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Talks about designing, evaluating, and operating AI agents and their harnesses.
Assignments are curated from official talk titles and reviewed individually. AI Engineer does not import Podhood-generated tags as taxonomy.

Popular #615:09
How We Build Effective Agents: Barry Zhang, Anthropic
Barry Zhang

Popular #101:44:12
Building Agents with Model Context Protocol - Full Workshop with Mahesh Murag of Anthropic
Mahesh Murag

Popular #1317:06
12-Factor Agents: Patterns of reliable LLM applications — Dex Horthy, HumanLayer
Dex Horthy

Popular #1520:27
Harnesses in AI: A Deep Dive — Tejas Kumar, IBM
Tejas Kumar

Popular #1620:00
Building and evaluating AI Agents — Sayash Kapoor, AI Snake Oil
Sayash Kapoor

Popular #1818:31
The Multi-Agent Architecture That Actually Ships — Luke Alvoeiro, Factory
Luke Alvoeiro

Popular #1946:21
Harness Engineering: How to Build Software When Humans Steer, Agents Execute — Ryan Lopopolo, OpenAI
Ryan Lopopolo

Popular #232:42:28
[Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han
Daniel Han

Popular #241:52:25
Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic
Thariq Shihipar

Popular #2644:12
State of the Claw — Peter Steinberger
Peter Steinberger

Popular #2718:46
The Future of MCP — David Soria Parra, Anthropic
David Soria Parra

Popular #2917:43
How I deleted 95% of my agent skills and got better results — Nick Nisi, WorkOS
Nick Nisi

Popular #3020:43
Building Great Agent Skills: The Missing Manual
Matt Pocock