Show HN: Fluid.sh – Make Infrastructure Safe for AI (github.com)

Fluid.sh has announced a groundbreaking solution that allows AI agents to handle infrastructure tasks safely and autonomously, while mitigating risks associated with direct production changes. Through the use of isolated virtual machines (VMs), the Fluid.sh framework enables AI to execute tasks such as installing packages and configuring services. After the agents perform the work within a sandbox, a human operator must approve any changes before they can affect the production environment, ensuring a critical human-in-the-loop safety mechanism. This innovation is significant for the AI and machine learning community as it streamlines infrastructure management while addressing concerns about automation risks. The architecture is built on KVM virtual machines that provide full root access for the agent, with tools for snapshotting, diff auditing, and Ansible playbook generation to facilitate review and rollback processes. Additionally, the Python SDK allows developers to create autonomous agents, enhancing the capacity to implement AI-driven solutions without compromising production integrity. Overall, Fluid.sh presents an essential step forward in making AI infrastructure management both efficient and secure.