AI-Generated Bug Report Quality Filter

C6/10March 2, 2026
WhatA triage layer for GitHub issue queues that detects AI-generated reports, scores their reliability, and flags fabricated claims before maintainers waste time investigating.
SignalMultiple maintainers express deep frustration at losing significant time chasing AI-written bug reports that contain embellished or fabricated details, making it impossible to distinguish real bugs from hallucinated ones without manual verification.
Why NowAI agents are now filing GitHub issues autonomously, and the volume of AI-generated slop in issue trackers has reached a breaking point in 2025-2026 as coding agents become mainstream.
MarketOpen source maintainers and enterprise engineering teams managing issue queues; could be a GitHub App with freemium pricing. Competitors like GitHub's own spam detection don't address AI-generated content specifically. TAM tied to ~100M+ GitHub repos.
MoatTraining data from labeled AI-generated vs. human issues creates a compounding data advantage; network effects as more repos adopt and contribute signal.
Anthropic Cowork feature creates 10GB VM bundle on macOS without warning View discussion ↗ · Article ↗ · 377 pts · March 2, 2026

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