The rise of AI coding assistants allows for rapid application development, offering a significant competitive advantage for teams. However, this speed introduces security concerns as AI-generated code often bypasses traditional peer review processes, potentially shipping vulnerabilities directly to production. To mitigate these risks, a thorough security checklist is crucial, focusing on areas like secret management, dependency verification, and input validation, as AI models can perpetuate insecure patterns and even hallucinate non-existent packages.
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