GitHub Issues

Development

Auto-fix GitHub issues with parallel AI agents

• Spawn up to 8 concurrent fix agents
• Watch mode polls for new issues
• Auto-create branches and open PRs

What You Can Do

• Fetch issues by filter - Query by label, milestone, assignee, state, or repository
• Parallel sub-agents - Spawn up to 8 concurrent agents for simultaneous fixes
• Auto-branch and PR - Automatically create branches, implement fixes, and open pull requests
• Fork mode - Work on forked repos with proper upstream tracking
• Watch mode - Continuous polling at configurable intervals for new issues
• PR review handler - Detect actionable review comments and spawn fix agents
• Cron mode - Sequential processing for scheduled CI/CD automation
• Dry-run - Preview what would happen without executing fixes
• Telegram notifications - Real-time updates on progress and completions
• 6-phase pipeline - Fetch, filter, pre-flight, spawn, collect results, handle reviews

Try Asking

• "Fix all issues labeled 'bug' in this repo"
• "Watch for new issues every 10 minutes and auto-fix them"
• "Process issues in milestone v2.0 assigned to me"
• "Handle review comments on open PRs"
• "Dry-run fixes for the last 5 issues"
• "Auto-fix issues using fork mode against upstream"

Pro Tips

• Watch mode creates a continuous fix loop - great for active repositories
• Parallel mode (up to 8 agents) dramatically speeds up multi-issue batches
• Dry-run mode previews everything before making any changes
• Fork mode is essential for open-source contributions
• Cron + reviews-only mode handles PR feedback automatically
• Confidence check (7/10 minimum) prevents low-quality fixes from being submitted

Plans

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