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Article illustration for Generative AI in Testing: Can Machines Write Better Tests Than Humans in a Privacy-First World?
The central question is no longer just whether machines can write better tests than humans. It is whether AI systems - training pipelines included - can be built to respect privacy by design. Generative AI in testing relies heavily on data. Systems such as large language models, anomaly detection engines, and automated test case generators need vast and diverse datasets to function effectively
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Article illustration for How To Measure Technical Debt Before It Destroys Your Product
Like a snake slithering in the grass, Technical Debt has an uncanny ability to stay hidden - until it suddenly does not. It rarely announces itself with flashing warnings or dramatic system failures. Instead, it shows up as small annoyances: a feature that takes longer than expected, a bug that “should have been simple,” or a release that feels riskier than it used to.
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