D2DO294: AI in My Vuln Research Workflow

Kyler and Ned sit down with Liz Fong-Jones, Technical Fellow at Honeycomb, to discuss the impact of AI on open-source contributions. Liz proposes shifting the script from code patch contributions to detailed bug reports. They also break down the distinction between programming and software engineering, and the critical role of OpenTelemetry in ensuring the observability... Read more »

FluidCloud calls itself a cloud-cloning platform. In other words, the company can map and copy all the cloud infrastructure settings from one public cloud—including compute, storage, networking, and identity—and port those settings to a different public cloud. On today’s sponsored Day Two DevOps, Ned and Kyler talk with FluidCloud’s co-founders to understand how the platform... Read more »

Engineers and developers are using AI like never before, including in production. That has potential consequences, both good and bad, for uptime, operations, security and risk management, and more. Today’s guest, Rich Mogull, guides us through the decision-making process of adding AI to your production lifecycle and possible ramifications. Rich is Chief Analyst at the... Read more »

Kat Traxler, Principal Security Researcher at Vectra AI, returns to the podcast to discuss her AI-powered vulnerability research workflow. She explains how she uses two different AI models to act as the “blackboard” while she applies her expertise to triage AI-generated ideas to increase her productivity. She also asks a concerning question: As AI automates... Read more »

Ned and Kyler sit down with Tikhon Jelvis to discuss Haskell and other niche programming languages. They explore how this decades-old language isn’t just surviving, but thriving. They also break down how Haskell can provide distinct advantages over traditional programming, especially for complex domain modeling and concurrent applications. Episode Links: Copilot Language Haskell Project Haskell... Read more »

Ned and Kyler sit down with industry analyst Jon Collins for a fun and free-ranging discussion that covers everything from the changing landscape of software engineering to the importance of good architecture (physical and digital). They tackle the pros and cons of “Vibe Coding” as well as the “Augmentation Gap”, the idea that AI tools... Read more »

Marina Wyss, Senior Applied Scientist at Twitch, joins Kyler and Ned to discuss her unique path from political science to AI Engineering. Wyss clarifies the difference between AI Engineering and Machine Learning Engineering and offers practical advice for aspiring engineers who want to incorporate data science, AI, and machine learning into their work. She digs... Read more »

Ned Bellavance and Kyler Middleton are joined by Rachel Stephens, Research Director at RedMonk, to discuss the state of DevOps and the impact of AI. They explore the distinction between developer productivity and development productivity, underlined by a DORA report finding that while AI dramatically boosts individual developer productivity, it often fails to improve overall... Read more »

As AI tools and agentic AI become part of how applications are developed, delivered, and managed, application performance monitoring and observability have to adapt. Ned Bellavance sits down with Drew Flowers and Jacob Yackenovich from IBM Instana about where these fields sit today, and the potential impacts of AI. They detail the challenges of application... Read more »

Ned and Kyler sit down with Deana Solis, a freelance FinOps engineer and mentor. They discuss the undervalued skills of communication, look at the inherent biases and misplaced confidence of AI models, and offer guidance for those starting their careers. Deana also talks about her journey to discover the intersection of technology, career, and finding... Read more »