Software testing is often the most repetitive aspect of a large software project, with many similar tests, customized slightly for different contexts, and then constant evaluation of those test results. AI coding techniques can simplify these intensive test review cycles. Instructor Mchael Smith walks you through the possibilities, from using AI to help you decide on testing targets and strategies through implementing them with ChatGPT, GitHub Copilot, and similar tools, as well as evaluating test reports.
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