The integration of artificial intelligence in software engineering is driving innovation by enabling highly flexible and responsive development methodologies. Modern software requirements are increasingly complex and demanding, necessitating the use of adaptive approaches to manage evolving needs and maintain product quality. While Agile frameworks have become the standard for prioritizing iteration and collaboration, AI-powered tools can further enhance these methodologies by providing predictive analytics and automated testing capabilities. For instance, AI-driven systems can analyze large datasets to identify potential bugs and vulnerabilities, allowing developers to address issues proactively. The incorporation of AI in software engineering has significant implications for the industry, as it can improve development efficiency and product reliability, so it matters to practitioners because it can help them stay competitive in a rapidly changing technological environment1.