{"slug": "the-impact-of-ai-assisted-development-on-software-security", "title": "The Impact of AI-Assisted Development on Software Security", "summary": "A study of 159 software developers found that Google's Gemini AI tool did not significantly improve code security compared to using no AI assistance. The research, conducted by Nadine Jost, showed that developers' programming experience was the primary factor in producing secure code, suggesting AI tools cannot fully substitute for human expertise in security-critical software development.", "body_md": "# Computer Science > Software Engineering\n\n[Submitted on 16 Mar 2026 (\n\n[v1](https://arxiv.org/abs/2603.15298v1)), last revised 17 Mar 2026 (this version, v2)]# Title:The Impact of AI-Assisted Development on Software Security: A Study of Gemini and Developer Experience\n\n[View PDF](/pdf/2603.15298)\n\n[HTML (experimental)](https://arxiv.org/html/2603.15298v2)\n\nAbstract: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.\n\n## Submission history\n\nFrom: Nadine Jost [[view email](/show-email/3a20af7b/2603.15298)]\n\n**Mon, 16 Mar 2026 13:59:06 UTC (441 KB)**\n\n[[v1]](/abs/2603.15298v1)**[v2]** Tue, 17 Mar 2026 10:48:08 UTC (441 KB)\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer\n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers\n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps\n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations\n\n*(*[What are Smart Citations?](https://www.scite.ai/))# Code, Data and Media Associated with this Article\n\nalphaXiv\n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers\n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub\n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub\n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face\n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast\n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower\n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender\n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [ Learn more about arXivLabs](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/the-impact-of-ai-assisted-development-on-software-security", "canonical_source": "https://arxiv.org/abs/2603.15298", "published_at": "2026-05-31 11:45:10+00:00", "updated_at": "2026-05-31 12:17:54.759251+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-tools", "ai-safety", "ai-research"], "entities": ["Gemini", "Google", "Nadine Jost"], "alternates": {"html": "https://wpnews.pro/news/the-impact-of-ai-assisted-development-on-software-security", "markdown": "https://wpnews.pro/news/the-impact-of-ai-assisted-development-on-software-security.md", "text": "https://wpnews.pro/news/the-impact-of-ai-assisted-development-on-software-security.txt", "jsonld": "https://wpnews.pro/news/the-impact-of-ai-assisted-development-on-software-security.jsonld"}}