Bug Triage Slack Bot
Built a Slack bot that automatically triages bug reports, enriches them with context from logs and code, and routes them to the right team.
Technologies Used
Key Features
Project Overview
Built a Slack bot that transforms unstructured bug reports into triaged, enriched tickets with relevant context from logs and codebase—then routes them to the right team.
The Challenge
Bug reports arrived in a shared Slack channel as free-text messages. Engineers spent significant time triaging: reading vague descriptions, hunting through logs, identifying the responsible team, and checking for duplicates. High-priority bugs got lost in the noise.
What I Did
Built an intelligent triage pipeline integrated with Slack:
- Natural Language Triage: The bot parses bug reports in natural language, extracting affected features, severity indicators, and reproduction steps
- Context Enrichment: Automatically pulls relevant error logs, recent deployments, and related code changes to attach to each report
- Duplicate Detection: Compares new reports against recent bugs using semantic similarity, flagging likely duplicates before they create redundant work
- Smart Routing: Routes enriched tickets to the appropriate team based on affected components, with escalation paths for critical issues
Outcome
Triage time dropped significantly. Engineers receive pre-enriched bug reports with relevant context already attached, allowing them to start debugging immediately instead of investigating the report itself. High-priority bugs surface faster, and duplicate reports are caught before they consume engineering time.