AI“氛围编程”威胁开源，维护者面临危机

Core Insights - Open source maintainers are increasingly closing doors to external contributors due to the overwhelming volume and low quality of AI-generated contributions, leading to a crisis in the open source community [2][3] - A recent study indicates that the reliance on AI for coding is creating a negative feedback loop, diminishing the quality and availability of software as fewer developers engage with documentation and report issues [3][4] Group 1: Impact of AI on Open Source Contributions - The phenomenon termed "AI Slopageddon" reflects the challenges faced by maintainers as they struggle to manage the influx of low-quality AI-generated code [2] - Stack Overflow activity dropped by 25% within six months of ChatGPT's launch, while Tailwind CSS saw a 40% decrease in documentation traffic and an 80% drop in revenue [3] - By 2025, it is projected that 20% of code submissions will be AI-generated, with overall effectiveness declining to 5% [3] Group 2: Responses from Maintainers - Some maintainers, like Hashimoto, have adopted zero-tolerance policies against unapproved AI contributions, emphasizing the need for high-quality submissions regardless of their origin [5] - Ruiz has taken drastic measures by closing external contributions after encountering poorly generated issues from AI tools, questioning the need for external input if coding becomes too easy [6] - The platforms that host open source projects, such as GitHub, are criticized for not providing tools to filter AI submissions, exacerbating the problem for maintainers [6] Group 3: Structural Challenges and Future Outlook - Researchers propose a model where AI platforms could redistribute subscription revenue based on package usage, but the required contribution from AI users is deemed unrealistic at 84% of current direct user revenue [7] - The Linux Foundation and Apache have focused on licensing rather than quality, failing to address the flood of low-quality contributions [7] - The impact of this crisis is expected to be uneven, with popular libraries likely to find sponsors while smaller projects may struggle, raising concerns about the future of foundational projects like Linux [8]