Notable Guests
GC
Gabe Cemaj
3x
PP
Priyanka Phatak
3x
SS
Sandhya Subramani
2x
PB
Paul Bakaus
2x
VL
Vlad Luzin
2x
YB
Yuval Belfer
2x
AA
Ali-Reza Adl-Tabatabai
2x
JC
Jan Curn
2x
LV
Laurie Voss
2x
OS
Olive Song
2x
AO
Andrew Orobator
1x
AP
Ajay Prakash
1x
AQ
Andrew Qu
1x
AD
Andrew Dai
1x
Recent Episodes
✨
Priyanka Phatak built a no-code agent in the console.
Gabe Cemaj
Priyanka Phatak
✨
Priyanka Phatak explained the evolution of Claude Managed Agents.
Priyanka Phatak
✨
Nilofer Rajpurkar presented Stripe data on AI company growth.
Nilofer Rajpurkar
✨
swyx hosted an open Q&A on AI Engineer's successes and challenges.
✨
Q&A covered agent config versioning and CI/CD integration.
Gabe Cemaj
Priyanka Phatak
✨
Gabe Cemaj demonstrated fan-out requests and scheduled agent deployments.
Gabe Cemaj
✨
Adi Singh discussed agent identity formation through existing platforms.
Adi Singh
✨
Michael Grinich highlighted the need for agent-friendly signup flows.
Michael Grinich
✨
Daniel Kim and Michelle discussed accelerating AI inference speeds.
✨
Kevin Orellana tested an AWS coding agent in a sandbox.
Kevin Orellana
✨
Robert Brennan emphasized the critical need for agent sandboxing.
✨
Howie Liu discussed the evolution of agent products.
Howie Liu
✨
Druid AI's team challenged traditional agent containment metrics.
Druid AI
✨
Humanlike voice agents require low latency and contextual awareness.
✨
AI budgets are shrinking, leading to tool lock-in.
Remy Guercio
✨
Jetashree Ravi advocated for continuous training of open models.
Fireworks AI
✨
Ang Li demonstrated an autonomous computer agent's workflow.
✨
Charles Dickens from Snorkel AI shared training a small finance agent for under $500.
✨
Tarun Sunkaraneni from Amazon AGI discussed optimizing GPU utilization for multimodal training.
Tarun Sunkaraneni
✨
MiniMax M3 natively handles text and vision from training start.
Olive Song