Silent AI Bug Tracker

Help developers log, categorize and reproduce bugs silently introduced by AI coding agents

Problem

AI-generated code can pass existing tests yet cause real production failures. Developers struggle to identify which bugs came from AI, spot patterns, and debug faster.

Solution

A lightweight tool for developers to flag suspected AI-introduced bugs during merge or debug, capturing code snippets, test results, failure symptoms, and debug time. It auto-categorizes common patterns and generates shareable debugging checklists.

Users

Developers and tech leads in small teams using AI coding assistants

MVP

CLI or editor plugin for one-click bug submission; structured form for code/tests/symptoms; local SQLite storage; simple dashboard aggregating patterns; export shareable summary

Revenue

Team subscription per seat, free for individuals; paid advanced pattern library and team reports

Why now

AI coding tools are widespread but reliability issues are just emerging, with no systematic tracking tool; indie developers can ship fast and build a data moat