Seems like we might need to go to different issue tracking model for AI reports. Such reports must not only provide a bug report/issue but must provide a fix as well. That fix must then be reasoned back to why it solves the bug, why it is minimal, why it is unlikely to silently cause new bugs. It can't introduce new capabilities/side-effects. The platform verifies the claims in the report using another LLM. Then the tests are run, which are no longer publicly accessible to avoid slipping malicious code through the cracks. When okay the patch can go into staging. Perhaps a special version containing only accumulated AI fixes.