Zig 프로젝트의 anti-AI 기여 정책에 대한 근거

Zig's strict LLM ban policy prioritizes long-term contributor development over individual code contributions, fundamentally reshaping how open-source projects balance productivity gains with community building. This governance choice has immediate consequences: Bun's 4x compiler performance improvement from their Zig fork remains unupstreamed due to the policy, illustrating the real cost of AI-focused project restrictions. The debate reveals a deeper question about sustainable open-source ecosystems—whether contributor growth and code quality require explicit barriers against AI-generated work.