Comparative Study of Artificial Intelligence Tools and Their Impact on Web Development: An Approach Based on Angular and Node.js
DOI:
https://doi.org/10.33936/isrtic.v9i1.7345Keywords:
Artificial intelligence, code generation, Angular, Node.jsAbstract
This article presents a comparative study of artificial intelligence (AI) tools for web development, focusing on Angular and Node.js. ChatGPT, Gemini, GitHub Copilot, and DeepSeek were analyzed, evaluating their ability to generate functional code using SonarQube. A practical case study based on a billing system was implemented, assessing key metrics such as maintainability, reliability, and security. The results indicate that all backend tools generate maintainable and reliable code, although minor security vulnerabilities were identified. Frontend generation posed more challenges in terms of reliability and maintainability, with common issues such as variable declarations without reassignment and the presence of empty files. ChatGPT and DeepSeek excelled in usability and error resolution, while GitHub Copilot and Gemini showed limitations during the development stage. The study concludes that while these tools enhance productivity and reduce the manual coding workload, they heavily depend on the precision and detail of the instructions provided by the developer, as well as human supervision to ensure software quality and security.
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Copyright (c) 2025 Dustin Adrian Cabrera Lavayen, Ricardo Josue Cabrera Calderón, Joofre Antonio Honores Tapia, John Patricio Orellana Preciado
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