Agents Flood Feedback Endpoint With 670 Tickets

Agent-native feedback is quickly becoming a product-quality signal, but volume only helps if teams can separate actionable reports from noise.

• –Agents can detect bugs, missing features, and documentation gaps at machine scale
• –The endpoint’s accidental discovery highlights the importance of agent-facing documentation and discoverability
• –Authentication, rate limits, deduplication, and abuse controls become essential at this volume
• –Useful submissions should include model, harness, version, request IDs, and reproduction context
• –A closed loop connecting reports to triage, fixes, and status updates could turn feedback into a self-improving product pipeline