Developer re-evaluates importance of test evidence over code metrics in AI era

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A developer argues that test evidence, not just code coverage metrics, has become a crucial professional indicator of work quality. This shift in perspective followed a personal incident where a critical authentication bug was missed by unit tests but caught by a Docker-based test. The author notes that with AI-generated code becoming common, concrete proof of a system's reliability through field tests and failure reports is now more valuable. They have started publicly committing detailed test reports and failure lists to their repositories, which has led to constructive external audits and discussions.

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