Automating the Code: Exploring AI-Powered Development Tool Github Copilot

As the demand for faster and more efficient software development grows, artificial intelligence (AI) has emerged as a transformative force in automating various aspects of coding. This paper explores the integration of AI-powered development tool Github Copilot that streamlines the coding process, enhance productivity, and assist developers in solving complex programming challenges. We examine key AI-driven technologies such as code completion, bug detection, automated refactoring, and intelligent code generation, highlighting their capabilities and applications. Additionally, we analyze the role of machine learning and natural language processing in improving software development workflows, reducing human error, and enabling better decision-making. Through case studies and real-world examples, this paper assesses the benefits and limitations of AI-powered tools in coding environments, while considering ethical implications and the future of AI in programming. Ultimately, we present a comprehensive view of how AI is revolutionizing the coding landscape, paving the way for a more efficient and innovative approach to software development.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-02
DOI
https://doi.org/10.5281/zenodo.14646829
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
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article

Automating the Code: Exploring AI-Powered Development Tool Github Copilot

Zenodo (CERN European Organization for Nuclear Research)
Software Engineering Research
article

Automating the Code: Exploring AI-Powered Development Tool Github Copilot

article en

Abstract

As the demand for faster and more efficient software development grows, artificial intelligence (AI) has emerged as a transformative force in automating various aspects of coding. This paper explores the integration of AI-powered development tool Github Copilot that streamlines the coding process, enhance productivity, and assist developers in solving complex programming challenges. We examine key AI-driven technologies such as code completion, bug detection, automated refactoring, and intelligent code generation, highlighting their capabilities and applications. Additionally, we analyze the role of machine learning and natural language processing in improving software development workflows, reducing human error, and enabling better decision-making. Through case studies and real-world examples, this paper assesses the benefits and limitations of AI-powered tools in coding environments, while considering ethical implications and the future of AI in programming. Ultimately, we present a comprehensive view of how AI is revolutionizing the coding landscape, paving the way for a more efficient and innovative approach to software development.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 42%
Software Engineering Research
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Automating the Code: Exploring AI-Powered Development Tool Github Copilot · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS