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Select data structures and algorithms based on their performance characteristics and expected usage patterns. Consider the size of collections, access patterns, and computational complexity when making implementation choices.

Key considerations:

• Use HashSet instead of Vec for membership testing when collections can be large
• Choose data structures that preserve order when sequence matters (e.g., IndexMap vs HashMap)
• Prefer more efficient algorithms when available (e.g., checking if a commit is a head vs. evaluating all children)
• Combine operations to reduce computational overhead (e.g., union revset expressions rather than evaluating separately)

Example:

// Instead of Vec for large collections with frequent lookups
let already_tracked_bookmarks: Vec<String> = ...;
if already_tracked_bookmarks.contains(&bookmark) { ... } // O(n) lookup

// Use HashSet for O(1) average lookup time
let already_tracked_bookmarks: HashSet<String> = ...;
if already_tracked_bookmarks.contains(&bookmark) { ... } // O(1) lookup

This applies especially when dealing with user-facing operations that may scale with repository size or when processing large collections where the choice of data structure significantly impacts performance.