Potenciales Y Desafíos De Github Copilot Como Herramienta De Inteligencia Artificial

This article investigates the main potentialities and challenges of using GitHub Copilot as an Artificial Intelligence tool, highlighting the areas in which its benefits have been applied. This proposal was achieved based on the exploration and analysis of 12 empirical studies using GitHub Copilot as a tool used by Programmers/Developers, whose source was the repository of the Computer Science Center at Cornell University. The results showed that GitHub Copilot is a promising tool for increasing productivity, with a view to making the daily tasks of its users easier and more agile, so that its platform hosts a significant mass of users, made up of Programmers, Developers, Organizations and Code repositories. The study concludes that GitHub Copilot has potential to: increase Productivity, Code Programming, Natural Language Processing; make coding more efficient through new resources, the solution of algorithm and buggy problems, and these benefits occur in the area of Software Engineering, without exception. The challenges of using this tool are due to the Security of the generated code and the need to improve processes related to the tasks of Programmers/Developers. These diagnosed obstacles can be minimized through strategic tools available to mainly correct coding errors, and others, by the users themselves, in favor of the growth of GitHub Copilot.