Rohan Paul@rohanpaul_ai · XAI编程代理的普及正使GitHub基础设施面临极限压力。这些工具不仅生成更多代码，更导致提交、拉取请求、搜索和CI任务等仓库事件数量激增，彻底改变了平台原本为人类节奏设计的工作负载形态。开发者现可在短时间内推送大量AI辅助的迭代，每次迭代都会触发CI、索引、存储和审查系统，使瓶颈从编写代码转向消化代码。这种过载已影响日常维护，导致评审阻塞、合并卡顿和自动化失败。作为例证，GitHub早期用户Mitchell Hashimoto因其项目Ghostty反复遭遇服务中断，最终决定将项目迁出他使用了18年的GitHub，这标志着一个时代的转变。
GitHub is hitting a breaking point as AI coding agents flood the platform with far more commits， pull requests， searches， and CI jobs than its older infrastructure was built to handle.
Mitchell Hashimoto， one of GitHub's earliest users， is moving Ghostty， a project with 52 stars， after repeated outages turned everyday maintenance into blocked reviews， stuck merges， and failed automation.
AI does not just generate more code. It generates more repository events， more pull requests， more tests， more builds， more retries， and more logs.
That changes the load shape of a platform built for human pacing.