Skip to the good part of every MLOps Community session.
Six years of talks, podcasts and meetups, each written up with links into the video at the second an idea starts. 927 talks and counting.
Searches talks and packs by meaning — full sentences work, not just a keyword.
Agentic DX: Bringing IDP into your IDEAdnan Vahora describes how Motorola Solutions tried to increase adoption of an Internal Developer Platform used by more than 4,000 monthly active users. The platform had only 22% adoption, so the team moved its agent experience into the IDE through...
Before the Agent Calls: Source-level Findings from 100 MCP ServersAkash Sathish examines MCP security before an agent makes its first tool call. He describes how malicious instructions can enter through prompts, connected MCP servers, or retrieved documents, then shows how an LLM can steer an MCP server toward dangerous...
MCP 2.0: What Changes, What Breaks, and What You Need to Do About ItMateo Torres explains MCP 728 as the largest rewrite of the protocol since its launch. The central change is a move from stateful sessions to stateless requests. Requests carry the context a server needs, so any replica can handle them...
The model works when you run the notebook.
Two models use a feature with the same name, but different calculations.
The endpoint is healthy, yet recommendations are empty or one customer group receives worse predictions.
You built the platform, but data scientists still run their own scripts and ask colleagues how to deploy.
138K views2System Design for Recommendations and Search
95K views3Does AgenticRAG Really Work?
39K views4Exploring the Latency/Throughput & Cost Space for LLM Inference
29K views5Stop Shipping on Vibes: How to Build Real Evals for Coding Agents
26K views
Every talk and pack page also exists as plain Markdown: add .md to any talk or pack URL.