AI Engineer

Insights on Building AI Teams — Heath Black, SignalFire

AI Engineers: The Next Generation — Stefania Druga, Google Gemini

How to Fail at AI Strategy: Hamel Husain & Greg Ceccarelli

Anthropic in the Enterprise — Alexander Bricken & Joe Bayley

Finetuning: 500m AI agents in production with 2 engineers — Mustafa Ali & Kyle Corbitt

The Agent Development Life Cycle — Zack Reneau-Wedeen, Sierra

RAG Agents in Prod: 10 Lessons We Learned — Douwe Kiela, creator of RAG

Trust, but Verify: Knowledge Agents for Finance Workflows - Mike Conover

Building AI Agents with Real ROI in the Enterprise SDLC: Bruno (Booking.com) & Beyang (Sourcegraph)

Anchoring Enterprise GenAI with Knowledge Graphs: Jonathan Lowe (Pfizer), Stephen Chin (Neo4j)

Personal, Local, Private AI Agents: Soumith Chintala

How We Build Effective Agents: Barry Zhang, Anthropic

This episode explores the effective building of AI agents, moving beyond simple workflows to more autonomous systems. Against the backdrop of increasingly sophisticated models, the speaker argues that agents shouldn't be a universal solution, emphasizing the need to consider task complexity, value, and error costs. Mo...

Scaling Agents for Gen AI Products - Anju Kambadur, Bloomberg Head of AI Engineering

AI Engineering at Jane Street - John Crepezzi

How Deep Research Works - Mukund Sridhar & Aarush Selvan, Google DeepMind

Why Agent Engineering — swyx

Rethinking how we Scaffold AI Agents - Rahul Sengottuvelu, Ramp

Navigating AI’s Frontier in 2025 - Grace Isford, Lux Capital

How Windsurf writes 90% of your code with an Agentic IDE - Kevin Hou, Windsurf

Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley

This episode explores the potential of reinforcement learning (RL) in advancing AI agents beyond current chatbot and reasoner capabilities. Will Brown distinguishes between simple pipelines and more autonomous agents, highlighting the limitations of current systems that rely heavily on prompt engineering and human feed...