Stop driving Slicer by hand – give your agent the wheel (slicervm.com)

Slicer, a tool designed for managing lightweight Linux microVMs, has introduced AI agent skills to automate tasks traditionally performed manually in development environments. With Slicer, users can create a full Linux OS that boots in under a second, and then delegate tasks directly to an AI agent. This includes complex commands like setting up Docker, testing systemd services, or deploying applications to Kubernetes with ArgoCD, all through intuitive prompts. Such capabilities mark a significant advance for the AI/ML community as they streamline development workflows and reduce the friction often associated with environments like local Linux VMs. The introduction of these agent skills – which encompass operations from VM creation to command execution and file management – allows users to run end-to-end workflows efficiently. For example, an AI agent can manage the lifecycle of VMs, provision Kubernetes clusters, and safely handle sensitive information like GitHub tokens through a secure Slicer Proxy. This integration not only enhances productivity by automating labor-intensive processes but also demonstrates the scalability of AI applications in DevOps. The flexibility to work across various AI agents, such as OpenCode and Claude Code, reinforces the importance of seamless tool interoperability in advancing AI capabilities within software development.