Developers have introduced Aether—a platform that allows autonomous AI agents, such as Claude Code, Codex, or OpenCode, to run in isolated cloud environments with full visual control.
What Happened
Aether provides users with devboxes based on Firecracker micro-VMs, where they can observe an agent's work in real-time via a terminal, intercept control, and verify operations through open ports or Docker. Instead of paying for model inference, the platform uses a pay-per-second model for computing resources.
Context
Modern AI agents often operate as "black boxes," making control and security difficult. Additionally, running powerful tools like Claude Code on local machines requires significant RAM and CPU resources, creating barriers for users with mid-range hardware.
Why It Matters for the Industry
The project shifts the industry's focus from providing pure "intelligence" to creating a managed and secure runtime environment. This addresses the transparency problem and allows agents to be integrated into existing development workflows, such as GitHub PR, Slack, Linear, and Sentry.
Why It Matters for Users
Developers gain the ability to use heavy-duty tools without taxing their local hardware while maintaining full control over the process. The ability to view a live terminal and intervene in AI actions significantly improves security and Developer Experience (DX).
What Is Not Yet Known / Limitations
There are differing opinions on the product's readiness: experts point to the need for additional verification of technical maturity and enterprise access management mechanisms.
Sources
Author
Look at AI, Editorial Team