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Paper+O: Claude kills the OSU

Koren, Miklós; Bekes, Gabor; Hinz, Julian; Lohmann, Aaron

Vibe Coding Kills Open Source Unveröffentlicht

Zenodo (Preprint), 2026.

Abstract | Links | BibTeX

@unpublished{Koren2026,

title = {Vibe Coding Kills Open Source},

author = {Miklós Koren and Gabor Bekes and Julian Hinz and Aaron Lohmann},

url = {https://doi.org/10.5281/zenodo.19374601},

doi = {10.5281/zenodo.19374601},

year = {2026},

date = {2026-04-01},

urldate = {2026-04-01},

publisher = {Zenodo},

abstract = {Generative AI is changing how software is produced and used. In vibe coding, an AI agent builds software by selecting and assembling open-source software (OSS), often without users directly reading documentation, reporting bugs, or otherwise engaging with maintainers. We study the equilibrium effects of vibe coding on the OSS ecosystem. We develop a model with endogenous entry and heterogeneous project quality in which OSS is a scalable input into producing more software. Users choose whether to use OSS directly or through vibe coding. Vibe coding raises productivity by lowering the cost of using and building on existing code, but it also weakens the user engagement through which many maintainers earn returns. When OSS is monetized only through direct user engagement, greater adoption of vibe coding lowers entry and sharing, reduces the availability and quality of OSS, and reduces welfare despite higher productivity. Sustaining OSS at its current scale under widespread vibe coding requires major changes in how maintainers are paid. An event-study design exploiting the staggered rollout of different AI models shows that when a website component begins to be recommended by frontier coding models, its downloads rise while its GitHub stars fall, consistent with the model's demand-diversion channel.},

howpublished = {Zenodo (Preprint)},

keywords = {},

pubstate = {published},

tppubtype = {unpublished}

}

Schließen

Generative AI is changing how software is produced and used. In vibe coding, an AI agent builds software by selecting and assembling open-source software (OSS), often without users directly reading documentation, reporting bugs, or otherwise engaging with maintainers. We study the equilibrium effects of vibe coding on the OSS ecosystem. We develop a model with endogenous entry and heterogeneous project quality in which OSS is a scalable input into producing more software. Users choose whether to use OSS directly or through vibe coding. Vibe coding raises productivity by lowering the cost of using and building on existing code, but it also weakens the user engagement through which many maintainers earn returns. When OSS is monetized only through direct user engagement, greater adoption of vibe coding lowers entry and sharing, reduces the availability and quality of OSS, and reduces welfare despite higher productivity. Sustaining OSS at its current scale under widespread vibe coding requires major changes in how maintainers are paid. An event-study design exploiting the staggered rollout of different AI models shows that when a website component begins to be recommended by frontier coding models, its downloads rise while its GitHub stars fall, consistent with the model's demand-diversion channel.

Schließen

• https://doi.org/10.5281/zenodo.19374601
• doi:10.5281/zenodo.19374601

Schließen

Paper+A: Mooin in 24 Sprachen

John, Tina; Möller, Anna Lena

On-Demand Internationalization for Learning Management System Moodle Proceedings Article

In: Stephanidis, Constantine; Antona, Margherita; Ntoa, Stavroula; Salvendy61953-3_11, Gavriel (Hrsg.): HCI International 2024 Posters, S. 95–102, Springer Nature Switzerland, Cham, 2024, ISBN: 9783031619533.

Abstract | Links | BibTeX

@inproceedings{John2024,

title = {On-Demand Internationalization for Learning Management System Moodle},

author = {Tina John and Anna Lena Möller},

editor = {Constantine Stephanidis and Margherita Antona and Stavroula Ntoa and Gavriel Salvendy61953-3_11

},

url = {https://doi.org/10.1007/978-3-031-61953-3_11},

doi = {10.1007/978-3-031-61953-3_11},

isbn = {9783031619533},

year = {2024},

date = {2024-06-01},

urldate = {2024-00-00},

booktitle = {HCI International 2024 Posters},

pages = {95–102},

publisher = {Springer Nature Switzerland},

address = {Cham},

abstract = {As part of the BMBF-funded joint project Onlinecampus Pflege, a mobile, freely accessible self-learning offer for professional nurses was developed and tested to promote the competent use of digital technologies in nursing and care with the aim of low-threshold access.

The platform was implemented as an instance of the learning management system Moodle, with learning units that seamlessly combine text, graphics and various gamification elements from the Html5 package. After one year of testing, 485 users with 24 different mother tongues are registered on the platform. The current study aims to provide internationalization through translation. This includes ensuring easy access to the content and the platform by offering it in multiple languages. As a result, AI-assisted simultaneous translation is being developed. The Moodle plugins Auto Multilanguage and H5P Translate add on-demand translation to Moodle's static native language support. Initial results show that the solution developed with sustainability in mind minimizes the effort and cost of creating learning materials that need to be prepared for different languages, while providing maximum accessibility for learners in terms of their native language or, more importantly, the desired language in the learning domain.

The use of AI-powered translations in education and training as well as the effect on the learning performance remains to be discussed.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

Schließen

As part of the BMBF-funded joint project Onlinecampus Pflege, a mobile, freely accessible self-learning offer for professional nurses was developed and tested to promote the competent use of digital technologies in nursing and care with the aim of low-threshold access.

The platform was implemented as an instance of the learning management system Moodle, with learning units that seamlessly combine text, graphics and various gamification elements from the Html5 package. After one year of testing, 485 users with 24 different mother tongues are registered on the platform. The current study aims to provide internationalization through translation. This includes ensuring easy access to the content and the platform by offering it in multiple languages. As a result, AI-assisted simultaneous translation is being developed. The Moodle plugins Auto Multilanguage and H5P Translate add on-demand translation to Moodle's static native language support. Initial results show that the solution developed with sustainability in mind minimizes the effort and cost of creating learning materials that need to be prepared for different languages, while providing maximum accessibility for learners in terms of their native language or, more importantly, the desired language in the learning domain.

The use of AI-powered translations in education and training as well as the effect on the learning performance remains to be discussed.

Schließen

• https://doi.org/10.1007/978-3-031-61953-3_11
• doi:10.1007/978-3-031-61953-3_11

Schließen

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