Robots in the skies (and they use Transformer models)
Ryan welcomes Nathan Michael, CTO at Shield AI, to discuss what AI looks like in defense technologies, both technically and ethically.
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autonomous agents
“AI has been the wild west”: Creating standards for agents with Sean Falconer
Ryan is joined on the podcast by Confluent’s AI Entrepreneur in Residence, Sean Falconer, to discuss the growing need for standards for AI agents, the emerging Model Context Protocol and agent-to-agent communication, and what we can learn from early web standards while AI continues to evolve.
Integrating AI agents: Navigating challenges, ensuring security, and driving adoption
Positioned at the intersection of automation, decision intelligence, and data orchestration, AI agents are quickly emerging as essential tools for aligning business outcomes with technical workflows.
“The future is agents”: Building a platform for RAG agents
Douwe Kiela, CEO and cofounder of Contextual AI, joins Ryan and Ben to explore the intricacies of retrieval-augmented generation (RAG). They discuss the early research Douwe did at Meta that jump started the whole thing, the challenges of hallucinations, and the significance of context windows in AI applications.
Salesforce wants to do for agentic AI what they did for SaaS
Christophe Coenraets, SVP of Developer Relations at Salesforce, tells Eira and Ben about building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce. Christophe explains how they solicited and incorporated feedback from the developer community in building the developer edition, what types of AI agents people are building, and the critical importance of guardrails and prompt engineering.
Mastering microservices with a former Uber and Netflix architect
Ryan welcomes Jeu George, cofounder and CEO of Orkes, to the show for a conversation about microservices orchestration. They talk through the evolution of microservices, the role of orchestration tools, and the importance of reliability in distributed systems. Their discussion also touches on the transition from open-source solutions to managed services, integration opportunities for AI agents, and the future of microservices in cloud computing.
Wait, what is agentic AI?
Is “agentic AI” just a buzzword, or is it the sea change it seems?
“Are AI agents ready for the enterprise?”
Deepak Singh, VP of Developer Agents and Experiences at AWS, helps Ryan break down the hype around agentic AI in software development. They cover the definition and real-world functionality of AI agents, how developers can integrate them into existing workflows, and the importance of establishing guardrails to ensure trust and security in agentic AI.
What we learned at TDX 2025
Some high-level takeaways, with more to come.
Writing tests with AI, but not LLMs
How Diffblue leverages machine learning techniques to write effective unit tests.
Balancing a PhD program with a startup career (Ep. 576)
Cameron Wolfe, Director of AI at Rebuy and deep learning researcher, joins Ben for a conversation about generative AI, autonomous agents, and balancing a PhD program with a tech career.
