Note: nothing against fluid.sh, I am struggling to figure out something to build.

What does that mean?

Fluid is a terminal agent that do work on production infrastructure like VMs/K8s cluster/etc. by making sandbox clones of the infrastructure for AI agents to work on, allowing the agents to run commands, test connections, edit files, and then generate Infra-as-code like an Ansible Playbook to be applied on production.

Why not just use an LLM to generate IaC?

LLMs are great at generating Terraform, OpenTofu, Ansible, etc. but bad at guessing how production systems work. By giving access to a clone of the infrastructure, agents can explore, run commands, test things before writing the IaC, giving them better context and a place to test ideas and changes before deploying.

I got the idea after seeing how much Claude Code has helped me work on code, I thought "I wish there was something like that for infrastructure", and here we are.

Why not just provide tools, skills, MCP server to Claude Code?

Mainly safety. I didn't want CC to SSH into a prod machine from where it is running locally (real problem!). I wanted to lock down the tools it can run to be only on sandboxes while also giving it autonomy to create sandboxes and not have access to anything else.

Fluid gives access to a live output of commands run (it's pretty cool) and does this by ephemeral SSH Certificates. Fluid gives tools for creating IaC and requires human approval for creating sandboxes on hosts with low memory/CPU and for accessing the internet or installing packages.

I greatly appreciate any feedback or thoughts you have, and I hope you get the chance to try out Fluid!

Scary? A little but it's doing great. Not entirely sure why a specialized tool is needed when the general purpose CLI is working.

I really like this idea. I do a lot of kubernetes ops with workloads I'm unfamiliar with (and not directly responsible for) and often give claude read access in order to help me debug things, including with things like a grafana skill in order to access the same monitoring tools humans have. It's saved me dozens of hours in the last months - and my job is significantly less frustrating now.

Your method of creating ansible playbooks makes _tons_ of sense for this kind of work. I typically create documentation (with claude) for things after I've worked through them (with claude) but playbooks is a very, very clever move.

I would say something similar but as an auditable, controllable kubernetes operator would be pretty welcome.

I'm already using LLM to generate things and I'm not sure what this adds. The Demo isn't really doing it for me but maybe I'm wrong target for it. (What is running on that server? You don't know. Build your cattle properly!)

Maybe this is better for one man band devs trying to get something running without caring beyond, it's running.

Interesting idea, few things:

- The website tells less than your comment here. I want to try but have no idea how destructive it can be.

- You need to add / mention how to do things in the RO mode only.

- Always explain destructive actions.

Few weeks ago I had to debug K8S on the GCP GDC metal, Claude Code helped me tons, but... I had to recreate whole cluster next day because agent ran too fast deleted things it should not delete or at least tell me the full impact. So some harness would be nice.