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.
Vibe Coding Kills Open Source
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.
Vibe Coding Is Killing Open Source Software, Researchers Argue
‘If the maintainers of small projects give up, who will produce the next Linux?’
Vibe Coding Is the New Open Source—in the Worst Way Possible
As developers increasingly lean on AI-generated code to build out their software—as they have with open source in the past—they risk introducing critical security failures along the way.
Vibe Maintainer
Some attendees at an AI Tinkerers meetup in early Feb were asking me what it’s like to be the maintainer of a big OSS project where the…
Vibe Maintainer
Some attendees at an AI Tinkerers meetup in early Feb were asking me what it’s like to be the maintainer of a big OSS project where the…
Vibecoding a high performance system
There's been a thousand posts about vibe coding. Some case studies from Indragie Karunaratne, Edward Yang, and Cloudflare stuck out to me. These are all projects where it's something the creator is already an expert in, or a read-only app where bugs are low-impact, or a well-known standard with a small design space.
From OSS to Open Source AI: an Exploratory Study of Collaborative...
AI development is embracing open-source paradigm, but the fundamental distinction between AI models and traditional software artifacts may lead to a divergent open-source development paradigm with...
How open source projects need to adapt to the AI coding era | We Love Open Source • All Things Open
A new Carnegie Mellon study shows AI coding tools boost velocity by 281% — then leave codebases harder to work with. Here's what open source communities need to do before the sugar rush wears off.
AI creates asymmetric pressure on Open Source
How Open Source communities can adapt to AI-generated contributions without overwhelming Open Source maintainers
You can make an app for that
AI is empowering a generation of vibe coders to build exactly what they want. The personal software revolution is here.
Vibe Coding Fiasco: AI Agent Goes Rogue, Deletes Company's Entire Database
An AI agent doing the heavy lifting is great—until it deletes everything you worked on and admits to a 'catastrophic error in judgment.' Replit's CEO calls the blunder 'unacceptable.'
Who cleans up after the vibe-coding party?
Our obsession with AI code-writing tools is overwhelming the web’s unsung human caretakers
The New SDLC With Vibe Coding
Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.
Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity
We conduct a randomized controlled trial to understand how early-2025 AI tools affect the productivity of experienced open-source developers working on their own repositories. Surprisingly, we find that when developers use AI tools, they take 19% longer than without—AI makes them slower.
Why Human Guidance Matters in Collaborative Vibe Coding
Writing code has been one of the most transformative ways for human societies to translate abstract ideas into tangible technologies. Modern AI is changing this process by enabling experts and non-experts alike to generate code without actually writing it, instead using natural language instructions or "vibe coding". While increasingly popular, the impact of vibe coding on productivity and collaboration, and the role of humans in this process, remains unclear. Here, we introduce a controlled experimental framework for studying collaborative vibe coding and use it to compare human-led, AI-led, and hybrid groups. Across 20 experiments involving 737 human participants, we show that people provide uniquely effective high-level instructions for vibe coding, whereas AI-provided instructions often result in performance collapse. We further demonstrate that hybrid systems perform best when humans lead by providing instructions while evaluation is delegated to AI. Although AI systems can rapidly optimize performance for specific tasks, our work highlights the importance of human guidance in shaping future hybrid societies.
AI Makes the Easy Part Easier and the Hard Part Harder for Developers
AI handles writing code but leaves the hard work: investigation, context, validation. Why vibe coding has limits and AI assistance can backfire.