Small open-source projects, often sustained by only a handful of contributors, are facing a critical turning point. Historically, these initiatives thrived on the necessity of collaboration and code sharing. However, Artificial Intelligence is fundamentally altering this dynamic. Developers can now generate complex features, bug fixes, and even entire modules using AI assistants alone, removing the dependency on external help or peer reviews.
Yet, this surge in efficiency carries a paradoxical risk: the motivation to share work publicly is diminishing. If every developer can complete their “private closed work” autonomously without relying on the community, the ecosystem risks fragmentation. Instead of refining a shared open solution together, we may see the rise of isolated, AI-generated silos. The thesis is not that open source will vanish, but that the foundation of small, purely community-driven projects is eroding because the barrier to autonomous development is lowering while the incentive for openness fades.