MODELS 2026
Sun 4 - Fri 9 October 2026 Málaga, Spain

Low-Code Platforms (LCPs) and AI-assistants accelerate and democratize application development by generating artefacts through visual tools, drag-and-drop components, prebuilt logic, and LLMs for professional developers and citizen developers. While prior work has examined these approaches in isolation, their comparative use of these approaches for larger applications remains insufficiently understood. This paper presents a case study, in which multiple teams implemented the same web application over 13 weeks using LCPs, LCPs with AI integration, or AI-assisted development. The study combines report and repository analysis with longitudinal survey data to capture technology usage, development processes, and developer perceptions. Our results suggest that LCPs with integrated AI enhance the efficiency and predictability of development compared to traditional LCPs and purely AI-assisted development.