mlsanityData to 14 Oct 2026

The Role of GitHub Copilot on Software Development: A Perspective on Productivity, Security, Best Practices and Future Directions

arXiv 2502.13199 ↗First posted 18 Feb 2025cs.SE cs.AIcited by 1

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Abstract (arXiv)

GitHub Copilot is transforming software development by automating tasks and boosting productivity through AI driven code generation. In this paper, we conduct a literature survey to synthesize insights on Copilot's impact on productivity and security. We review academic journal databases, industry reports, and official documentation to highlight key findings and challenges. While Copilot accelerates coding and prototyping, concerns over security vulnerabilities and intellectual property risks persist. Drawing from the literature, we provide a perspective on best practices and future directions for responsible AI adoption in software engineering, offering actionable insights for developers and organizations to integrate Copilot effectively while maintaining high standards of quality and security.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 13 of its 25 references that are in the map. First posted on arXiv 18 Feb 2025.

Builds on

13 of 25 references.

References · 13

  1. 2021Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributionscited by 431
  2. 2022GitHub Copilot AI pair programmer: Asset or Liability?cited by 152
  3. 2022Productivity Assessment of Neural Code Completioncited by 98
  4. 2023Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPTcited by 71
  5. 2023On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilotcited by 64
  6. 2023Assessing the Security of GitHub Copilot Generated Code -- A Targeted Replication Studycited by 26
  7. 2023When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programmingcited by 25
  8. 2021Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programmingcited by 24
  9. 2025Experience with GitHub Copilot for Developer Productivity at Zoominfocited by 8
  10. 2024Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulationcited by 7
  11. 2024GitHub Copilot: the perfect Code compLeeter?cited by 4
  12. 2024The Impact of AI Tool on Engineering at ANZ Bank An Empirical Study on GitHub Copilot within Corporate Environmentcited by 2
1 more
  1. 2025UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification with up to 54x fewer trainable parameters for resource constrained devicescited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

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  1. 2026From Overload to Insights: How AI Agents Can Support Scientists in Analyzing Complex Datacited by 0