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Vibe Coding Is Killing Open Source Software, Researchers Argue:
According to a new study from a team of researchers in Europe, vibe coding is killing open-source software (OSS) and it's happening faster than anyone predicted.
Thanks to vibe coding, a colloquialism for the practice of quickly writing code with the assistance of an LLM, anyone with a small amount of technical knowledge can churn out computer code and deploy software, even if they don't fully review or understand all the code they churn out. But there's a hidden cost. Vibe coding relies on vast amounts of open-source software, a trove of libraries, databases, and user knowledge that's been built up over decades.
Open-source projects rely on community support to survive. They're collaborative projects where the people who use them give back, either in time, money, or knowledge, to help maintain the projects. Humans have to come in and fix bugs and maintain libraries.
Vibe coders, according to these researchers, don't give back.
The study Vibe Coding Kills Open Source, takes an economic view of the problem and asks the question: is vibe coding economically sustainable? Can OSS survive when so many of its users are takers and not givers? According to the study, no.
"Our main result is that under traditional OSS business models, where maintainers primarily monetize direct user engagement...higher adoption of vibe coding reduces OSS provision and lowers welfare," the study said. "In the long-run equilibrium, mediated usage erodes the revenue base that sustains OSS, raises the quality threshold for sharing, and reduces the mass of shared packages...the decline can be rapid because the same magnification mechanism that amplifies positive shocks to software demand also amplifies negative shocks to monetizable engagement. In other words, feedback loops that once accelerated growth now accelerate contraction."
[...] According to Koren, vibe-coders simply don't give back to the OSS communities they're taking from. "The convenience of delegating your work to the AI agent is too strong. There are some superstar projects like Openclaw that generate a lot of community interest but I suspect the majority of vibe coders do not keep OSS developers in their minds," he said. "I am guilty of this myself. Initially I limited my vibe coding to languages I can read if not write, like TypeScript. But for my personal projects I also vibe code in Go, and I don't even know what its package manager is called, let alone be familiar with its libraries."
The study said that vibe coding is reducing the cost of software development, but that there are other costs people aren't considering. "The interaction with human users is collapsing faster than development costs are falling," Koren told 404 Media. "The key insight is that vibe coding is very easy to adopt. Even for a small increase in capability, a lot of people would switch. And recent coding models are very capable. AI companies have also begun targeting business users and other knowledge workers, which further eats into the potential 'deep-pocket' user base of OSS."
This won't end well. "Vibe coding is not sustainable without open source," Koren said. "You cannot just freeze the current state of OSS and live off of that. Projects need to be maintained, bugs fixed, security vulnerabilities patched. If OSS collapses, vibe coding will go down with it. I think we have to speak up and act now to stop that from happening."
He said that major AI firms like Anthropic and OpenAI can't continue to free ride on OSS or the whole system will collapse. "We propose a revenue sharing model based on actual usage data," he said. "The details would have to be worked out, but the technology is there to make such a business model feasible for OSS."
[...] "Popular libraries will keep finding sponsors," Koren said. "Smaller, niche projects are more likely to suffer. But many currently successful projects, like Linux, git, TeX, or grep, started out with one person trying to scratch their own itch. If the maintainers of small projects give up, who will produce the next Linux?"
arXiv link: https://arxiv.org/abs/2601.15494
(Score: 3, Disagree) by JoeMerchant on Tuesday February 10, @02:18AM
>Either LLMs can make perfect software or they can’t.
Perfect software is a delusion. Humans don't make perfect software, and most things you may point to as examples of "perfect" software aren't perfect for any particular real world application(s).
LLMs are even more challenged in making useful software than experienced human programmers, but... they can make some stuff. People who "don't know how to code" can actually use LLMs to "make an app" that does something, simple today - maybe a bit more complex next month, and a bit more complex than that a few months later.
>If they can’t, then there will always be some motivated people to create better software to meet their needs.
Kurzweil's singularity trope is back. The LLM software companies are using their LLM software tools to write and improve their LLM software tools, and it's not a circle jerk, they are actually making progress which has been accelerating for almost a year straight now. Will it continue to accelerate? Probably, but for how long is the question - just how good will these tools be in another year, or ten years? There's plenty of breathless predictions in the press, many attributed to insiders at the ML/LLM/Software tools companies... I think the truth will be: better than today, but not progressing exponentially for very long. I don't feel like the metrics are anywhere near precise enough to even begin to gauge whether progress over the past year has been linear or exponential. I do believe it has been consistently forward, that has been my personal hands-on observation.
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