal’s first State of Development Report.
Is your AI investment paying off? Many leaders struggle to see real ROI beyond the hype. In this episode, Laura Tacho, CTO of DX, introduces DX’s new AI Measurement Framework™ with its three critical dimensions: utilization, impact, and cost.
Why do so many developers have a love-hate relationship with ORM? In this episode, Gavin King, the creator of Hibernate, reveals the real reasons behind the controversy and what's being done to fix the fundamental issues.
Are long code review cycles killing your engineering team's velocity? Learn how top engineering teams are shipping code faster without sacrificing quality. In this episode, Greg Foster, CTO and co-founder of Graphite, discusses the evolution of code review practices and the benefits of stacked PRs.
