The Stack Overflow podcast is a weekly conversation about working in software development, learning to code, and the art and culture of computer programming. Hosted by Sara Chipps, Paul Ford, and Ben Popper, the series will feature questions from our community, interviews with fascinating guests, and hot takes on what’s happening in tech.
About Stack Overflow
Founded in 2008, Stack Overflow is the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. More than 50 million professional and aspiring programmers visit Stack Overflow each month to help solve coding problems, develop new skills, and find job opportunities.
Episodes with Smash Notes
This week we chat with Max Horstmann, a software developer at Stack Overflow. He details our company's experience setting up a Kubernetes cluster, turning that into a managed service through cloud providers, and more recently, using Kubernetes to host what we call PR Environments. Based on this, Max argues that Kubernetes is no longer too challenging for startups to consider using early on.
We chat with Philippe Beaudette, our new VP of community, about his experiences building and nurturing great online communities.
This week we chat with Tara Reddy and Sam Weekes, the co-founders of Loveshark, a mobile gaming company. They describe the company as a team of creative, kind, and slightly quirky people who are building the future of social games. They use technologies like augmented reality and computer vision to create weird and wonderful things.
We chat with Paul Ford and Cassidy Williams about the experience of using GitHub Copilot, an AI system that writes code for you. It was trained on millions of lines of code written by humans, but how close does it come to a living, breathing programmer? Well, if you're looking for regex, meet your new best friend.
On this episode we chat with Samuel Simões, the developer behind Poker Now. Simões created the project so he an his friends could play poker during the pandemic lockdown. It became such a success, growing 100X, that he left his job building hospital management software and is now focused on trying to make a living as the sole author and architect of Poker Now.
This is part 2 of an episode we recorded live on a platform called Fishbowl. In the second half, we took questions from the audience, and ended up offering a lot of advice to folks who aren't technical but have to work regularly with developers. We discuss how to communicate with your engineering team, why you might be getting some rather negative vibes from them, and how to improve the rapport.
This episode we're presenting something a little different: a recording of a live show streamed on a platform called Fishbowl. We talk about developer tools and workflows taking over across a wide swathe of disciplines and industries. We also take questions and chat with audience members from Google and several startups.
We chat with Richard Bailey and Kelly Cho. Bailey leads the AR Experiences team at Niantic and Cho is a software engineer on the AR Experiences team.
We chat with Glen Coates, VP of Product at Shopify Core, about some of the announcements the ecommerce giant made this week. Shopify is aiming to hire 2,021 developers in 2021, and as part of opening up their platform and making it more appealing, they introduced a number of new options for creating stores, themes, and apps on their platform.
We chat with Adam Lear, staff software engineer at Stack Overflow, about the evolution of our company's approach to product development over the last decade. Also discussed: anti-patterns, documentation, developer profiles, and tokenizing reputation.
This week we launched Collectives on Stack Overflow. It empowers the organizations connected to certain technologies to more directly support the communities that have grown around various topics, bolstering the quality and health of our content in a way that benefits our users as well. In this episode we chat with our CTO, Teresa Dietrich, and Jascha Drel, a senior product manager, about how and why we built this product.
Today's episode is sponsored by Rev. We explore the history of automatic speech recognition and computer systems that can understand human commands. From there, we explain the machine learning revolution that has powered recent advancements in speech to text systems like the one employed by Rev. Finally, we look to the future, and imagine the features and services that the next generation of this AI could produce.