Ep21 - Ask Me Anything About Anything with Scott Rosenberg @DevOpsToolkit

Uploaded May 2025 | Updated September 2026, 4 minutes ago

There are no restrictions in this AMA session. You can ask anything about DevOps, Cloud, Kubernetes, Platform Engineering, containers, or anything else. We'll have special guests Scott Rosenberg and Ramiro Berrelleza to help us out.

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Sponsor: Codefresh
🔗 Codefresh GitOps Cloud: codefresh.io
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➡ BlueSky: https://vfarcic.bsky.social
➡ LinkedIn: linkedin.com/in/viktorfarcic

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🎤 Podcast: devopsparadox.com
💬 Live streams: youtube.com/c/DevOpsParadox

Ep21 - Ask Me Anything About Anything with Scott Rosenberg

Remote Environments with Dev Containers and Devpod: Are They Worth It?

How to Create Custom CLIs for Internal Developer Platforms with Nushell

$MCP vs CLI: I Tested Both and Heres What Won MCP (Model Context Protocol) promises standardized tool discovery for AI agents, but it comes with a hidden cost: every tool definition, name, description, and parameter schema gets loaded into your context window on every single turn. Connect to a bloated MCP server with 40 or 50 tools and youve burned tens of thousands of tokens before asking a single question. This video puts MCP to the test against a compelling alternative — using CLIs as the communication channel between your agent and remote servers. Through live demos with Claude Code and a Kubernetes cluster, the video walks through both approaches side by side: querying cluster health and component relationships through an MCP server, then accomplishing the same task using the `dot-ai` CLI with a handful of lightweight skill files. The core insight is that LLMs are already trained on widely-used CLIs like `kubectl`, `gh`, and `aws`, making them zero-cost to use. For custom or internal tools, small skill files can teach the LLM what it needs to know at a fraction of the context cost of MCP schemas. The verdict isnt that one approach always wins — well-designed MCP servers with a small number of high-level tools remain a strong choice for centralized, cross-agent deployments — but when context efficiency matters or youre working with tools the LLM already knows, CLIs are often the smarter path. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sponsor: Auth0 🔗 http://a0.to/gav ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #MCPProtocol #AIAgents #KubernetesCLI Consider joining the channel: https://www.youtube.com/c/devopstoolkit/join ▬▬▬▬▬▬ 🔗 Additional Info 🔗 ▬▬▬▬▬▬ ➡ Transcript and commands: https://devopstoolkit.live/ai/mcp-is-burning-your-tokens-before-you-ask-a-single-question 🔗 DevOps AI Toolkit: https://devopstoolkit.ai ▬▬▬▬▬▬ 💰 Sponsorships 💰 ▬▬▬▬▬▬ If you are interested in sponsoring this channel, please visit https://devopstoolkit.live/sponsor for more information. Alternatively, feel free to contact me over Twitter or LinkedIn (see below). ▬▬▬▬▬▬ 👋 Contact me 👋 ▬▬▬▬▬▬ ➡ BlueSky: https://vfarcic.bsky.social ➡ LinkedIn: https://www.linkedin.com/in/viktorfarcic/ ▬▬▬▬▬▬ 🚀 Other Channels 🚀 ▬▬▬▬▬▬ 🎤 Podcast: https://www.devopsparadox.com/ 💬 Live streams: https://www.youtube.com/c/DevOpsParadox ▬▬▬▬▬▬ ⏱ Timecodes ⏱ ▬▬▬▬▬▬ 00:00 MCP vs. CLI 01:10 Auth0 (sponsor) 02:50 MCP Protocol in Action 07:20 CLI Alternative to MCP 17:23 MCP vs CLI: Which One Wins?$

Kubernetes ownerReferences Explained: Why Your Apps Are a Mess

My Kubernetes Workflow: How AI Detects & Fixes Issues Faster

Kro vs Helm: Is It Time to Ditch Helm Charts?

Vibe Coding Explained: AI Coding Best Practices

Past, Present, and Future of Internal Developer Platforms (IDP)

The Micromanager Can Only Manage One Person

DevOps Q&A: AI Coding, Kubernetes Security, Kafka SaaS vs On-Prem

DevOps & AI Toolkit |

Ep21 - Ask Me Anything About Anything with Scott Rosenberg