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AI Engineer — Production & Infra

AI Engineer12 lessons4h 36m

Secure execution of AI code

  1. 1Why, and how you need to sandbox AI-Generated Code? — Harshil Agrawal, Cloudflareadvanced38m

Securing AI agent deployments

  1. 2Your Insecure MCP Server Won't Survive Production — Tun Shwe, Lensesintermediate25m

Platform Engineering for AI Agents

  1. 3Platforms for Humans and Machines: Engineering for the Age of Agents — Juan Herreros Elorzaintermediate21m

Enterprise AI platform governance

  1. 4One Registry to Rule them All - Sonny Merla, Mauro Luchetti, & Mattia Redaelli, Quantycaintermediate23m

Local LLM deployment and performance

  1. 5Running LLMs locally: Practical LLM Performance on DGX Spark — Mozhgan Kabiri chimeh, NVIDIAintermediate10m

LLM security and AI guardrails

  1. 6$1 AI Guardrails: The Unreasonable Effectiveness of Finetuned ModernBERTs – Diego Carpenterointermediate44m

Edge LLM deployment & optimization

  1. 7Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AIintermediate11m

Scaling and optimizing agent infrastructure

  1. 8Lessons from Scaling GitHub's Remote MCP Server — Sam Morrow, GitHubadvanced21m

Gateway architecture for enterprise AI agent deployment

  1. 9What we learned scaling MCPs to Enterprise — Karan Sampath, Anthropicintermediate18m

Secure identity for multi-application platforms

  1. 10One Login to Rule Them All: Cross-App Access for MCP — Garrett Galow, WorkOSintermediate23m

Edge AI acceleration and deployment

  1. 11Accelerating AI on Edge — Chintan Parikh and Weiyi Wang, Google DeepMindintermediate24m

Small model inference infrastructure optimization

  1. 12The Small Model Infrastructure Nobody Built (So We Did) — Filip Makraduli, Superlinkedadvanced18m
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