When implementing algorithms, carefully evaluate trade-offs between built-in methods, custom implementations, and different algorithmic approaches. Consider factors like browser compatibility, performance characteristics, maintainability, and edge case handling. Key considerations: - **Compatibility vs. Performance**: Built-in methods may not be available in all target environments. For example, `Array.findLast()` requires Safari 15.4+, necessitating custom implementations for broader compatibility. - **Data Structure Handling**: Choose appropriate data structures based on usage patterns. For FormData processing, always using arrays simplifies logic despite slight overhead, while conditional arrays add complexity but optimize common cases. - **String Processing Approaches**: Consider regex vs. conditional logic based on complexity and performance needs. Regex may seem simpler but can introduce escaping issues and compilation overhead. Example from the discussions: ```typescript // Custom implementation for compatibility export function findLast( array: ReadonlyArray, predicate: (item: T) => boolean, ): T | undefined { for (let i = array.length - 1; i >= 0; i--) { const item = array[i]! if (predicate(item)) return item } return undefined } // vs. built-in (when available) array.findLast(predicate) ``` Document the reasoning behind algorithmic choices to help future maintainers understand the trade-offs made.