Infrastructure Review Stack

Different tools work at different stages of agent development, not just one platform for all.

Published benchmarks overstate agent capability by ignoring planning failures and tool-use realism.

Matching evaluation frameworks to agent architectures prevents costly deployment failures.

A benchmark's design choices shape what its scores actually reveal about model reasoning.

Benchmarks built for chatbots don't measure what infrastructure agents actually fail at.

Choosing the right sandbox trades security guarantees for startup time and cost.

AI agents break traditional sandbox cost models because they burst and idle, not run continuously.

Production deployments of AI agents hit a wall when sandboxes can't balance speed against isolation.

Isolation strength and egress policy matter more than the platform you choose.

Containers alone won't stop AI agents from leaking data or escaping to neighboring tenants.

Blocking outbound connections is the only layer that reliably stops compromised agents.