The coding vibe wants to help Open Source. But developers don't want AI-made messes.

**European Open Source Projects Grapple with AI-Generated Code Quality** European open-source communities are facing a growing challenge as the influx of AI-generated code, often termed "vibe coding," threatens to compromise project integrity. While AI tools offer unprecedented potential for rapid code development and modification, a recent incident with the popular open-source application TLDraw highlights developers' concerns over the quality and maintainability of such contributions. The situation underscores a broader debate about the role of AI in software development and the need for robust quality control. Steve Ruiz, the creator of TLDraw, announced a temporary halt to external code contributions due to a significant increase in low-quality "pull requests." This decision stems from observations that many submissions, potentially generated or heavily influenced by AI, while functional, introduced subtle issues and increased project complexity. Ruiz clarified that the move is not an outright rejection of AI-assisted development, emphasizing that he and his team actively use AI tools and welcome contributions from developers who possess a deep understanding of the project's codebase and can ensure high-quality output. This development signals a crucial turning point for open-source projects across Europe, forcing a re-evaluation of contribution guidelines and review processes. The rise of "AI Slop" in code mirrors concerns seen in other AI-generated content domains, raising questions about the long-term sustainability of projects reliant on community contributions. As AI coding assistants become more prevalent, maintaining code quality and developer expertise will be paramount to preserving the collaborative spirit and robustness of open-source software initiatives.