AI Bug Description Generator

Provide what you observed and Mutqan AI writes a professional, reproducible bug report in Markdown or Jira format, asking for missing details.

Privacy: Requires a free Mutqan account. Your input is sent to the Mutqan AI service to generate the result; prompts and results are not stored — only your account's usage counts for the daily allowance. How the AI tools work
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What makes a good bug report?

A good bug report lets someone else reproduce the problem without asking: a specific title, numbered steps, the expected and the actual result, the environment (build, browser, device, account), data used, and evidence such as a screenshot or log. Severity describes the impact on the system (a crash, data loss); priority describes how soon the business wants it fixed — the two are set separately and often differ.

Read the guide: How to Write a Bug Report

How to use AI Bug Description Generator

  1. Paste your notes about the bug — what you did, what you saw, what you expected.
  2. Optionally add the environment (browser, OS, app version, URL) and choose the report format: Markdown for GitHub, GitLab or Azure DevOps, or Jira wiki markup.
  3. Pick the output language and press Generate.
  4. Answer the missing-information questions, attach the evidence on the checklist, then paste the formatted report into your tracker (or download it or the JSON).

AI Bug Description Generator features

  • Complete report: title, summary, environment, preconditions, numbered steps, expected vs actual, severity, priority, frequency, workaround
  • Attachments checklist and questions for missing details
  • Rendered in Markdown or Jira wiki markup
  • Never invents facts that are not in your notes

AI Bug Description Generator example

Notes → report

Input:

discount code twice → NaN total, chrome on mac, reload fixes it

Output:

## [Checkout] Order total shows NaN when a discount code is applied twice
**Severity:** Critical · **Priority:** P0
### Steps to reproduce
1. …

Frequently asked questions about AI Bug Description Generator

What if I do not know the browser or version?

Leave it out. The report keeps the field minimal and lists the missing details as questions instead of inventing them.

How is the severity decided?

By impact, checked from the top so that the first level that fits applies: Blocker when a core flow cannot be completed and there is no workaround; Critical for data loss or corruption, a security problem, a failed payment or a major function broken for most users; Major when an important function is broken but a workaround exists or few users are affected; Minor for a small functional, cosmetic or edge-case problem; and Trivial for a typo or a negligible cosmetic detail. The AI Bug Severity Suggestion tool applies the same rubric.

Can I get the report in Jira format?

Yes. Choose Jira wiki markup and the formatted report uses h2. headings, # numbered lists and *bold*; choose Markdown for GitHub, GitLab or Azure DevOps.

Technical notes

The report has a title, a summary, the environment, preconditions, numbered steps to reproduce from a known state, expected and actual results, a severity (Blocker to Trivial), a P0–P3 priority, the frequency and any workaround, plus an attachments checklist and questions for anything your notes did not say. The whole report is also rendered in the format you chose.

References