Open source was not ready for AI-speed contributions

Open source was not ready for AI-speed contributions

AI did not create the maintainer burden problem in open source. It accelerated it. Contributors are being amplified, but maintainers are still the verification bottleneck.

AI creates asymmetric pressure on Open Source

How Open Source communities can adapt to AI-generated contributions without overwhelming Open Source maintainers

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 slows down open source developers. Peter Naur can teach us why.

If AI is so good at coding … where are the open source contributions?

You can hardly get online these days without hearing some AI booster talk about how AI coding is going to replace human programmers. AI code is absolutely up to production quality! Also, you’re all…

Humanity in Open Source

Thoughts on how the open source world is changing in the AI era, not always for the better.

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.

The Open Source AI Definition – 1.0

version 1.0 See FAQsSee list of endorsementsSee ChecklistEndorse the OSAID Preamble Why we need Open Source Artificial Intelligence (AI) Open Source has demonstrated that massive benefits accrue to…

AI Contribution Policies

Ready-to-use AI contribution policies for open source projects.

Study finds AI tools made open source software developers 19 percent slower

Coders spent more time prompting and reviewing AI generations than they saved on coding.

The Arguments Against Open Source AI are Very Bad | Tom Bedor's Blog

The release of Kimi K3 has opened a fresh round of angst and confused discourse. There's a loud cohort of journalists, business leaders, and politicians arguing that open source AI is a dangerous threat. OpenAI's Dean Ball:

What We're No Longer Seeing: AI and the Invisible Newcomer in Open Source

How AI is absorbing the visible friction that open-source communities have always relied on to see—and welcome—newcomers.

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...

AI Slopageddon and the OSS Maintainers

AI slop is ripping up the social contract between maintainers and contributors essential to open source development. Practitioners have been repeatedly assured that AI would supercharge their communities, but so far that hasn’t been the case. Just look at what happened last month. Mitchell Hashimoto’s Ghostty implemented a zero-tolerance policy where submitting bad AI-generated code

Measuring the Impact of Early-2025 AI on Experienced Open-Source...

Despite widespread adoption, the impact of AI tools on software development in the wild remains understudied. We conduct a randomized controlled trial (RCT) to understand how AI tools at the...