{"id":183936,"date":"2026-10-22T05:40:30","date_gmt":"2026-10-22T03:40:31","guid":{"rendered":"https:\/\/prohoster.info\/blog\/news\/opros-soprovozhdayushhih-pokazal-chto-25-pull-zaprosov-yavlyayutsya-ai-slopom"},"modified":"2026-10-22T05:40:35","modified_gmt":"2026-10-22T03:40:35","slug":"maintainer-survey-finds-25-percent-of-pull-requests-are-ai-slop","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pl\/blog\/news\/maintainer-survey-finds-25-percent-of-pull-requests-are-ai-slop","title":{"rendered":"Badania w\u015br\u00f3d towarzysz\u0105cych wykaza\u0142y, \u017ce 25% pull request\u00f3w to AI-spam","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Organizacja Linux Foundation podsumowa\u0142a wyniki ankiety 234 opiekun\u00f3w i programist\u00f3w projekt\u00f3w open source, oceniaj\u0105cej wp\u0142yw narz\u0119dzi AI na rozw\u00f3j. 59% respondent\u00f3w zauwa\u017cy\u0142o wzrost liczby przesy\u0142anych zmian, ale oko\u0142o 25% przesy\u0142anych pull request\u00f3w uznano za niskiej jako\u015bci AI-\u017ale. Je\u015bli we\u017amiemy pod uwag\u0119 tylko wi\u0119ksze projekty, wzrost liczby zmian odnotowa\u0142o 69% ankietowanych, a odsetek AI-\u017ale w\u015br\u00f3d pull request\u00f3w zosta\u0142 oszacowany na 31%.<\/p>\n<p>W\u015br\u00f3d innych trend\u00f3w:<\/p>\n<ul>\n<li class=\"l\"> AI przyspieszy\u0142o realizacj\u0119 zada\u0144 zwi\u0105zanych z pisaniem kodu,<br \/>\nu 52% ankietowanych, oraz omawianiem propozycji u 19%. Jednak 21% respondent\u00f3w stwierdzi\u0142o, \u017ce zastosowanie AI jedynie spowolni\u0142o rozwi\u0105zanie bardzo z\u0142o\u017conych problem\u00f3w.<\/p>\n<li class=\"l\"> 66% respondent\u00f3w wykorzystuje zaoszcz\u0119dzony czas na usuwanie d\u0142ugu technicznego, 63% \u2014 na tworzenie nowych funkcji, a 58% \u2014 na szkolenie.\n<li class=\"l\"> 71% opiekun\u00f3w uwa\u017ca, \u017ce AI obni\u017ca pr\u00f3g wej\u015bcia do rozwijania projekt\u00f3w open source, ale 53% twierdzi, \u017ce zastosowanie AI podwa\u017ca zaufanie ze strony spo\u0142eczno\u015bci.\n<li class=\"l\"> 35% projekt\u00f3w wyra\u017anie wskaza\u0142o w zasadach mo\u017cliwo\u015b\u0107 korzystania z AI, a 32% nie ma takich zasad i nie planuje ich wprowadzenia.\n<li class=\"l\"> 61% uczestnik\u00f3w rozwoju stwierdzi\u0142o, \u017ce przed wys\u0142aniem zmian przeprowadza szczeg\u00f3\u0142owe przegl\u0105danie i pe\u0142ne testowanie kodu wygenerowanego przez AI, ale nie zawsze wspominaj\u0105, \u017ce korzystali z AI.\n<li class=\"l\"> 46% opiekun\u00f3w uwa\u017ca, \u017ce AI zwi\u0119ksza zapotrzebowanie na mentor\u00f3w dla nowych uczestnik\u00f3w, a 32% uwa\u017ca, \u017ce zmniejsza.\n<li class=\"l\"> 52% korzysta z narz\u0119dzi AI generatywnego codziennie, 23% \u2014 prawie ka\u017cdego dnia, 20% \u2014 co tydzie\u0144, 3% \u2014 raz w miesi\u0105cu, 2% \u2014 rzadziej ni\u017c raz w miesi\u0105cu.\n<li class=\"l\"> 20% respondent\u00f3w nie korzysta z AI, 58% u\u017cywa AI do zada\u0144 niezwi\u0105zanych z programowaniem, a 59% \u2014 do zada\u0144 zwi\u0105zanych z programowaniem.\n<\/ul>\n<\/ul>\n<p>\u0179r\u00f3d\u0142o: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=66517\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u044f Linux Foundation \u043f\u043e\u0434\u0432\u0435\u043b\u0430 \u0438\u0442\u043e\u0433\u0438 \u043e\u043f\u0440\u043e\u0441\u0430 234 \u0441\u043e\u043f\u0440\u043e\u0432\u043e\u0436\u0434\u0430\u044e\u0449\u0438\u0445 \u0438 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432, \u043e\u0446\u0435\u043d\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u0432\u043b\u0438\u044f\u043d\u0438\u0435 AI-\u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u043d\u0430 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0443. 59% \u043e\u043f\u0440\u043e\u0448\u0435\u043d\u043d\u044b\u0445 \u0441\u043e\u043f\u0440\u043e\u0432\u043e\u0436\u0434\u0430\u044e\u0449\u0438\u0445 \u043e\u0442\u043c\u0435\u0442\u0438\u043b\u0438 \u0443\u0432\u0435\u043b\u0438\u0447\u0435\u043d\u0438\u0435 \u0447\u0438\u0441\u043b\u0430 \u043f\u0440\u0438\u0441\u044b\u043b\u0430\u0435\u043c\u044b\u0445 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0439, \u043d\u043e \u043e\u043a\u043e\u043b\u043e 25% \u043f\u0440\u0438\u0441\u044b\u043b\u0430\u0435\u043c\u044b\u0445 pull-\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u043f\u0440\u0438\u0437\u043d\u0430\u043d\u044b \u043d\u0438\u0437\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u043c AI-\u0441\u043b\u043e\u043f\u043e\u043c. \u0415\u0441\u043b\u0438 \u0440\u0430\u0441\u0441\u043c\u0430\u0442\u0440\u0438\u0432\u0430\u0442\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u043a\u0440\u0443\u043f\u043d\u044b\u0435 \u043f\u0440\u043e\u0435\u043a\u0442\u044b, \u0442\u043e \u0440\u043e\u0441\u0442 \u0447\u0438\u0441\u043b\u0430 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0439 \u043e\u0442\u043c\u0435\u0442\u0438\u043b\u0438 69% \u043e\u043f\u0440\u043e\u0448\u0435\u043d\u043d\u044b\u0445, \u0430 \u0434\u043e\u043b\u044f AI-\u0441\u043b\u043e\u043f\u0430 \u0441\u0440\u0435\u0434\u0438 pull-\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u043e\u0446\u0435\u043d\u0435\u043d\u0430 \u0432 31%. \u0421\u0440\u0435\u0434\u0438 \u0434\u0440\u0443\u0433\u0438\u0445 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":10,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-183936","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u044f Linux Foundation \u043f\u043e\u0434\u0432\u0435\u043b\u0430 \u0438\u0442\u043e\u0433\u0438 \u043e\u043f\u0440\u043e\u0441\u0430 234 \u0441\u043e\u043f\u0440\u043e\u0432\u043e\u0436\u0434\u0430\u044e\u0449\u0438\u0445 \u0438 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