Defensive programming is explored through a practical example of parsing a time string in Swift. Starting from a naive implementation that crashes on bad input, the post walks through progressively more robust approaches: nil checks, logging warnings, providing default fallback values, and even correcting corrupted data on the fly. A decision framework is provided to help developers choose the right level of defensiveness based on factors like data reliability, system criticality, release cadence, and test coverage.
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