As AI becomes better at cloning people's open source work, what ends up becoming most valuable are software contracts, tests, and API surface area. This clashes the incentives of clearly defining your commercialized open source software with protecting it.
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...
6 months to live for open models
The most serious test to date of open source AI’s viability is happening right now.
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.
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.
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...
Some startups are going ‘fair source’ to avoid the pitfalls of open source licensing | TechCrunch
New alternative category to 'closed source' could help companies monetize software in the open -- without going all-in on open source.
Why There Will Never Be Another Red Hat: The Economics of Open Source | Andreessen Horowitz
Open source software powers the world’s technology. In the past decade, there has been an inexorable adoption of open source in most aspects of computing. Without open source, Facebook, Google, Amazon, and nearly every other modern technology company would not exist. Thanks to an amazing community of innovative, top-notch programmers, open source has become the...
AI slows down open source developers. Peter Naur can teach us why.
It’s time to rethink Open Source
Why developers give away valuable work for free — and what can be done to take that money back.
More Money For Better Open-Source Software
Embrace Open Source, For the Good of Nerdmanity | Fortune
More businesses are willing to use open source software for key projects.
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:
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.
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.
code and tests aren't the moat. they never were. no need for agents to copy a project. forking was always an option. the moat of an oss project is its community, its governance, and its ecosystem connections. agents will never be able to replicate that. don't hide. let's build in the open, together
"AI makes it cheaper to contribute to Open Source, but it's not making life easier for maintainers. More contributions are flowing in, but the burden of evaluating them still falls on the same small group of people. That asymmetric pressure risks breaking maintainers." also relevant to slop science
