There already are use-cases for automatic software deployment where monitoring is ingested back to the AI, which then judges to rollback/fix a feature if certai

There already are use-cases for automatic software deployment where monitoring is ingested back to the AI, which then judges to rollback/fix a feature if certain metrics spike/user complaints arive. If you had the data basis (user reports, trends, ...) you could let the AI decide upon that what to build.