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!
This lets AI work on cloned production sandboxes vs running on production instances. Yes you can sandbox Claude Code on a production box, but it cannot test changes like it would for production-breaking changes. Sandboxes give AI this flexibility allowing it to safely test changes and reproduce things via IaC like Ansible playbooks.
and on the website: https://fluid.sh
But fluid lets AI investigate, explore, run commands, and edit files in a production-cloned sandbox. LLMs are great at writing IaC, but the LLMs won't get the right context from just generating an Ansible Playbook. They need a place to run commands safely and test changes before writing the IaC. Much like a human, hence the sandbox.
https://docs.google.com/spreadsheets/d/1Uy2aWoeRZopMIaXXxY2E...
I don’t remember where I got this link from
I am now so deep into the rabbit hole that I have made a version that runs entirely in the browser and an ESP32 version. I have now also taken the printer apart to find that the built in BLE is an external module and I could interface directly with the printer by replacing it with my own custom PCB...
[1] https://sschueller.github.io/posts/making-a-label-printer-wo...