From the Jio team

Notes for building agents with better boundaries

Practical thinking on remote workspaces, MCP, isolation, and the infrastructure behind agent-driven development.

Browse by topic

Why AI agents need a machine of their own

A dedicated workspace gives an agent room to build while keeping your everyday machine outside the execution boundary.

Isolation starts with a precise answer to one question: what is the agent actually allowed to affect?

MCP gives agents a consistent way to call tools. The environment behind those tools still defines the safety boundary.

The best workspace is not always the cleanest one. Match its lifetime to the feedback loop your agent needs.

Remote execution does not require a remote agent loop. Keep intelligence local and move only the tools that create effects.

Moving builds and experiments away from a daily-use laptop can make agent workflows more repeatable and easier to debug.