What it’s like being a professional workplace bestie (Ep. 603)

Medical research made understandable with AI (ep. 601)

On today’s episode we chat with CEO Dipanwita Das and CTO Hellmut Adolphs of Sorcero, which uses AI and large language models to make medical texts more discoverable and readable, helping knowledge to more easily spread, increasing the changes doctors and patients will find the solutions they need.

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What it’s like being a professional workplace bestie (Ep. 603)

Semantic search without the napalm grandma exploit (Ep. 600)

Ben and senior software engineer Kyle Mitofsky are joined by two people who worked on the launch of Overflow AI: director of data science and data platform Michael Foree and senior software developer Alex Warren. They talk about how and why Stack Overflow launched semantic search, how to ensure a knowledge base is trustworthy, and why user prompts can make LLMs vulnerable to exploits.

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What it’s like being a professional workplace bestie (Ep. 603)

Making event-driven development predictable with Discover

SPONSORED BY DISCOVER FINANCIAL On this sponsored episode of the podcast, Ben and Ryan chat with Paul Manning and Emanuele Pugliese of Discover Financial about the tech that goes into payments and the way they approach developer experience and architecture. They talk about domain-driven design, event-driven architecture, Kafka Streams, and how they leverage all that…

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What it’s like being a professional workplace bestie (Ep. 603)

Want better answers from your data? Ask better questions

Tim Tutt, CEO and cofounder of Night Shift Development, tells the home team about his work in deploying large-scale search and discovery analytics, why he’s working to help nontechnical users understand and utilize their business data, and how GenAI is teaching people to ask better questions.

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What it’s like being a professional workplace bestie (Ep. 603)

The fine line between product and engineering (Ep. 596)

Kathryn Murphy, SVP of Product and Design at Twilio, chats with Stack Overflow CTO Jody Bailey about walking the line between product design and engineering early in their careers, lessons learned at tech juggernauts like Salesforce and Amazon, and their respective roadmaps for integrating generative AI into their products.

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