The Stack Overflow Podcast

The Stack Overflow Podcast
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Apr 7, 2026 • 33min

He designed C++ to solve your code problems

Bjarne Stroustrup, designer of C++ and Columbia professor, reflects on creating C++ to marry high-level abstractions with low-level systems control. He revisits the language’s origins and design choices. He tackles memory safety, nulls, and practical modernization. He pushes back on simplistic “move to Rust” thinking and talks about evolving C++ for real-world codebases.
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10 snips
Apr 3, 2026 • 29min

Seizing the means of messenger production

Galen Wolfe-Pauly, CEO of Tlon and lead developer on Urbit, builds decentralized personal computing and messaging that returns data ownership to individuals. He talks about calm computing, why messaging is ideal for decentralization, Urbit’s per-person server model, address space and reputation, and experiments with local LLMs and personal assistant nodes.
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12 snips
Mar 31, 2026 • 30min

How can you test your code when you don’t know what’s in it?

Fitz Nowlan, VP of AI and Architecture at SmartBear and co-founder of Reflect, talks about testing in an era of agentic, non-deterministic systems. He explores why MCP-style agents break traditional testing, the rise of workflow-skeletons and LLM-driven evals, the shifting value of source code and data locality, and how on-prem and local agents reshape testing strategies.
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10 snips
Mar 27, 2026 • 25min

Prevent agentic identity theft

Nancy Wang, CTO of 1Password and security-focused technologist, explores risks and controls for local AI agents. She covers why agents create large blast radii, how sandboxing and brokering short-lived credentials help, and the role of verifiable identity, device telemetry, and zero-knowledge design. She also touches on skill registry risks and future-proofing agent identity.
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12 snips
Mar 24, 2026 • 30min

Multi-stage attacks are the Final Fantasy bosses of security

Gee Rittenhouse, VP of Security Services at AWS with deep cloud security and threat detection experience, walks through multi-stage cyber attacks and how they unfold. He discusses overlooked signals in noisy developer environments. He explores AI’s role in speeding reconnaissance and creating agent-like insider risks. He covers detection tradeoffs, rapid response, and testing defenses.
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10 snips
Mar 20, 2026 • 33min

After all the hype, was 2025 really the year of AI agents?

Stefan Weitz, CEO and HumanX co-founder focused on AI and developer platforms. He debates whether 2025 delivered on AI agents and why AGI hype cooled. He highlights infrastructure gaps, trust and data readiness blocking adoption. He also explores how models shift human-computer interaction and the practical limits of vibe-coding and agent architectures.
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Mar 19, 2026 • 29sec

Building a global engineering team (plus AI agents) with Netlify

Dana Lawson, CTO at Netlify, leads engineering for a platform powering a slice of the web. She talks about running a lean, globally distributed team. She discusses written culture and managing polyglot stacks. She explores integrating AI agents into developer tooling and balancing new tech with operational reliability.
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Mar 17, 2026 • 29min

Keeping the lights on for open source

Dan Lorenc, CEO of Chainguard and steward of secure open source supply chains. He explains forking archived but widely used repos to provide security maintenance and dependency upgrades. He talks about maintainer burnout, funding and security challenges in open source. He outlines how trusted stewardship, tooling, and scale keep critical projects alive and reduce supply-chain risk.
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Mar 13, 2026 • 31min

Open source for awkward robots

Jan Liphardt, CEO and co-founder of OpenMind and builder of humanoid robotics software, discusses an open-source robot OS that uses natural-language logic. He covers encoding Asimov-style rules on blockchain, a supervising "mother" model for robot behavior, app-store style skills, hardware standards like brain packs, and social impacts such as regulation and caregiving.
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21 snips
Mar 10, 2026 • 27min

Even the chip makers are making LLMs

Kari Briski, VP of Generative AI Software for Enterprise at NVIDIA, leads the Nemotron open-model family and links model design to hardware. She talks about NVIDIA’s hardware-software co-design, precision training (FP8/FP4) and memory trade-offs. Conversations cover scalable context memory, hybrid architectures, agentic systems and why open weights and datasets matter for enterprises.

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