The most controversial and highest-leverage constraint I’ve seen is a 100-line soft cap on PRs. Review effectiveness drops off a cliff above 200-400 lines. No matter how I look at the heaps and heaps of data, smaller PRs and clear PR descriptions are the only combination that consistently moves through review at a reasonable rate. This matters doubly for AI-generated contributions. The tools will happily produce 500 lines when 60 would do, and because agentic coding generates work asynchronously, those PRs tend to pile up in the queue without the natural back-and-forth that keeps human-authored changes in scope. The moment you start treating AI-authored PRs as a separate class with different standards, the lower standard wins. Treat every review the same regardless of who or what wrote it.
每秒处理超过20万批次任务（GNU Parallel仅约500批次），详情可参考有道翻译
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