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AI code assistants improve some security metrics but not overall API usage

A recent study investigated how AI code assistants, specifically GitHub Copilot, impact developers' use of security APIs. The research found that while Copilot improved functional correctness and slightly reduced insecure coding patterns, it did not significantly enhance the overall secure usage of these critical APIs. Developers using Copilot often failed to recognize that their code remained insecure, highlighting a need for improved security awareness in AI-assisted software development. AI

IMPACT AI code assistants may not inherently improve secure coding practices, necessitating further development in security awareness and tooling.

RANK_REASON The cluster contains an academic paper detailing an empirical study on AI code assistants.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI code assistants improve some security metrics but not overall API usage

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Zahra Mousavi, Chadni Islam, M. Ali Babar, Alsharif Abuadbba, Kristen Moore ·

    Understanding the Impact of AI Code Assistants on Security API Usage: An Empirical Study

    arXiv:2607.11348v1 Announce Type: cross Abstract: AI code assistants are transforming software development, but their implications for software security remain a major concern, particularly in the context of security APIs. These APIs are critical for safeguarding software systems…

  2. arXiv cs.AI TIER_1 English(EN) · Kristen Moore ·

    Understanding the Impact of AI Code Assistants on Security API Usage: An Empirical Study

    AI code assistants are transforming software development, but their implications for software security remain a major concern, particularly in the context of security APIs. These APIs are critical for safeguarding software systems, yet their complexity often leads to incorrect us…