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As synthetic intelligence (AI) is constantly on the advance, its role in software growth is expanding, using AI-generated code becoming increasingly prevalent. While AI-generated code offers the promise of faster development and possibly fewer bugs, this also presents unique challenges in testing and validation. Throughout this article, we all will explore the particular common challenges …

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go to this siteIn the rapidly evolving field of AI computer code generation, ensuring the quality and stability of generated signal is paramount. As AI systems are more complex, traditional testing strategies—such as unit testing, integration tests, plus end-to-end tests—must be adapted to meet the demands of these sophisticated systems. This specific article delves in …

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