The rapid adoption of machine learning is dramatically impacting how software engineers operate . AI-powered coding assistance tools are increasing output, while intelligent testing frameworks are refining performance. Furthermore, AI are now being utilized to pinpoint defects earlier in the software lifecycle, leading to minimized risks and accele