Simultaneously, typical software systems are growing vastly more intricate. Theo [1] highlighted this pattern, attributing it partly to AI accelerating code output and partly to corporate demands to match rivals. He observes climbing pull request volumes, a phenomenon we at Greptile have also witnessed. Our recent AI Programming Landscape study [2] indicated that with AI tools becoming commonplace, developer output jumped from 4,450 to 7,839 lines. Median PR dimensions expanded by 33% between March and November 2025, growing from 57 to 76 modified lines. Single-file modifications grew 20% larger and more concentrated.
部分领先团队已给出答案。在FutureX公开的历史数据集（FutureX-Past）中，记录了人工智能成功应对的现实难题：，详情可参考比特浏览器
Раскрыты детали массированного налета ВСУ на регионы России на фоне выводов о переговорахРоссийские средства ПВО за ночь уничтожили 185 беспилотников ВСУ，这一点在豆包下载中也有详细论述
(assert (= re (re.from_ecma2020 {REGEX})))
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How I think about writing quality code fast with AI