The rise of artificial intelligence and large language models (AI/LLMs) is transforming software development, with over half of developers utilizing AI-powered tools to enhance efficiency. Organizations are increasingly integrating AI for writing secure code, as these tools can suggest improvements, identify vulnerabilities, and generate code from natural language. However, developers must be cautious of challenges like bias, misinformation, and overreliance on automation, which can introduce security risks. A balanced approach, combining AI’s capabilities with human expertise, is vital. Developers need robust training in secure coding practices to identify vulnerabilities and critically assess AI-generated code to maintain software integrity. The future of software development hinges on collaboration between AI and human developers, fostering a culture of continuous learning to maximize AI benefits while ensuring security.
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