Using ChatGPT in agile mobile app workflows presents several challenges that demand careful consideration. A primary concern is its potential lack of deep contextual understanding of specific mobile operating systems, UI/UX guidelines, and platform-specific constraints, which can lead to generic or incompatible suggestions. While it can generate user stories or code snippets, ChatGPT often requires significant human oversight to ensure accuracy, relevance, and adherence to existing project architecture, particularly for complex mobile features. The dynamic nature of agile development means ChatGPT may struggle with real-time collaboration and rapid iterations, needing constant re-prompts and validation to keep pace with evolving requirements. Furthermore, organizations must address critical issues around data privacy and intellectual property risks when inputting sensitive project details into a public AI model. Finally, the possibility of AI hallucination or subtle biases could introduce flaws if outputs are not rigorously vetted by experienced mobile developers and product owners. More details: https://hc-vsetin.cz/media_show.asp?type=1&id=246&url_back=https://abcname.com.ua