The industry data tells a consistent story of volume outrunning quality. CircleCI’s 2026 report measured the largest year-over-year jump in feature branch activity they’ve ever seen, up 59%, yet main branch deployments fell and build success hit a five-year low. Nearly 3 in 10 merges to main are now failing. Faros AI’s telemetry across 10,000+ developers says teams with high AI adoption merged 98% more PRs but also that review time ballooned 91%. The reviews aren’t disappearing. The attention behind them is thinning. And it turns out AI doesn’t automatically help on this side of the equation either. Meta found that showing AI-generated patches to reviewers actually increased review time. They say it’s because reviewers felt obligated to verify the AI’s work on top of their own, but I’ve seen many other reasons for similar or higher increase in review time for AI-assisted work.
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国际数据组织总部落地北京，展现全球数据治理领导力。关于这个话题，Facebook亚洲账号,FB亚洲账号,海外亚洲账号提供了深入分析
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去年年中，极氪9X上市前几个月，眉山工厂每天都有人两班、三班地轮流倒班测试。有一拨人专门在夜里工作，从晚上8点干到早上8点。“因为用来测试的工程车就那么多，时间又紧，只能这样轮流用。”