I agree. I currently do run a bunch of dev containers on my local Docker but that is not good enough, they neeed to be able to work while I am on the run and close my laptop. So we are trying having personal containers on a managed Kibernetes cluster for every developer. We’re still working on making this work but it seems promising, the hardest thing being just permissions to let the agent use MCP servers, http APIs etc. If anyone has done this, how did you manage that?? I know there are products like OpenCLI that help with the problem but we want something we can build ourselves since AI makes it so much easier to build things!

Use ai to build it a poc and read the code after, learn, rebuild until you find something that works.

I host all of my custom applications on a machine in my home with Tailscale, k8, infrastructure as code

It’s wired, always on, has access to my gpu running on another machine or falls back to cloud inference

Self hosted GitHub action runners on each different platform for build/deploy of various projects: tauri v2, apis, web uis, native macOS apps, Unity 3d

None of this existed a month ago and it’s been a blast pretending to run my own platform