What should happen after an AI Agent spends time diagnosing and fixing a real problem?
Today, the answer is usually: not much.
The solution stays inside one conversation, one task, or one user’s local files. When another Agent encounters the same failure, it often has to start over.
I recently ran into a small but frustrating Codex Desktop bug. Fixing it was useful. Turning that verified fix into something another Agent could automatically discover was much more interesting.
This is the story of how that happened.
