A INFLUÊNCIA DA INTELIGÊNCIA ARTIFICIAL NA PRODUTIVIDADE DE DESENVOLVEDORES FRONT-END: UMA COMPARAÇÃO ENTRE GITHUB COPILOT, GROQ E CHATGPT

Artificial Intelligence (AI) has played a pivotal role in the digital transformation of various industries, significantly impacting software development. In the front-end development context, creating dynamic, efficient, and intuitive user interfaces is crucial to providing high quality user experiences and ensuring companies’ competitiveness. This article examines the impact of AI tools, such as GitHub Copilot, Groq, and ChatGPT, on the productivity of front end developers. The research investigates how these technologies optimize repetitive tasks, increase coding efficiency, and enhance the quality of generated code. The findings suggest that while AI offers remarkable advancements, the human role remains essential to interpret context, make critical decisions, and tailor results to the specific needs of projects.

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Publication Details

Journal
Revista fisio&terapia.
Published
2024-11-23
DOI
https://doi.org/10.69849/revistaft/ch10202411231038
Primary Topic
Big Data and Business Intelligence
Type
article
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article

A INFLUÊNCIA DA INTELIGÊNCIA ARTIFICIAL NA PRODUTIVIDADE DE DESENVOLVEDORES FRONT-END: UMA COMPARAÇÃO ENTRE GITHUB COPILOT, GROQ E CHATGPT

Marcos Printes
Revista fisio&terapia.
Big Data and Business Intelligence
article

A INFLUÊNCIA DA INTELIGÊNCIA ARTIFICIAL NA PRODUTIVIDADE DE DESENVOLVEDORES FRONT-END: UMA COMPARAÇÃO ENTRE GITHUB COPILOT, GROQ E CHATGPT

Marcos Printes
article en

Abstract

Artificial Intelligence (AI) has played a pivotal role in the digital transformation of various industries, significantly impacting software development. In the front-end development context, creating dynamic, efficient, and intuitive user interfaces is crucial to providing high quality user experiences and ensuring companies’ competitiveness. This article examines the impact of AI tools, such as GitHub Copilot, Groq, and ChatGPT, on the productivity of front end developers. The research investigates how these technologies optimize repetitive tasks, increase coding efficiency, and enhance the quality of generated code. The findings suggest that while AI offers remarkable advancements, the human role remains essential to interpret context, make critical decisions, and tailor results to the specific needs of projects.

Revista fisio&terapia.Vol. 29(140)
Industry, innovation and infrastructure
Openalex Percentile: Top 68%
Big Data and Business Intelligence
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