How to think about testing AI systems
Testing AI systems requires a different mental model than testing traditional software. The outputs are probabilistic, the failure modes are subtle, and the standard unit-test-to-integration-test pyramid does not map cleanly onto AI. Here is what a more useful testing framework looks like.
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How AI is changing software testing
AI tools are reshaping software testing in ways that go beyond generating test boilerplate. The more interesting changes are in what gets tested, who finds the gaps, and how teams decide what 'enough coverage' means.
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