{"id":132904,"date":"2026-02-10T10:48:27","date_gmt":"2026-02-10T01:48:27","guid":{"rendered":"https:\/\/softantenna.com\/blog\/?p=132904"},"modified":"2026-02-10T10:48:27","modified_gmt":"2026-02-10T01:48:27","slug":"nvida-uses-cursor","status":"publish","type":"post","link":"https:\/\/softantenna.com\/blog\/nvida-uses-cursor\/","title":{"rendered":"Nvidia\u3001AI\u5c0e\u5165\u3067\u30b3\u30fc\u30c9\u751f\u7523\u91cf\u304c3\u500d\u306b\uff013\u4e07\u4eba\u304cCursor\u7279\u5225\u7248\u3092\u6d3b\u7528"},"content":{"rendered":"<p><img decoding=\"async\" style=\"display:block; margin-left:auto; margin-right:auto;\" src=\"https:\/\/softantenna.com\/blog\/wp-content\/uploads\/2024\/01\/1670686477_nvidia_logo_story.jpg\" alt=\"1670686477 nvidia logo story\" title=\"1670686477_nvidia_logo_story.jpg\" border=\"0\" width=\"760\" height=\"430\" \/><\/p>\n<p>Nvidia\u304c\u958b\u767a\u3059\u308bGPU\u306f\u30b2\u30fc\u30e0\u3060\u3051\u3067\u306a\u304f\u3001\u751f\u6210AI\u6642\u4ee3\u306e\u57fa\u76e4\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u5f53\u7136\u306a\u304c\u3089\u3001\u81ea\u3089\u306e\u958b\u767a\u73fe\u5834\u306b\u3082AI\u3092\u5fb9\u5e95\u7684\u306b\u53d6\u308a\u5165\u308c\u3066\u304a\u308a\u3001\u30b3\u30fc\u30c9\u306e\u751f\u7523\u91cf\u3092\u5f93\u6765\u306e3\u500d\u3078\u3068\u62bc\u3057\u4e0a\u3052\u3066\u3044\u305f\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3057\u305f\u3002 3\u4e07\u4eba\u4ee5\u4e0a\u306e\u30a8\u30f3\u30b8\u30cb\u30a2\u304cAI IDE<strong>\u300cCursor\u300d\u306e\u7279\u5225\u7248<\/strong>\u3092\u4f7f\u3044\u3001\u30b3\u30fc\u30c9\u751f\u6210\u304b\u3089\u30ec\u30d3\u30e5\u30fc\u3001\u30c6\u30b9\u30c8\u3001\u30c7\u30d0\u30c3\u30b0\u307e\u3067\u3001\u958b\u767a\u30d7\u30ed\u30bb\u30b9\u306e\u3042\u3089\u3086\u308b\u5de5\u7a0b\u3092\u52a0\u901f\u3057\u3066\u3044\u308b\u3068\u306e\u3053\u3068\u3067\u3059\u3002<\/p>\n<blockquote><p>\nCursor is used in pretty much all product areas and in all aspects of software development. Teams are using Cursor for writing code, code reviews, generating test cases, and QA. Our full SDLC is accelerated by Cursor. We have built a lot of custom rules in Cursor to fully automate entire workflows. That has unlocked Cursor's true potential.<\/p>\n<p>Cursor\u306f\u3001\u307b\u307c\u3059\u3079\u3066\u306e\u88fd\u54c1\u5206\u91ce\u3068\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u958b\u767a\u306e\u3042\u3089\u3086\u308b\u5de5\u7a0b\u3067\u6d3b\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u30c1\u30fc\u30e0\u306f\u30b3\u30fc\u30c9\u306e\u4f5c\u6210\u3001\u30b3\u30fc\u30c9\u30ec\u30d3\u30e5\u30fc\u3001\u30c6\u30b9\u30c8\u30b1\u30fc\u30b9\u306e\u751f\u6210\u3001QA\u306a\u3069\u306bCursor\u3092\u4f7f\u7528\u3057\u3066\u304a\u308a\u3001\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u958b\u767a\u30e9\u30a4\u30d5\u30b5\u30a4\u30af\u30eb(SDLC)\u5168\u4f53\u304cCursor\u306b\u3088\u3063\u3066\u52a0\u901f\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u3055\u3089\u306b\u3001Nvidia\u306fCursor\u306b\u591a\u6570\u306e\u30ab\u30b9\u30bf\u30e0\u30eb\u30fc\u30eb\u3092\u69cb\u7bc9\u3057\u3066\u304a\u308a\u3001\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u5168\u4f53\u3092\u5b8c\u5168\u306b\u81ea\u52d5\u5316\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u3063\u3066\u3001Cursor\u306e\u771f\u306e\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u304c\u5f15\u304d\u51fa\u3055\u308c\u305f\u306e\u3067\u3059\u3002\n<\/p><\/blockquote>\n<p>Nvidia\u306eVP of Engineering\u3001Wei Luio\u6c0f\u306b\u3088\u308b\u3068\u3001Cursor\u306f\u4ee5\u4e0b\u306e\u9818\u57df\u3067\u6d3b\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u30b3\u30fc\u30c9\u4f5c\u6210<\/li>\n<li>\u30b3\u30fc\u30c9\u30ec\u30d3\u30e5\u30fc<\/li>\n<li>\u30c6\u30b9\u30c8\u30b1\u30fc\u30b9\u751f\u6210<\/li>\n<li>QA(\u54c1\u8cea\u4fdd\u8a3c)<\/li>\n<li>\u30c7\u30d0\u30c3\u30b0<\/li>\n<li>Git\u30d5\u30ed\u30fc\u306e\u81ea\u52d5\u5316<\/li>\n<\/ul>\n<p>\u7279\u306b\u3001\u793e\u5185\u3067\u69cb\u7bc9\u3057\u305f\u72ec\u81ea\u30eb\u30fc\u30eb\u306b\u3088\u308a\u3001\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u5b8c\u5168\u81ea\u52d5\u5316\u304c\u53ef\u80fd\u306b\u306a\u3063\u305f\u70b9\u304c\u5927\u304d\u306a\u6210\u679c\u3060\u3068\u8ff0\u3079\u3066\u3044\u307e\u3059\u3002<\/p>\n<h2>\u30c7\u30d0\u30c3\u30b0\u3084\u5de8\u5927\u30b3\u30fc\u30c9\u30d9\u30fc\u30b9\u306e\u7406\u89e3\u3067\u5f37\u307f\u3092\u767a\u63ee<\/h2>\n<p>Nvidia\u306f\u3001Cursor\u3092\u5c0e\u5165\u3059\u308b\u524d\u306b\u3082\u3001\u793e\u5185\u88fd\/\u5916\u90e8\u30d9\u30f3\u30c0\u30fc\u88fd\u306eAI\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30c4\u30fc\u30eb\u3092\u4f7f\u7528\u3057\u3066\u304d\u305f\u3082\u306e\u306e\u3001Cursor \u3092\u63a1\u7528\u3057\u3066\u304b\u3089\u958b\u767a\u901f\u5ea6\u304c\u5927\u304d\u304f\u5411\u4e0a\u3057\u59cb\u3081\u305f\u305d\u3046\u3067\u3059\u3002<\/p>\n<p>Cursor\u306f\u3001\u8907\u96d1\u3067\u9577\u671f\u904b\u7528\u3055\u308c\u3066\u3044\u308b\u5de8\u5927\u306a\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3084\u30b3\u30fc\u30c9\u30d9\u30fc\u30b9\u306e\u7406\u89e3\u306b\u512a\u308c\u3001\u4eba\u9593\u3067\u306f\u898b\u843d\u3068\u3057\u304c\u3061\u306a\u30ec\u30a2\u306a\u30d0\u30b0\u306e\u767a\u898b\u30fb\u4fee\u6b63\u306b\u3082\u52b9\u679c\u3092\u767a\u63ee\u3002\u65b0\u4eba\u30a8\u30f3\u30b8\u30cb\u30a2\u306e\u30aa\u30f3\u30dc\u30fc\u30c7\u30a3\u30f3\u30b0\u306b\u3082\u5f79\u7acb\u3061\u3001\u7d4c\u9a13\u8c4a\u5bcc\u306a\u30a8\u30f3\u30b8\u30cb\u30a2\u306f\u3088\u308a\u5275\u9020\u7684\u306a\u8ab2\u984c\u306b\u96c6\u4e2d\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u3068\u306e\u3053\u3068\u3067\u3059\u3002<\/p>\n<p>\u307e\u305f\u3001\u751f\u7523\u6027\u304c\u5927\u5e45\u306b\u5411\u4e0a\u3057\u305f\u4e00\u65b9\u3067\u3001<strong>\u30d0\u30b0\u7387\u306f\u5897\u3048\u3066\u3044\u306a\u3044<\/strong>\u3068Nvidia\u306f\u5f37\u8abf\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u304c\u771f\u5b9f\u306a\u3089\u3070\u3001GPU\u30c9\u30e9\u30a4\u30d0\u306e\u3088\u3046\u306a\u91cd\u8981\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3067\u3082\u54c1\u8cea\u3092\u7dad\u6301\u3067\u304d\u3066\u3044\u308b\u70b9\u306f\u6ce8\u76ee\u3059\u3079\u304d\u30dd\u30a4\u30f3\u30c8\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n<p>Nvidia\u306fDLSS\u306e\u958b\u767a\u3067\u3082\u30b9\u30fc\u30d1\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u3092\u6d3b\u7528\u3057\u3066\u304a\u308a\u3001\u4eca\u56de\u306e\u53d6\u308a\u7d44\u307f\u306f\u300cAI\u3092\u4f7f\u3063\u3066\u958b\u767a\u3092\u52a0\u901f\u3059\u308b\u300d\u3068\u3044\u3046\u540c\u793e\u306e\u9577\u671f\u6226\u7565\u306e\u5ef6\u9577\u7dda\u4e0a\u306b\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>[via <a href=\"https:\/\/www.tomshardware.com\/tech-industry\/artificial-intelligence\/nvidia-now-produces-three-times-as-much-code-as-before-ai-specialized-version-of-cursor-is-being-used-by-over-30-000-nvidia-engineers-internally\">Tom's Hardware<\/a>]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nvidia\u304c\u958b\u767a\u3059\u308bGPU\u306f\u30b2\u30fc\u30e0\u3060\u3051\u3067\u306a\u304f\u3001\u751f\u6210AI\u6642\u4ee3\u306e\u57fa\u76e4\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u5f53\u7136\u306a\u304c\u3089\u3001\u81ea\u3089\u306e\u958b\u767a\u73fe\u5834\u306b\u3082AI\u3092\u5fb9\u5e95\u7684\u306b\u53d6\u308a\u5165\u308c\u3066\u304a\u308a\u3001\u30b3\u30fc\u30c9\u306e\u751f\u7523\u91cf\u3092\u5f93\u6765\u306e3\u500d\u3078\u3068\u62bc\u3057\u4e0a\u3052\u3066\u3044\u305f\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3057\u305f\u3002 3\u4e07\u4eba\u4ee5\u4e0a\u306e [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":117661,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"swell_btn_cv_data":"","footnotes":""},"categories":[75],"tags":[580,982],"class_list":["post-132904","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-software","tag-ai","tag-nvidia"],"_links":{"self":[{"href":"https:\/\/softantenna.com\/blog\/wp-json\/wp\/v2\/posts\/132904","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/softantenna.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/softantenna.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/softantenna.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/softantenna.com\/blog\/wp-json\/wp\/v2\/comments?post=132904"}],"version-history":[{"count":0,"href":"https:\/\/softantenna.com\/blog\/wp-json\/wp\/v2\/posts\/132904\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/softantenna.com\/blog\/wp-json\/wp\/v2\/media\/117661"}],"wp:attachment":[{"href":"https:\/\/softantenna.com\/blog\/wp-json\/wp\/v2\/media?parent=132904"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/softantenna.com\/blog\/wp-json\/wp\/v2\/categories?post=132904"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/softantenna.com\/blog\/wp-json\/wp\/v2\/tags?post=132904"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}