Vibe Coding on Kubernetes with Cyclops MCP
There’s been a ton of hype around AI and developer workflows, but when it comes to Kubernetes, not much has really happened yet - and for good reason. You want your infrastructure to be stable, and vibe coding isn’t exactly known for stability. Imagine your config being rewritten every time you deploy. Even a tiny change like adding an env variable could snowball into a broken system. Or worse: you wake up to a massive AWS bill because your LLM decided you really needed a few extra nodes while all you were trying to do was bump a Docker image version. But what if you could put guardrails in place to prevent all that? Today, we are launching our very own MCP server for Cyclops, and in this post, I’ll show you how you can enable your devs to safely deploy their code to Kubernetes by chatting with an LLM! Vibe deploying?
There’s been a ton of hype around AI and developer workflows, but when it comes to Kubernetes, not much has really happened yet - and for good reason. You want your infrastructure to be stable, and vibe coding isn’t exactly known for stability.
Imagine your config being rewritten every time you deploy. Even a tiny change like adding an env variable could snowball into a broken system. Or worse: you wake up to a massive AWS bill because your LLM decided you really needed a few extra nodes while all you were trying to do was bump a Docker image version.
But what if you could put guardrails in place to prevent all that?
Today, we are launching our very own MCP server for Cyclops, and in this post, I’ll show you how you can enable your devs to safely deploy their code to Kubernetes by chatting with an LLM! Vibe deploying?
