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From Software Agents to Physical Devices: Inside the Agentic Hardware Stack thumbnail
29:30
World Congress 2026 North America • 12 days ago

From Software Agents to Physical Devices: Inside the Agentic Hardware Stack

Michael Yuan, Vivian Hu

Context Engineering Kung Fu thumbnail
30:51
World Congress 2026 North America • 12 days ago

Context Engineering Kung Fu

Carl Lapierre

Who Tests the AI? Building Trustworthy AI Systems at Enterprise Scale thumbnail
27:57
World Congress 2026 North America • 12 days ago

Who Tests the AI? Building Trustworthy AI Systems at Enterprise Scale

Him Raj Singh

File Systems Are the New Primitive for AI Agents thumbnail
22:37
World Congress 2026 North America • 12 days ago

File Systems Are the New Primitive for AI Agents

Andrew Wong

Shipping AI Features People Actually Use thumbnail
29:36
World Congress 2026 North America • 12 days ago

Shipping AI Features People Actually Use

Ben Kus, Stefan Lederer, Wayne Liu, Floriane Gramlich

Run your agents in Kubernetes: Build once, deploy anywhere. But really? thumbnail
21:26
World Congress 2026 North America • 12 days ago

Run your agents in Kubernetes: Build once, deploy anywhere. But really?

Michal Salanci

Closing the autonomous software development loop thumbnail
26:49
World Congress 2026 North America • 12 days ago

Closing the autonomous software development loop

Justin Halsall, Scott Voigt

Sandboxing the Swarm: Building Secure, Serverless AI Agents with Wasm thumbnail
29:16
World Congress 2026 North America • 12 days ago

Sandboxing the Swarm: Building Secure, Serverless AI Agents with Wasm

Thorsten Hans

From Cloud Native to Multi-Cloud Native: Write Once, Deploy Anywhere thumbnail
26:32
World Congress 2026 North America • 12 days ago

From Cloud Native to Multi-Cloud Native: Write Once, Deploy Anywhere

Sandeep Pal

From Stateless to Self-Improving: Building Agent Workflows That Get Better Every Session thumbnail
28:44
World Congress 2026 North America • 12 days ago

From Stateless to Self-Improving: Building Agent Workflows That Get Better Every Session

Laura Salinas

Fast, Cheap, and Accurate: Optimizing LLM Inference with vLLM and Quantization thumbnail
26:27
World Congress 2026 North America • 12 days ago

Fast, Cheap, and Accurate: Optimizing LLM Inference with vLLM and Quantization

Legare Kerrison, Cedric Clyburn

Your Threat Model Is Lying to You: Why Modeling the Design Isn’t Enough in 2026 thumbnail
30:06
World Congress 2026 North America • 12 days ago

Your Threat Model Is Lying to You: Why Modeling the Design Isn’t Enough in 2026

Farshad Abasi