Bug Triage Assistant
Convert scattered bug notes, Slack messages, or user complaints into structured engineering tasks with reproduction steps, severity, and root cause hypothesis.
Overview
Bug reports arrive in all shapes: a panicked Slack message, a half-finished issue, or a user email. This workflow configures an AI assistant to receive unstructured bug input and produce a consistent engineering-ready format — reproduction steps, severity classification, likely root cause, and test coverage gaps — ready to drop directly into your issue tracker.
Workflow
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Paste the raw report
Copy the bug report as-is — Slack message, email, or any raw text describing the problem.
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Run through the assistant
Send the pasted content to your AI model with this system prompt.
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Review the output
Check the severity classification and root cause hypothesis for accuracy before filing.
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File and assign
Paste the structured output directly into your issue tracker and assign to the relevant engineer.
Why This Workflow Works
- Separating reproduction steps from assumptions prevents speculation from masquerading as fact in the ticket
- Severity with required justification forces a reasoning step — classification without justification is just a guess
- Explicit test coverage gap field surfaces what the test suite failed to catch, making the fix more durable
- The 'Unknown — needs investigation' fallback prevents fabricated steps from entering the issue tracker
Best for
- Teams with high-volume informal bug reporting
- Engineers triaging a backlog of low-quality tickets
- Customer-facing teams forwarding user complaints to engineering
- On-call responders during an incident
Not for
- Automated bug detection — this processes reported bugs, not discovered ones
- Fixing bugs — this only structures the problem statement
- Highly domain-specific bugs requiring deep internal system context
Use cases
- Turning a Slack panic message into a tracker-ready ticket
- Processing user-submitted bug reports into actionable engineering tasks
- Classifying and prioritizing a backlog of informal bug notes
- Post-incident documentation before a formal postmortem