AI Writes Mountains of Code, But Where Are the Breakthrough Products?

A thought piece on DEV Community draws a parallel between the Fermi paradox and the current state of AI-generated software, questioning why widespread AI coding activity has not produced visibly transformative products. Despite claims that AI agents now write code, catch bugs, review changes, and continuously improve themselves, everyday software and user experiences remain largely unchanged. The author presents multiple defenses for this gap — including invisible quality gains, organizational lag, and AI tools building more AI tools — but argues each one defers or relocates the evidence rather than pointing to it directly. The piece contends that metrics like code volume, pull-request counts, or agent activity do not resolve the paradox. Only observable outcomes — new capabilities, better user experiences, or results small teams could not previously achieve — would constitute a real answer.