Podcasts | Dev Interrupted by LinearB

How leaders win over their team’s biggest AI skeptics

Superhuman's Loic Houssier shares a practical playbook for driving bottom-up AI adoption on skeptical engineering teams by leveraging a trusted internal...

AI isn't for cutting costs, it's for multiplying impact

Super.com's Matt Culver reframes the AI debate, arguing that leaders should use efficiency gains to multiply team impact and value, not cut costs, by aligning...

The timelessness of vector databases

Pinecone's Ram Sriharsha makes the definitive case for vector databases, explaining why externalizing search via RAG is essential for the AI stack's security...

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Is Agentforce the future of enterprise vibe coding?

Salesforce's Dan Fernandez shares his vision for Enterprise Vibe Coding, detailing how his team is taming agentic AI development with security guardrails,...

Building the internet’s next infrastructure layer

Cloudflare's Brendan Irvine-Broque provides a roadmap for the Model Context Protocol (MCP), explaining how it is evolving into the next infrastructure layer...

Making tech literacy irrelevant

Ken Kocienda, Apple veteran and creator of the iPhone keyboard and autocorrect, shares his philosophy of bridging the liberal arts with technology to make tech...

Why enterprise AI lives or dies on applied research

Elizabeth Lingg, Director of Applied Research at Contextual AI, explains why the future of enterprise AI depends on grounded models, and how to effectively...

Your AI demo is a lie (and how to make it real)

Alex Salazar from Arcade reveals the four "demo killers" that prevent AI agents from reaching production and explains how embracing constraint and determinism...

The future of the terminal is not a terminal

Gain a new perspective on the terminal's future with Warp's Zach Lloyd, who explains how it's evolving into a platform for orchestrating AI agents and transform...

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