failureCaseMiner

To automatically extract failure cases from GitHub issues and pull requests, run a scan of recent development activity to identify bugs and their resolutions. This process structures the findings into phenomenon, root cause, fix, and lessons learned for documentation.

Documenting recurring code review mistakes for knowledge management involves codifying past errors into a structured file. By extracting issue details and resolutions into a centralized markdown file, teams create a reference base to prevent similar failures.

To consolidate sprint bugs and resolutions into a central knowledge base, scan recent GitHub activity and aggregate the extracted failure data. The refined cases are then deposited into a designated markdown file for team learning and future reference.

Failure case documentation does not require manually structuring root cause and fix details. The automation process refines extracted GitHub comments and issues into categorized fields including phenomenon, root cause, fix, and lessons learned automatically.

The default time frame scanned for extracting and codifying failure cases from GitHub activity is the last 30 days. This scanning period covers recent issues, pull requests, and code comments to ensure current failure data is captured.