Дослідження та розробка моделі інтелектуального ШІ-асистента для інтеграції процесів дизайну та розробки

Abstract

The article examines the problem of fragmentation between design and development processes in digital product creation, which remains one of the significant challenges in the development of modern interfaces, web services, mobile applications, and complex software systems. Despite the active development of UX/UI design, product methodologies, and software development tools, gaps often arise between the stages of user experience design, visual interface design, and technical implementation. These gaps lead to the loss of project context, inaccurate transfer of design decisions into code, duplication of tasks, inconsistencies between team members, an increased number of revisions, and a decrease in the overall quality of the final digital product. The paper analyzes current approaches to the use of artificial intelligence in UX/UI design and software development. The capabilities of AI tools in generating textual, visual, and structural content, supporting decision-making, automating routine operations, analyzing interfaces, and accelerating individual stages of digital product creation are considered. At the same time, the key limitations of existing solutions are identified, including insufficient contextual awareness, weak integration into the working environment of designers or developers, the lack of long-term semantic memory, limited ability to perform systematic interface analysis, and fragmented support across different stages of the product life cycle. A conceptual model of an intelligent AI assistant is proposed, aimed at integrating design and development processes through analysis, generation, learning, and real-time user support. The architecture of the system is described as being based on a modular approach and including subsystems for task formulation, content perception, multi-level analysis, solution generation, semantic memory, external integration, voice interaction, and an interface agent. Special attention is paid to the system’s ability to take into account the project context, previous decisions, interface requirements, component structure, design system rules, and the logic of user interaction. The obtained results provide a theoretical foundation for the further development of next-generation intelligent information technologies that are capable not only of automating individual tasks but also of acting as full-fledged participants in the digital product creation process. The proposed model can be used as a basis for further research in the field of integrating UX/UI design, software development, and artificial intelligence, as well as for creating practical tools to support designers, developers, and product teams.