AI makes it possible to generate code faster than teams can understand and support it. In this episode, Honeycomb cofounder and CTO Charity Majors joined Ben to discuss how that shift changes the work of building reliable software. Charity explained how observability helps teams connect changes with outcomes, why nondeterministic systems need “more rigor, not […]

Pete Warden has spent his career on the frontier of small, local AI, first as one of deep learning’s earliest engineers (he coined the term “TinyML”) and now as founder of Useful Sensors and Moonshine AI, where he builds voice models that run entirely on-device. Pete joined Ben to make the case that local AI […]

A typical apartment building generates data on everything from leaking toilet flappers to tenant demographics, yet most of the real estate industry still runs its analysis by hand in spreadsheets. Fundrise co-founder and RealAI CEO Ben Miller argues the missing piece isn’t a better AI model but a proprietary data layer that general-purpose tools can’t […]

The tech industry is measuring AI productivity all wrong, and Mozilla MLOps engineer and University of Chicago instructor Chelsea Troy makes a strong case for why. The real opportunity, she argues, isn’t shipping more code faster but finally having the bandwidth to run the experiments, tests, and simulations that engineering teams have always wanted to […]