The podcast
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Where builders come to reason through what's changing in AI and software infrastructure. Hosted by someone building in it every day.
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A show for engineers, founders, and operators shipping AI in production. I sit down with the people building today's AI systems, across model infrastructure, inference platforms, agent frameworks, and developer tools, to dig into what's actually shipping, what's hard, and where the leverage is.
Recent guests
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NVIDIA (opens in new tab) -
Google DeepMind (opens in new tab) -
Cisco (opens in new tab) -
AMD (opens in new tab) -
Poolside (opens in new tab) -
CrewAI (opens in new tab) -
Block (opens in new tab) -
Vercel (opens in new tab) -
Intercom (opens in new tab) -
Neo4j (opens in new tab) -
Airbyte (opens in new tab) -
Databricks (opens in new tab) -
LlamaIndex (opens in new tab) -
Snorkel AI (opens in new tab) -
Superhuman (opens in new tab) -
Oracle (opens in new tab) -
Liquid AI (opens in new tab) -
MongoDB (opens in new tab)
The show in numbers
- All-time downloads + views
- 155,054
Downloads + views, YouTube, and episodes update live from the Chain of Thought dashboard.
Latest episode
Most-listened episodes
Full archive →- 01 Mastering Multi-Agent Systems Mikiko Chandrasekhar, MongoDB
- 02 The AI Framework Era Is Over: Why Context Is the Moat Jerry Liu, LlamaIndex
- 03 Mindset Over Metrics: How to Approach AI Engineering Hamel Husain
- 04 How AI Velocity is Rewriting the Rules for Engineering Leaders Claire Vo, ChatPRD
- 05 Architecting AI Agents: The Shift from Models to Systems Aishwarya Srinivasan
- 06 250,000 Lines of Code/Week: Inside an AMD VP's Agent-First Workflow Anush Elangovan, AMD
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