The Impact of AI Tools on Software Development: A Case Study with GitHub Copilot and Other AI Assistants

Sergio Cavalcante, Erick Ribeiro, Ana Oran

2025

Abstract

Background - With the increasing complexity of software projects and the demand for rapid and high-quality deliveries, Generative Artificial Intelligence (GenAI) tools have emerged as powerful allies in software development. Objective - This study aims to evaluate the impact of using Code Generation Assistants—such as GitHub Copilot, ChatGPT, and Gemini—in software development environments. Method - We conducted a satisfaction survey with 57 volunteers in an R&D organization, including developers, test analysts, and product owners, collecting quantitative and qualitative data on the use of these tools. Results - The results indicate that the use of these tools significantly increased productivity, improved code quality, and accelerated professional learning. Additionally, it facilitated the automation of repetitive tasks, allowing focus on more complex challenges. However, challenges such as the need for constant review of generated code and the risk of excessive dependency were identified. Conclusion - We conclude that, despite the challenges, GenAI tools have a significant positive impact on software development, and organizational support is crucial to maximize their benefits.

Paper Citation

in Harvard Style

Cavalcante S., Ribeiro E. and Oran A. (2025). The Impact of AI Tools on Software Development: A Case Study with GitHub Copilot and Other AI Assistants. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 245-252. DOI: 10.5220/0013294700003929

in Bibtex Style

@conference{iceis25,
author={Sergio Cavalcante and Erick Ribeiro and Ana Oran},
title={The Impact of AI Tools on Software Development: A Case Study with GitHub Copilot and Other AI Assistants},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2025},
pages={245-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013294700003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - The Impact of AI Tools on Software Development: A Case Study with GitHub Copilot and Other AI Assistants
SN - 978-989-758-749-8
AU - Cavalcante S.
AU - Ribeiro E.
AU - Oran A.
PY - 2025
SP - 245
EP - 252
DO - 10.5220/0013294700003929
PB - SciTePress