Comparative analysis of the applicability of artificial intelligence models for code generation

Main Article Content

Patryk Warchoł

patryk.warchol2k@gmail.com

https://orcid.org/0009-0000-0527-9520
Małgorzata Plechawska-Wójcik

m.plechawska@pollub.pl

https://orcid.org/0000-0003-1055-5344

Abstract


This article analyses the potential for using selected artificial intelligence models in the code generation process during the development of a web application. The analysis was conducted in the Windsurf environment using the Open Data Explorer project as a case study. These models were compared in terms of functional effectiveness, implementation efficiency, the quality of the generated code, project stability, and the types of errors that occurred during subsequent iterations. The results of the analysis were presented in the form of tables and comparative descriptions, which allowed for an assessment of the practical usefulness of the studied models in AI-assisted programming.


Keywords:

AI, LLM, code generation, AI-assisted programming, code quality, IDE

Sustainable Development Goal (SDG)

  • Industry, Innovation, Technology and Infrastructure

References

Article Details

Warchoł, P., & Plechawska-Wójcik, M. (2026). Comparative analysis of the applicability of artificial intelligence models for code generation. Journal of Computer Sciences Institute, 40, 255-262. https://doi.org/10.35784/jcsi.9777