Generationship

In episode 42 of Generationship, Rachel Chalmers speaks with Katie Hallett about why she and her team decided to build a web browser for machines, not humans. Katie explains the inefficiencies of traditional scraping tools, why Lightpanda is so much faster, and how AI is reshaping developer workflows. They also offer career advice to help new graduates stay ahead in the AI era.

Suzanne EL-Moursi, CEO of Brighthive, shares her insights on digital transformation and data architecture. She explains the essential 'three-layer cake' of data management, focusing on composable stacks and agentic AI. Suzanne discusses how her team ensures real-time compliance while streamlining hundreds of data sources. She envisions transforming organizations into data powerhouses and emphasizes the importance of trust and collaboration in navigating data ownership, underscoring a hopeful future through AI and collective efforts.

Salma Mayorquin, Co-founder of Remyx AI, is dedicated to making tailored machine learning accessible. She dives into the shift from traditional MLOps to ExperimentOps, sharing insights from giants like Netflix, Yelp, and Stripe. Salma discusses the challenges modern AI poses and how companies are integrating foundation models. She also brings to light the value of personal passion projects in AI development, and envisions a future where AI engineering is more accessible and integral to business strategies.

Rachel chats with Simon Willison, founder of Datasette and co-creator of Django, known for his contributions to data journalism. They explore the surprising comeback of blogging and its impact on professional growth. Simon shares his innovative concept of 'prompt injection' and how he manages myriad projects using GitHub issues as an external brain. The conversation delves into learning in public, the ethical implications of AI, and the intriguing intersection of technology and creativity, all wrapped in humor and wit.

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.

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.

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.

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.

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.

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.