lina-community-issue-review

Automate GitHub issue triage by classifying user submissions as bugs, feature requests, or questions based on source code. This eliminates manual review overhead, applies standardized labels, and posts context-aware comments to ensure consistent communication and organized backlogs.

Yes, automated triage can close duplicate, resolved, or invalid GitHub issues. By evaluating submissions against project specifications, the system identifies already addressed requests and closes them automatically, keeping the active issue queue focused on actionable development work.

Automated issue classification handles multi-language feedback by posting natural-language comments that match the issue's original language. This ensures every user receives a polite, standards-aligned response in their native language while maintaining consistent categorization across the repository.

The best way to label GitHub issues is through automated classification that categorizes submissions as bugs, feature requests, or questions based on project specifications and source code. This approach removes subjective manual judgment and applies standardized labels consistently.

No, you do not need to manually review GitHub issues to organize your backlog. Automated triage processes hundreds of community issues in minutes, applying standardized labels and closing resolved submissions to ensure every user gets a timely response without manual effort.