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Generated from bd help --doc find-duplicates. Find issues that are semantically similar but not exact duplicates. Unlike ‘bd duplicates’ which finds exact content matches, find-duplicates uses text similarity or AI to find issues that discuss the same topic with different wording. Approaches: mechanical Token-based text similarity (default, no API key needed) ai LLM-based semantic comparison (requires ANTHROPIC_API_KEY or ai.api_key) The mechanical approach tokenizes titles and descriptions, then computes Jaccard similarity between all issue pairs. It’s fast and free but may miss semantically similar issues with very different wording. The AI approach sends candidate pairs to Claude for semantic comparison. It first uses mechanical pre-filtering to reduce the number of API calls, then asks the LLM to judge whether the remaining pairs are true duplicates. Examples: bd find-duplicates # Mechanical similarity (default) bd find-duplicates —threshold 0.4 # Lower threshold = more results bd find-duplicates —method ai # Use AI for semantic comparison bd find-duplicates —status open # Only check open issues bd find-duplicates —limit 20 # Show top 20 pairs bd find-duplicates —json # JSON output 
bd find-duplicates [flags]
Aliases: find-dups Flags: 
  -n, --limit int         Maximum number of pairs to show (default 50)
      --method string     Detection method: mechanical, ai (default "mechanical")
      --model string      AI model to use (only with --method ai; default from config ai.model)
  -s, --status string     Filter by status (default: non-closed)
      --threshold float   Similarity threshold (0.0-1.0, lower = more results) (default 0.5)