International Journal of Leading Research Publication

E-ISSN: 2582-8010   •   Impact Factor: 9.56

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 April 2025 Submit your research before last 3 days of to publish your research paper in the issue of April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

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

Author(s) AzraJabeen Mohamed Ali
Country United States
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.
Keywords Artificial Intelligence, Refactoring, Copilot, Machine Learning, Natural Language Processing
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 5, Issue 10, October 2024
Published On 2024-10-02
Cite This Automating the Code: Exploring AI-Powered Development Tool Github Copilot - AzraJabeen Mohamed Ali - IJLRP Volume 5, Issue 10, October 2024. DOI 10.5281/zenodo.14646830
DOI https://doi.org/10.5281/zenodo.14646830
Short DOI https://doi.org/g8zr8k
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJLRP DOI prefix is
10.70528/IJLRP

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 5 Isu 12 Cover Page Vol 5 Isu 11 Cover Page Vol 5 Isu 10

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJLRP
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijlrp.com