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Bug Copilot

Track-1 Alignment: Bug report analyzer with live ticket feeds and report generation for longer horizons

Bug Copilot is a real-time bug report analyzer built using Pathway’s streaming engine.
It continuously monitors bug tickets and dynamically updates severity, priority, and reports as new information arrives.


Problem

Software teams receive bug reports continuously, but most traditional bug tracking tools are not truly real-time.
They require manual or repeated re-runs to reprocess data when new bug information arrives and typically assign priority only once. This leads to delayed responses, stale analysis, and critical issues going unnoticed.


Solution

Bug Copilot brings real-time intelligence to bug triaging.

  • Live monitoring of bug tickets using Pathway
  • Event-driven AI agent triggered on every update
  • Dynamic severity and priority updates
  • Reports evolve automatically over long horizons

The system always reflects the current system state, without batch reprocessing.


How it works

  1. Bug tickets are added or updated in data/tickets/
  2. Pathway detects changes in real time
  3. An AI agent reasons over cumulative bug history
  4. Updated insights and reports are generated instantly

Demo

Live monitoring with Pathway
Pathway live monitoring

Automatically generated bug report
Generated bug report


Why it matters

  • No manual reruns or re-triaging
  • Real-time focus on critical bugs
  • Clear visibility into recurring risks

Tech Stack

  • Pathway (real-time streaming engine)
  • Python
  • SentenceTransformers (MiniLM)

Setup & Usage

pip install -r requirements.txt
python main.py

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Bug report analyzer with live ticket feeds and report generation for longer horizons

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