Building Your Production-Grade SRE Agent
AI is only as good as the information you provide it. Aside from the general hallucinations and wild outcomes we sometimes see from LLMs, the general gist of an Agent not performing as
Making Your Agent Model-Aware With Inference Extension vLLM, & Routing
Your Agent has a "mind of its own" (well, it was programmed to act a particular way). For example, Claude Code is known to downgrade your Model for particular tasks to
Managing MCP Servers and Tools With Agentregistry OSS
Three big topics when it comes to MCP:
1. How do you know the MCP Server is secure?
2. Where is it stored?
3. Is it version-controlled, or can anyone just change
Implementing Multi-Region Agents, MCP Servers, and LLMs
Having an Agent run, whether it's on your local system (e.g - Claude Code) or in a k8s cluster, is now table stakes. Everyone from engineers to people in other professions,
Human Presence in Agentic Workflows
Where does a person come into an AI workflow today? Is it during code creation? PRs? Quantifying business output? This is the question that every organization using AI is trying to figure out