(R)evolution of Programming: Vibe Coding as a Post-Coding Paradigm
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866908595212255232 |
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| author | Krings, Kevin Bohn, Nino S. Ludwig, Thomas |
| author_facet | Krings, Kevin Bohn, Nino S. Ludwig, Thomas |
| contents | Recent advancements in generative artificial intelligence (GenAI), particularly large language models, have introduced new possibilities for software development practices. In our paper we investigate the emerging Vibe Coding (VC) paradigm that emphasizes intuitive, affect-driven, and improvisational interactions between developers and AI systems. Building upon the discourse of End-User Development (EUD), we explore how VC diverges from conventional programming approaches such as those supported by tools like GitHub Copilot. Through five semi-structured interview sessions with ten experienced software practitioners, we identify five thematic dimensions: creativity, sustainability, the future of programming, collaboration, and criticism. Our analysis conceptualizes VC within the metaphor of co-drifting, contrasting it with the prevalent co-piloting perspective of AI-assisted development. We argue that VC reconfigures the developers role, blurring boundaries between professional and non-developers. While VC enables novel forms of expression and rapid prototyping, it also introduces challenges regarding reproducibility, scalability, and inclusivity. We propose that VC represents a meaningful shift in programming culture, warranting further investigation within human-computer interaction (HCI) and software engineering research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_12364 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | (R)evolution of Programming: Vibe Coding as a Post-Coding Paradigm Krings, Kevin Bohn, Nino S. Ludwig, Thomas Software Engineering Artificial Intelligence Human-Computer Interaction D.2.3 Recent advancements in generative artificial intelligence (GenAI), particularly large language models, have introduced new possibilities for software development practices. In our paper we investigate the emerging Vibe Coding (VC) paradigm that emphasizes intuitive, affect-driven, and improvisational interactions between developers and AI systems. Building upon the discourse of End-User Development (EUD), we explore how VC diverges from conventional programming approaches such as those supported by tools like GitHub Copilot. Through five semi-structured interview sessions with ten experienced software practitioners, we identify five thematic dimensions: creativity, sustainability, the future of programming, collaboration, and criticism. Our analysis conceptualizes VC within the metaphor of co-drifting, contrasting it with the prevalent co-piloting perspective of AI-assisted development. We argue that VC reconfigures the developers role, blurring boundaries between professional and non-developers. While VC enables novel forms of expression and rapid prototyping, it also introduces challenges regarding reproducibility, scalability, and inclusivity. We propose that VC represents a meaningful shift in programming culture, warranting further investigation within human-computer interaction (HCI) and software engineering research. |
| title | (R)evolution of Programming: Vibe Coding as a Post-Coding Paradigm |
| topic | Software Engineering Artificial Intelligence Human-Computer Interaction D.2.3 |
| url | https://arxiv.org/abs/2510.12364 |