AI-Assisted Low-Code Platforms in Modern Research

The emerge of low-code and no-code platforms has revolutionized the research paradigm, allowing users with little to no programming knowledge to develop applications. These platforms are enhanced by the integration of artificial intelligence. These technologies strive to reduce the complexity of developing software and allow both developers and nondevelopers to build applications while minimizing coding efforts. This paper summarizes existing research to provide a structured foundation on AI-assisted low-code platforms and presents a comparison of them. It also includes case studies comparing IFTTT, Power Automate, and Zapier to automate the research tasks of finding, classifying, and referencing academic articles.