As the role of AI in coding continues to increase, few understand how our internet and digital systems work. It is creating a quality problem. The article talks about cURL, a open-source programming project whose GitHub code is maintained by a few traditional developers, who volunteer their time to fix bugs and maintain it. The whole project is not owned by anyone and runs on donations or grants.
However, increasingly, vibe coders have started making ‘extractive contribution’, in which the time and energy required for maintainers to review them outweigh their value. They also lack a full understanding of how the overall code works. This trend is overwhelming these trusted volunteers who have to review all these low-quality and useless suggestions before accepting or rejecting them. In some cases, up to 30% of code could be AI-generated.
As a result, many project owners cannot trust the code and are shutting out all AI contribution and contributors entirely, potentially leading to shortages of trusted maintainers for future, who could succeed them.
Further, vibe coding may discourage quality developers to volunteer and to contribute to open source projects. This is so because the key incentive for these developers is to popularize their contribution and seek some ‘validation’ from other coders. As quoted below:
>The question for the developer is that if I want to be popular among humans, why should I write something that is only used by machines?
Also, LLMs’ use is increasingly replacing traditional learning methods that involve human to human interactions. Some developers and educators fear that
>LLMs often try to solve problems directly and narrowly, rather than by providing broader contexts. AIs will know how to answer the question that you have, but you don’t know what questions you should be asking that you’re not asking.
**Relevance**:
Globally, every country is racing to “vibe” invest in AI infrastructure, but few are asking about unintended side effects of rapid AI adoption, including the decline and eventual death of open-source coding. All such risks are not no longer limited to a single company or country.
1 Comment
**Submission statement**:
As the role of AI in coding continues to increase, few understand how our internet and digital systems work. It is creating a quality problem. The article talks about cURL, a open-source programming project whose GitHub code is maintained by a few traditional developers, who volunteer their time to fix bugs and maintain it. The whole project is not owned by anyone and runs on donations or grants.
However, increasingly, vibe coders have started making ‘extractive contribution’, in which the time and energy required for maintainers to review them outweigh their value. They also lack a full understanding of how the overall code works. This trend is overwhelming these trusted volunteers who have to review all these low-quality and useless suggestions before accepting or rejecting them. In some cases, up to 30% of code could be AI-generated.
As a result, many project owners cannot trust the code and are shutting out all AI contribution and contributors entirely, potentially leading to shortages of trusted maintainers for future, who could succeed them.
Further, vibe coding may discourage quality developers to volunteer and to contribute to open source projects. This is so because the key incentive for these developers is to popularize their contribution and seek some ‘validation’ from other coders. As quoted below:
>The question for the developer is that if I want to be popular among humans, why should I write something that is only used by machines?
Also, LLMs’ use is increasingly replacing traditional learning methods that involve human to human interactions. Some developers and educators fear that
>LLMs often try to solve problems directly and narrowly, rather than by providing broader contexts. AIs will know how to answer the question that you have, but you don’t know what questions you should be asking that you’re not asking.
**Relevance**:
Globally, every country is racing to “vibe” invest in AI infrastructure, but few are asking about unintended side effects of rapid AI adoption, including the decline and eventual death of open-source coding. All such risks are not no longer limited to a single company or country.
Edit: fixed typos and added more info