The Impact of AI-Assisted Development on Software Security: A Study of Gemini and Developer Experience
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866910055927906304 |
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| author | Jost, Nadine Berens, Benjamin Karl, Manuel Horstmann, Stefan Albert Johns, Martin Naiakshina, Alena |
| author_facet | Jost, Nadine Berens, Benjamin Karl, Manuel Horstmann, Stefan Albert Johns, Martin Naiakshina, Alena |
| contents | The ongoing shortage of skilled developers, particularly in security-critical software development, has led organizations to increasingly adopt AI-powered development tools to boost productivity and reduce reliance on limited human expertise. These tools, often based on large language models, aim to automate routine tasks and make secure software development more accessible and efficient. However, it remains unclear how developers' general programming and security-specific experience, and the type of AI tool used (free vs. paid) affect the security of the resulting software. Therefore, we conducted a quantitative programming study with software developers (n=159) exploring the impact of Google's AI tool Gemini on code security. Participants were assigned a security-related programming task using either no AI tools, the free version, or the paid version of Gemini. While we did not observe significant differences between using Gemini in terms of secure software development, programming experience significantly improved code security and cannot be fully substituted by Gemini. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_15298 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The Impact of AI-Assisted Development on Software Security: A Study of Gemini and Developer Experience Jost, Nadine Berens, Benjamin Karl, Manuel Horstmann, Stefan Albert Johns, Martin Naiakshina, Alena Software Engineering Human-Computer Interaction The ongoing shortage of skilled developers, particularly in security-critical software development, has led organizations to increasingly adopt AI-powered development tools to boost productivity and reduce reliance on limited human expertise. These tools, often based on large language models, aim to automate routine tasks and make secure software development more accessible and efficient. However, it remains unclear how developers' general programming and security-specific experience, and the type of AI tool used (free vs. paid) affect the security of the resulting software. Therefore, we conducted a quantitative programming study with software developers (n=159) exploring the impact of Google's AI tool Gemini on code security. Participants were assigned a security-related programming task using either no AI tools, the free version, or the paid version of Gemini. While we did not observe significant differences between using Gemini in terms of secure software development, programming experience significantly improved code security and cannot be fully substituted by Gemini. |
| title | The Impact of AI-Assisted Development on Software Security: A Study of Gemini and Developer Experience |
| topic | Software Engineering Human-Computer Interaction |
| url | https://arxiv.org/abs/2603.15298 |