Infrastructure Review Stack — Page 5

Containers alone can't isolate AI agents safely when model-generated code runs untrusted.

Blocking outbound connections is the actual security boundary, not isolation technology.

Recognizing failure patterns lets you fix one without breaking another.

Enforce tool-calling contracts at runtime, not just in model training.

State persistence is what separates production agents from demo systems that restart from scratch.

Agent systems hide failures in plain sight without purpose-built observability.

Secure runtime infrastructure, not model quality, determines whether AI agents reach production.

Understanding each layer's failure mode prevents weeks of debugging the wrong problem.

Choosing the wrong coordination pattern is why multi-agent systems fail in production.

Choosing the wrong framework means catching bugs after deployment instead of before.

Most multi-agent pilots never ship because infrastructure isn't built for how agents actually run.