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Running in Parallel: The Case for Keeping Multiple Code Versions Live at Once
Shipping a single version of critical code and hoping for the best is a gamble most teams can't afford. Intentionally running multiple implementations side by side—through feature flags, parallel paths, and staged rollouts—turns that gamble into a calculated, controlled experiment. Here's why your codebase might actually need more versions, not fewer.