Generationship

In episode 40 of Generationship, Salma Mayorquin of Remyx AI unpacks the shift from traditional MLOps to ExperimentOps—a framework for scaling insight in modern AI development. With stories from Netflix, Yelp, and Stripe, she explains how teams are bringing foundation models into production and what it takes to keep up. If you're grappling with LLMs, MLOps, or decision paralysis in GenAI, this one’s for you.

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In episode 39 of Generationship, Rachel speaks with Simon Willison, founder of Datasette and co-creator of Django. Simon discusses the surprising resurgence of blogging, his coining of the term “prompt injection,” the power of learning in public, and how he uses GitHub issues as an external brain to manage hundreds of projects. This quick-witted and humorous conversation offers a pragmatic look at leveraging today's tools for maximum productivity and impact.

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In episode 38 of Generationship, Rachel Chalmers sits down with Heidi Waterhouse, co-author of "Progressive Delivery." They unpack what Progressive Delivery means as an extension of continuous delivery, focusing on the crucial role of user experience in software development. Discover fresh insights on user autonomy, the pitfalls of uninvited AI, and how to bring empathy back into the software lifecycle.

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In episode 37 of Generationship, Rachel Chalmers chats with Latrice Barnett and Kanika Chander from Majority Collective about their mission to empower underrepresented founders. The conversation covers the practical benefits of fractional expertise, the importance of defining clear company strategies, and a thought-provoking exchange on the opportunities and pitfalls of artificial intelligence in shaping the future of entrepreneurship.

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In episode 36 of Generationship, Rachel Chalmers speaks with Christine Spang about the past, present, and future of enterprise software, with a particular focus on AI. Spang shares her experiences building Nylas and discusses the practical applications of AI in business, as well as the ethical considerations surrounding its use. Lastly, they explore the social and cultural impact of AI, pondering its effects on human connection and the perception of reality.

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In episode 35 of Generationship, Rachel is joined by Brooke Hopkins to explore what it takes to make voice AI agents reliable, robust, and ready for real-world deployment. Drawing from her experience at Waymo and her current work at Coval, Brooke reveals how testing and evaluation are the key to staying ahead in a fast-moving AI landscape.

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In episode 34 of Generationship, Nathen Harvey brings data, humor, and heart to a conversation about AI, DevOps, open source, and developer experience. He and Rachel dive into how AI is influencing software engineering, the role of platform engineering, metrics for assessing performance, and broader reflections on engineering culture and career growth.

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In episode 33 of Generationship, Rachel Chalmers is joined by Nicole Forsgren—developer productivity researcher and co-founder of DORA—to discuss how AI is reshaping the software development landscape. From coding with LLMs to evaluating trust in AI-generated outputs, they explore the future of developer experience and the enduring value of human intuition.

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In episode 32 of Generationship, Rachel speaks with Marcel Kornacker, creator of Pixeltable and a pioneer in database technology. They discuss how AI engineers can streamline data management, the challenges of founding a startup, and the future of generative AI in software development. Marcel also shares insights from his career journey and how AI is reshaping the way we work with multimodal data.

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In episode 31 of Generationship, Rachel Chalmers welcomes Deepti Srivastava, a trailblazer in enterprise technology and founder of Snow Leopard. Deepti discusses how her experiences with Oracle and Google Spanner inspired her mission to help businesses leverage live data for AI applications. Learn about the challenges of integrating AI, the myths of data unification, and the promise of generative AI.

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