How to Build a Python MCP Server With Tool Calls
Learn FastMCP's decorator pattern to wire Python functions as callable tools for AI agents.
Learn FastMCP's decorator pattern to wire Python functions as callable tools for AI agents.
Running untrusted C code requires hardware virtualization, not containers.
Different isolation models require profilers that live inside the guest sandbox itself.
Optimizing what goes into sandbox base images cuts cold-start time from minutes to seconds.
Shape of demand, not volume, determines whether a sandbox platform survives production scale.
Setting timeout policy wrong costs money, leaks resources, and creates security exposure.
Snapshots cut sandbox restart time from seconds to milliseconds.
Cold-start costs and idle compute now force teams to size pools deliberately instead of guessing.
Freezing and resuming sandbox state cuts long-running agent failures in half.
Untrusted AI code requires kernel isolation that standard containers can't provide.
AI agents need sandboxes that boot in milliseconds, not seconds.
Faster starts don't guarantee better isolation—the tradeoff matters more than the benchmark.