Subvolts take Manage AI agents like coworkers with new enterprise infrastructure tools. May 28, 2026
For you
Developers
Learn about new infrastructure for deploying and managing AI agents in enterprise settings.
Business
Understand how AI agents may soon function as coworkers, integrated into business operations.
Hype note
3/5Notable

This episode provides a solid interview on enterprise AI infrastructure and agent management, relevant to current industry trends.

Rebooting Enterprise AI with MCP and Kubernetes

48 min Interview Hosts: Daniel Whitenack, Chris Benson
0:0048:09

Audio streams from Daniel Whitenack and Chris Benson. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

This Practical AI episode features Craig McLuckie, CEO of Stacklok, discussing enterprise AI infrastructure. Hosts Daniel Whitenack and Chris Benson explore MCP, Kubernetes, and ToolHive. The conversation covers managing fleets of AI agents as coworkers, focusing on identity, orchestration, and system architecture for AI-native applications.

Explained simply

Imagine AI agents working alongside people, not just answering questions. This episode explains the new technology needed to manage many AI agents, like a team, handling tasks behind the scenes. It's about making AI a seamless part of business operations.

Why listen

This episode offers a glimpse into the future of enterprise AI, moving beyond chatbots to integrated AI coworkers. It's for developers and IT leaders building or planning AI-native applications. The discussion on agent orchestration and system architecture is relevant as frontier labs like Google Gemini and Microsoft Copilot develop more sophisticated AI systems that will require robust infrastructure for deployment and management.

On the mic
  • HostDaniel Whitenack
  • HostChris Benson
  • GuestCraig McLuckieCEO, Stacklok
About
Key facts
  • Guest: Craig McLuckie, CEO of Stacklok
  • Show: Practical AI
  • Length: 48 minutes
  • Topics Discussed: MCP, Kubernetes, ToolHive, enterprise AI, AI agents, AI-native applications
Key moments and transcript

Chapters from the publisher ↗ · Transcript ↗ Key moments and transcript search come with a later piece.

Show notes from Daniel Whitenack and Chris Benson

What happens when AI agents start acting less like chatbots and more like coworkers? In this episode, Dan and Chris sit down with Craig McLuckie, CEO of Stacklok to explore MCP, Kubernetes, ToolHive, enterprise AI, and the emerging infrastructure powering AI-native applications. From identity management to agent orchestration and system architecture, this conversation dives into how organizations may soon manage entire fleets of AI agents working behind the scenes.

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Jargon decoded
MCP
Craig McLuckie
An infrastructure component for managing AI agents.
Kubernetes
Craig McLuckie
A system for automating deployment, scaling, and management of containerized applications.
AI-native applications
Craig McLuckie
Software applications built from the ground up to leverage artificial intelligence.
Published
Show
Practical AI · Daniel Whitenack and Chris Benson
Length
48 min
Companies
Google, Microsoft
Products
MCP, Kubernetes, ToolHive
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Questions people ask

What is MCP and ToolHive?
MCP and ToolHive are discussed as part of the emerging infrastructure powering AI-native applications, particularly in managing AI agents.
How will AI agents work in enterprises?
The episode explores AI agents acting like coworkers, managed through systems for identity, orchestration, and architecture.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Daniel Whitenack and Chris Benson.