The Stack Overflow Podcast

Ryan welcomes Bryan O’Grady, Head of Field Research and Solutions Architecture at Qdrant, to discuss the differences between traditional text search engines powered by Lucene and modern vector databases, when vector search’s exact-match needs work for things like logs and security analytics and when semantic search works for user-facing discovery and non-exact results, and how Qdrant is growing into video embeddings and local-agent contexts. Episode notes: Qdrant offers high-performance vector search at scale with any deployment model.Connect with Brian on LinkedIn or email the Qdrant team at support@qdrant.io. Congratulations to user Brad Larson for winning a Populist badge for their answer to Find the tangent of a point on a cubic bezier curve.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan is joined by Nancy Wang, CTO of 1Password, to discuss the security challenges local agents present, how enterprises can create robust governance of credentials through zero-knowledge architecture, and the implications of agent intent and misuse in a world where AI agents are becoming more and more integrated into everyday applications.Episode notes: 1Password keeps your credentials secure through end-to-end encryption, zero-knowledge architecture, and more. Read their latest white paper on security design. Connect with Nancy on LinkedIn or email her at nancy.wang@1password.com. Congratulations to user Binita Bharati for winning a Populist badge for their answer to How to know the version of currently installed package from yarn.lock.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan is joined by Stefan Weitz, CEO and co-founder of the HumanX Conference, for a conversation on how AI has evolved in the last year. They discuss whether “the year of the agent” came to fruition, why companies are moving away from AGI, and the major blockers for AI adoption, from distrust in non-deterministic systems to enterprise data-readiness. Episode notes: HumanX 2026, one of the biggest AI conferences of the year, is happening in San Francisco from April 6-9. Listen to our episodes recorded on the conference floor last year. Connect with Stefan on LinkedIn.Congrats to Populist badge recipient humblebee for winning the badge for their answer to How to open/run YML compose file?.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan sits down with Chainguard CEO Dan Lorenc to chat about how his team is keeping the foundation of the internet—open source projects—alive by forking archived but widely-used repos to provide security maintenance and dependency upgrades. They also discuss open source’s sustainability problems when it comes to funding, security, and maintainer burnout, and how trusted stewardship can reduce risk when maintainers step away.Episode notes: Chainguard provides secure-by-default open source artifacts for the modern software stack, keeping important open source projects maintained instead of archived.Chainguard just announced a whole bunch of new stuff at their user conference, Assemble. Connect with Dan on LinkedIn.Congrats to user Andreas Grapentin for winning a Lifejacket badge for their answer to Nested if-statement in loop vs two separate loops.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes Kari Briski, NVIDIA’s VP of Generative AI Software for Enterprise, to the show to explore how a chip manufacturer got into the model development game. They discuss NVIDIA’s co-design feedback loop between model builders and hardware architects, share insights on precision model training and memory management systems, and take a look at the roadmap and development of NVIDIA’s fully open-source Nemotron. Episode notes: Nemotron is a family of open models with open weights, training data, and recipes for building specialized AI agents.You can learn more on their Hugging Face page or at NVIDIA GTC on March 16-19. Connect with Kari on LinkedIn.Congrats to user The4thIceman for winning a Populist badge on their answer to How to Center Text in Pygame.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

SPONSORED BY DOCKERIn this sponsored episode, Ryan chats with Mark Cavage, President and COO of Docker, joins the show to dive into hardened containers and agent sandboxes. They discuss what it means for a container to be hardened, how agents are starting to look a lot like microservices, and where containers fit into agentic workflows now and in the future. Episode notesDocker Hardened Images are minimal and secure containers. They’re free and available for most applications in the Docker registry. Docker for AI provides an easy way to build, run, and secure AI agents. Connect with Mark on LinkedIn. Congrats Populist badge winner humblebee for answering How to open/run YML compose file?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes Marcus Fontoura, technical fellow at Microsoft and author of Human Agency in the Digital World, to discuss the intersection of technology, society, and human dignity in a digital-first world. They chat about the non-determinism of social media algorithms, the need for balance between efficiency and human dignity in technology, and the role that trust plays in AI.Episode notes: Human Agency in the Digital World is an “AI-era self-help book” about reclaiming our role as pilots—not passengers—in the technology revolution. It’s available now on Amazon and everywhere books are sold. Connect with Marcus on LinkedIn and learn more about his work at his website.Congrats to user Romain for winning a Populist badge on their answer to Django: show the count of related objects in admin list_display. TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan is joined by Philippe Saade, the AI project lead at Wikimedia Deutschland, to dive into the Wikidata Embedding Project and how their team vectorized 30 million of Wikidata’s 119 million entries for semantic search. They discuss how this project helped offload the burden that scraping was creating for their sites, what Wikimedia.DE is doing to maintain data integrity for their entries, and the importance of user feedback even as they work to bring Wikipedia’s vast knowledge to people building open-source AI projects. Episode notes: Wikimedia.DE announced the Wikidata Embedding Project with MCP support in October of last year. Check out their vector database and codebase for the project. Connect with Philippe on LinkedIn and his Wiki page. Today’s shoutout goes to an Unsung Hero on Stack Overflow—someone who has more than 10 accepted answers with a zero score, making up 25% of their total. Thank you to user MWB for bringing your knowledge to the community!TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.