AI-generated bug reports are becoming a denial-of-service problem for maintainers
QEMU maintainers received more than 125 low-effort bug reports in minutes from one user, mostly UBSan output and assertions without a concrete reproducer, fix, or urgent failure. The volume turns automated bug hunting into an operational burden: maintainers must triage noise before they can find actionable defects.
This is the less glamorous side of harness engineering. Better model output does not remove the need for deduplication, evidence, rate limits, and a clear contribution contract; otherwise the project becomes the model’s unpaid evaluation queue.