Abstract Generative AI tools are being widely adopted in software development because they help developer work faster and more efficiently. Most developers believe these tools save time and improve productivity. However, challenges related to productivity gain, code quality, code reliability, developers trust, ethical use, privacy as well as security still remain a major concern. This study offers a quantitative examination of GenAI tool adoption derived from a cross-sectional survey of 209 software development professionals and students. The result shows that GenAI tools increases productivity and reduces development time. Overall, people have a positive view of the code generated by these tools, though they understand that it may need careful review and refinement. One important finding is the gap in trust between less experienced and senior developers. While developers at all levels see the benefits, many senior professionals such team leads and architects are concerned about data security. In fact, over half of them (57.1%) do not trust GenAI tools with sensitive information. This lack of trust among experienced decision makers is one the major obstacle to using GenAI tools more deeply in enterprise projects. This study shows how important it is for GenAI tools to evolve in two ways: by making them more useful and by creating strong, verifiable trust and security framework
Bharathi et al. (Sat,) studied this question.