Token spend is the new architecture smell

The article argues that token spend in AI coding agents is an architectural signal, not just a cost issue.

High usage often points to vague specs, oversized repo boundaries, repeated retries, and weak stopping rules.

It also says parallel agents only work well when routing, ownership, and review are clearly defined.

In this view, token usage can expose workflow leaks and software design problems that teams should fix.