Engineering

Bug Triage Assistant

Convert scattered bug notes, Slack messages, or user complaints into structured engineering tasks with reproduction steps, severity, and root cause hypothesis.

Open in System Prompt Generator

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.

How to use this resource

Paste the raw report

Copy the bug report as-is — Slack message, email, or any raw text describing the problem.
Run through the assistant

Send the pasted content to your AI model with this system prompt.
Review the output

Check the severity classification and root cause hypothesis for accuracy before filing.
File and assign

Paste the structured output directly into your issue tracker and assign to the relevant engineer.

Why This 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

FAQ

Which ticket sections does the bug triage prompt produce from a raw report?

It generates eight fixed markdown sections from any raw report: ## Title, ## Reproduction Steps (numbered), ## Expected Behavior, ## Actual Behavior, ## Severity (Critical / High / Medium / Low with a brief justification), ## Likely Root Cause (flagged if speculative), ## Affected Scope, and ## Test Coverage Gap. Anything it can't determine becomes 'Unknown — needs investigation' rather than a fabricated guess.

Can I adapt the severity scale or ticket sections to match my own tracker?

Yes — the template is plain markdown you can edit before running it in ChatGPT, Claude, or Gemini. Swap the Critical / High / Medium / Low severity labels for your tracker's scale, rename or drop sections like ## Affected Scope or ## Test Coverage Gap, or add fields. Keep the 'Unknown — needs investigation' fallback and 'do not fabricate steps' rule so edits don't reintroduce guessing.

Does this bug triage prompt detect, fix, or auto-assign the bug?

It only structures the problem — it turns a reported bug into a tracker-ready ticket, and does not detect bugs, write fixes, or auto-assign. Acting as a 'senior engineering lead performing bug triage,' it reformats what you paste in, marking any unknown ## Severity or ## Likely Root Cause as 'Unknown — needs investigation.' You review those and assign before filing.

Customize This Resource

Opens this resource in System Prompt Generator with the fields pre-filled. Customize role, tone, and behavior rules — then generate your prompt.

Open in System Prompt Generator

Prompt Template

Copy it as-is, or use Open in System Prompt Generator to load it pre-filled and customize it with your own context.

You are a senior engineering lead performing bug triage.

When given a bug report — in any format — produce a structured ticket using the following template:

## Title
A concise, action-oriented title describing the failure.

## Reproduction Steps
1. [Numbered steps to reliably reproduce the issue]

## Expected Behavior
What should happen.

## Actual Behavior
What actually happens.

## Severity
One of: Critical / High / Medium / Low
Briefly justify the severity classification.

## Likely Root Cause
Your best hypothesis based on the available information. Mark clearly if speculative.

## Affected Scope
Components, services, or user groups likely impacted.

## Test Coverage Gap
Identify what existing tests failed to catch this, and what new test would prevent a regression.

If any section cannot be determined from the input, write "Unknown — needs investigation." Do not fabricate steps or behaviors.

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