15:27
AI Dev 26 x SF: Emma McGrattan: Engineering the Context Layer
Emma McGrattan, Chief Technology Officer at Actian and a 30-year veteran of the data industry, delivered a talk at AI Dev 26 x SF foc...
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14:40
AI Dev 26 x SF | Marc Brooker: It’s Time to Be Right
Marc Brooker, VP and Distinguished Engineer at AWS, used his AI Dev 26 x SF keynote to argue that the single biggest lever for expand...
01:15:40
Build Agents That Run for Hours (Without Losing the Plot) — Ash Prabaker & Andrew Wilson, Anthropic
Ash Prabaker and Andrew Wilson, engineers on Anthropic's applied AI team, delivered a technical deep dive at the AI Engineer conferen...
05:55
The Hidden Rules Behind Going Viral on X (May 2026)
X has replaced its legacy rule-based feed system with a transformer model built on XAI's Grok architecture, and Alphastack's creator...
18:38
Why Your AI UX Is Broken (and It’s Not the Model’s Fault) — Mike Christensen, Ably
Mike Christensen, staff engineer at Ably, presents a detailed technical breakdown of why the default HTTP streaming model used in mos...
17:29
Fighting AI with AI — Lawrence Jones, Incident
Lawrence Jones, founding engineer at incident.io, explains how his team uses AI tooling to manage the growing complexity of their AI-...
20:27
Harnesses in AI: A Deep Dive — Tejas Kumar, IBM
Tejas Kumar, AI developer advocate at IBM, delivers a methodical first-principles explanation of what agent harnesses are and why the...
27:46
5 Levers That Separate Winning AI Investments from Disasters
Nate B. Jones, writing for AI News & Strategy Daily, delivers a structured framework for enterprise leaders navigating agentic AI inv...
17:39
Connecting the Dots with Context Graphs — Stephen Chin, Neo4j
Stephen Chin, head of developer relations at Neo4j, presents a technical case for knowledge graphs as the context layer that standard...
16:30
Malloc is NOT Magic: Let’s Build it to Learn What’s Inside!
Dave's Garage builds a C memory allocator from scratch, starting from the simplest implementation imaginable and incrementally exposi...
16:23
Your SaaS Bill Just Got a Second Meter. You’re About to Pay It.
Nate B. Jones delivers a detailed strategic analysis of how enterprise SaaS vendors are replacing per-seat licensing with consumption...
25:53
The Trillion Dollar Agentic Workflow Opportunity Is Here
Nate B. Jones delivers a structured analysis of why 2026 is the inflection point for enterprise AI agent deployment, and why the valu...
31:55
The biggest AI breakthrough in medicine & drug discovery
This video from the AI Search channel unpacks a newly published research paper on MAML, a multimodal AI model built to accelerate dru...
01:20:07
Mind the Gap (In your Agent Observability) — Amy Boyd & Nitya Narasimhan, Microsoft
Amy Boyd and Nitya Narasimhan from Microsoft's Azure AI Foundry developer relations team deliver a hands-on workshop at AI Engineer L...
20:09
Pinecone Just Demoted Vector Search. Here’s the Knowledge Layer.
Nate B Jones examines why major infrastructure vendors are racing to move beyond pure vector search, and what that means for develope...
14:27
Claude Makes Dashboards Too Easy. That’s the Problem.
Dylan Davis, who runs an AI consultancy, addresses one of the most common mistakes he observes clients making: letting AI build dashb...