‘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 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 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.
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.
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…
Open Source Software and Corporate Influence — Andrew Lilley Brinker
Open source software projects are frequently enmeshed with the interests of corporations. We should update mental models of who works on open source accordingly, and build or modify power structures to be more resilient to corporate capture.
The Missing Middle of Open Source
Why serious, maintainer-driven projects struggle to sustain themselves—and what it will take to fix it.
The Few, the Tired, the Open Source Coders
The open source movement runs on the heroic efforts of not enough people doing too much work. They need help.
Aaron Boodman on Twitter / X
There is this tension in dev tooling right now: Lots of people want to self-host, and not depend on a service. Lots of people also want the vibes of open source - being part of an open development community, having the code, etc.But builders still need to make a living...— Aaron Boodman (@aboodman) January 23, 2024
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.
Roadmap: Open Source
After years of investing in open source software, we’re releasing our thinking on what positions these companies as emerging technology giants.
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.'
Contral — The IDE That Teaches While You Build
Vibecode at full speed and actually understand what you ship. Build Mode + Learn Mode (Java). Stop being a copy-paste developer.
Let's Vibe - Meet, Build, Demo.
A meetup for low code, no code, vibe coders. Let's share our Cursor, Lovable, Replit, Windsurf, n8n, ChatGPT, Claude, etc. tips and tricks.
