26:29
Why Graph Engineering will 10x your Claude/Codex
Greg Isenberg breaks down "graph engineering," a term gaining traction on Twitter as the next evolution beyond prompt engineering and...
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11:21
Medic for Apache Spark – First Aid for Failing Jobs – Drasko Profirovic, Pinterest
Draško Profirović, staff engineer at Pinterest, presents Medic — a production agentic diagnostics tool built to automatically trouble...
37:45
Build Evals That Actually Matter – Nick Ung, Lyft
Nick Ung and Aka from Lyft's data science team present their end-to-end evaluation framework for production AI agents at the AI Engin...
18:30
Agents in Production: How OpenGov Built and Scaled OG Assist – Gabe De Mesa, OpenGov
Gabe de Mesa, a software engineer on the AI Agents team at OpenGov, delivers a production-focused conference talk on building and sca...
19:06
Why Can’t Anyone Answer Questions About the Business? — Garrett Galow, WorkOS
Garrett Galow, head of product at WorkOS — the enterprise authentication platform powering Cursor, Anthropic, and OpenAI — presents a...
20:12
Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
Zach Blumenfeld, a research engineer at Neo4j, delivers a conference talk explaining why AI agents need more than a standard knowledg...
16:39
Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j
At the AI Engineer conference, Neo4j's Andreas Kollegger and Zaid Zaim present 'context graphs' — a framework for making AI agents no...
01:44:04
The Playbook for a $100M AI Agency
Nate Herk interviews Devin Karns, co-founder and CEO of Custom AI Studio, for a wide-ranging conversation about what it takes to buil...
26:00
AI Dev 26 x SF | João Moura: Building Recurring, Governed, and Embedded Enterprise Workflows
João Moura, CEO of CrewAI, delivers a fast-paced session at AI Dev SF 2026 that weaves together CrewAI's own internal experience depl...
26:24
AI Dev 26 x SF | Diamond Bishop: The Next 100 Agents. Building the Agent Native Office
Diamond Bishop, a 15-year AI/ML veteran at Datadog, takes the stage at AI Dev 26 x SF to share what Datadog has learned scaling from...