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Ruby, despite its elegant design and focus on developer happiness, still has common anti-patterns that can lead to bugs, performance issues, and maintenance problems. Here are the most important anti-patterns to avoid when writing Ruby code.
Using eval can lead to serious security vulnerabilities. Use safer alternatives like parsing libraries or DSLs.
Ruby’s block syntax ensures resources are properly cleaned up, even if exceptions occur.
Class variables (@@var) are shared across the entire class hierarchy, which can lead to unexpected behavior. Use class instance variables (@var in class methods) instead.
Monkey patching core classes can lead to conflicts with other libraries and unexpected behavior. Use refinements or utility modules instead.
When using method_missing, always implement respond_to_missing? to ensure methods like respond_to? and method work correctly.
Ruby’s Enumerable module provides powerful methods for working with collections. Use them instead of manual iteration.
Global variables make code hard to test and reason about. Use dependency injection or configuration objects instead.
String interpolation is more readable and often more efficient than string concatenation.
Keyword arguments are more explicit and provide better error messages than options hashes.
Create a proper exception hierarchy and use specific exception types for better error handling.
Use destructuring assignment to extract values from arrays and other enumerable objects.
Use case expressions for cleaner, more readable code when comparing a value against multiple options.
Use the safe navigation operator (&.) to simplify nil checks in method chains.
Use freeze to prevent accidental modification of constants and other objects that should be immutable.
Use splat operators (* and **) for more flexible method arguments.
Use the symbol to proc shorthand (&:method_name) for cleaner code when calling a single method in a block.
Use tap to perform operations on an object and return the object itself, avoiding temporary variables.
Prefer composition over inheritance by using modules to share behavior across classes.
Use Struct for simple value objects to reduce boilerplate code.
Use enumerators and lazy evaluation for more memory-efficient processing of large collections.
Use memoization to cache the results of expensive calculations.