Artificial Intelligence-Guided Web Development – Generating MongoDB Queries

Keywords:
Artificial intelligence tools, Code generator tools, Web development, MongoDB

Abstract:
The topic of this paper is artificial intelligence (AI) guided web development with a focus on MongoDB databases. An online tool for automated generating code is used to investigate the issues arising in artificial intelligence-guided database query writing. For that purpose, a database in the MongoDB Compass framework is created. Within the research, a set of 28 prompts for generating appropriate database queries has been given to the tool. Then all obtained MongoDB queries are tested to see if they are correct by implementing them directly on the database in MongoDB Compass. All incorrect queries are analyzed, and a more precise prompt to the code generator tool is given subsequently. This process is repeated until a correct query is obtained. The aim has been to find out how precise a prompt to AI should be and what we should pay attention to if we want to obtain correct queries

CITATION:

IEEE format

Copy to clipboard

T. Krunić, “Artificial Intelligence-Guided Web Development – Generating MongoDB Queries,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 74-81. doi:10.15308/Sinteza-2024-74-81

APA format

Copy to clipboard

Krunić, T. (2024). Artificial Intelligence-Guided Web Development – Generating MongoDB Queries. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-74-81

BibTeX format
Download

RefWorks Tagged format
Download