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Choose efficient algorithms and appropriate data structures based on access patterns and computational requirements. Use built-in comparison methods like cmp() to avoid redundant checks, select data structures that match usage patterns (HashSet for lookups, Vec for iteration), and ensure algorithmic correctness by handling edge cases properly.

Key practices:

• Use match with cmp() for version/ordering comparisons instead of multiple if-else conditions
• Choose HashSet over Vec when doing frequent containment checks: “Since we’re just doing contains lookups, a hashset would be better, no?”
• Ensure total ordering in comparison functions - consider topological sorting when dependencies exist: “You’ll most likely have to do a topological sort, if the intention is to arrange the nodes in their dep order”
• Handle edge cases in tree traversal algorithms, especially with zero-width nodes or empty ranges
• Avoid brittle algorithmic assumptions like “the name field is always within the first three lines”
• Implement iterator protocols correctly, ensuring size_hint() returns remaining elements count

Example of efficient comparison:

// Instead of multiple if-else conditions
match new_version.cmp(&current_version) {
    Ordering::Less => eprintln!("Warning: new version is lower than current!"),
    Ordering::Greater => println!("Bumping version {current_version} to {new_version}"),
    Ordering::Equal => println!("Keeping version {current_version}"),
}