Automatically analyze incoming bug reports, gather relevant code context, and route them to the right team with AI-powered severity assessment.
Workflow Steps
Jira
Capture new bug report
Trigger when a new issue is created with 'Bug' issue type. Extract the title, description, steps to reproduce, and any attached files or screenshots.
GitHub
Fetch related code context
Search the repository for files, functions, or components mentioned in the bug report. Retrieve recent commits and PR history for the affected areas to provide code context.
OpenAI GPT-4
Analyze and assess severity
Combine bug report details with code context to determine severity level (Critical/High/Medium/Low), identify likely root cause area, and suggest which team should handle it based on affected components.
Jira
Update and assign ticket
Automatically update the ticket with AI analysis, set appropriate severity label, assign to the recommended team/component lead, and add a comment with the assessment reasoning.
Workflow Flow
Step 1
Jira
Capture new bug report
Step 2
GitHub
Fetch related code context
Step 3
OpenAI GPT-4
Analyze and assess severity
Step 4
Jira
Update and assign ticket
Why This Works
Combining bug symptoms with actual code context gives AI much better information to make accurate severity and routing decisions than bug reports alone.
Best For
Software teams handling high volumes of bug reports who need faster, more accurate triage
Explore More Recipes by Tool
Comments
No comments yet. Be the first to share your thoughts!