[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"sanity-oZt4Zoex5dGMCbNOoaQ-ysRzm4lp4pv-MTyspoY0x9o":3,"sanity-xlgqKSPuOsMawZ2NNY7-wYotDu5K8FTVJ_nEfKWOOws":1362},{"data":4,"sourceMap":-1},{"latestPodcast":5,"latestReleases":14,"post":39,"recent":1337},[6],{"_id":7,"publishedAt":8,"slug":9,"sponsored":12,"title":13},"5c7f0882-e1a7-4d0e-9e06-86cce9c3613a","2026-07-02T07:40:00.000Z",{"_type":10,"current":11},"slug","ai-coding-chaos-into-a-repeatable-playbook",null,"How do you turn AI coding chaos into a repeatable playbook?",[15,21,27,33],{"_id":16,"publishedAt":17,"slug":18,"title":20},"eb5b66eb-9410-4329-83bb-22bbff39402a","2026-04-28T13:00:00.000Z",{"_type":10,"current":19},"turn-scattered-knowledge-into-trusted-intelligence","Turning scattered knowledge into trusted intelligence: Stack Internal 2026.3",{"_id":22,"publishedAt":23,"slug":24,"title":26},"369c2401-b62e-4a37-8ff8-bf603023ecad","2026-03-02T15:03:00.988Z",{"_type":10,"current":25},"what-s-new-at-stack-overflow-march-2026","What’s new at Stack Overflow: March 2026",{"_id":28,"publishedAt":29,"slug":30,"title":32},"5e9053a4-07ea-447c-91ea-29e0b6228537","2026-02-02T15:00:00.000Z",{"_type":10,"current":31},"what-s-new-at-stack-overflow-february-2026","What’s new at Stack Overflow: February 2026",{"_id":34,"publishedAt":35,"slug":36,"title":38},"a1b538eb-a8a6-46d0-80a1-ac70ec9bb935","2026-01-05T10:00:00.000-05:00",{"_type":10,"current":37},"what-s-new-at-stack-overflow-january-2026","What’s new at Stack Overflow: January 2026",{"_createdAt":40,"_id":41,"_rev":42,"_type":43,"_updatedAt":44,"author":12,"body":45,"ctaType":1270,"dateUrl":1271,"excerpt":1272,"image":1273,"product":1278,"publishedAt":1306,"slug":1307,"sponsored":12,"tags":1309,"title":1336,"visible":95},"2024-07-22T17:49:53Z","labs-0657e282-e915-4cf9-9417-6e59e4b698ec","7p1YwEV6Dn1EmLRf3Wjvjg","blogPost","2025-09-24T11:51:34Z",[46,57,102,110,118,128,136,144,152,160,177,186,194,201,205,213,221,228,231,238,246,254,261,264,272,280,287,290,298,319,326,329,337,348,376,384,392,395,403,411,418,421,429,437,444,447,455,463,466,474,482,489,492,500,515,523,531,534,542,550,557,565,572,575,583,591,598,601,609,617,624,627,635,652,659,662,670,684,692,700,707,710,718,726,733,736,744,752,759,762,770,778,785,788,796,804,811,814,822,836,843,851,859,866,869,877,885,892,895,903,911,918,921,928,936,949,957,965,972,975,983,991,998,1001,1009,1017,1024,1027,1035,1049,1056,1064,1072,1079,1082,1090,1098,1101,1109,1123,1131,1139,1146,1149,1157,1165,1172,1175,1182,1189,1196,1204,1218,1226,1234,1241,1244,1252,1260,1267],{"_key":47,"_type":48,"children":49,"markDefs":55,"style":56},"e7bad4365b83","block",[50],{"_key":51,"_type":52,"marks":53,"text":54},"b5bf062d8c59","span",[],"Introduction",[],"h2",{"_key":58,"_type":48,"children":59,"markDefs":92,"style":101},"b276d0bf99d9",[60,65,70,74,79,83,88],{"_key":61,"_type":52,"marks":62,"text":64},"cb539908af66",[63],"strong","In",{"_key":66,"_type":52,"marks":67,"text":69},"149879db95c6",[63,68],"8a0884b8aa97"," May 2024",{"_key":71,"_type":52,"marks":72,"text":73},"9163250af440",[63],", developers let us know which GenAI tools they were using and how it was improving their quality of time spent but not necessarily saving them time.  The difference in perceptions of productivity a year ago in the ",{"_key":75,"_type":52,"marks":76,"text":78},"a5dc7877520b",[63,77],"36233d28e680","Developer Survey's AI insights",{"_key":80,"_type":52,"marks":81,"text":82},"f6300882d2e6",[63]," show that willingness to adopt new AI tools did not deliver the promise of productivity most had forecast.  With our ",{"_key":84,"_type":52,"marks":85,"text":87},"78d4660da049",[63,86],"8a6b65f9de6d","2024 Developer Survey",{"_key":89,"_type":52,"marks":90,"text":91},"447f414f21d7",[63],", we ask about usage and perception to compare to last year's responses, and added a few new questions about top-level concerns with AI at work. ",[93,97,99],{"_key":86,"_type":94,"blank":95,"href":96,"reference":12},"link",true,"https:\u002F\u002Fsurvey.stackoverflow.co\u002F2024\u002F?utm_medium=referral&utm_source=blog&utm_campaign=dev-survey-2024&utm_content=results",{"_key":68,"_type":94,"href":98,"reference":12},"https:\u002F\u002Fstackoverflow.blog\u002F2024\u002F05\u002F29\u002Fdevelopers-get-by-with-a-little-help-from-ai-stack-overflow-knows-code-assistant-pulse-survey-results\u002F",{"_key":77,"_type":94,"blank":95,"href":100,"reference":12},"https:\u002F\u002Fstackoverflow.co\u002Flabs\u002Fdeveloper-sentiment-ai-ml\u002F#h2-b17228b105df","normal",{"_key":103,"_type":48,"children":104,"markDefs":109,"style":101},"5479dcc49d15",[105],{"_key":106,"_type":52,"marks":107,"text":108},"176c8261923e",[],"",[],{"_key":111,"_type":48,"children":112,"markDefs":117,"style":56},"fb6ae4992716",[113],{"_key":114,"_type":52,"marks":115,"text":116},"9223fdbfa2c6",[],"Highlights",[],{"_key":119,"_type":48,"children":120,"level":125,"listItem":126,"markDefs":127,"style":101},"9a66eb0ad8d7",[121],{"_key":122,"_type":52,"marks":123,"text":124},"d510de715658",[],"76% of all respondents are currently using or are planning to use AI tools in their development process this year, up from 70% in 2023.",1,"bullet",[],{"_key":129,"_type":48,"children":130,"level":125,"listItem":126,"markDefs":135,"style":101},"5a1fd1f03667",[131],{"_key":132,"_type":52,"marks":133,"text":134},"a0defc48f858",[],"72% of all respondents are favorable or very favorable of AI tools for development. This is lower than last year's favorability of 77%; a decline in favorability could be due to disappointing results from usage.",[],{"_key":137,"_type":48,"children":138,"level":125,"listItem":126,"markDefs":143,"style":101},"313a587256eb",[139],{"_key":140,"_type":52,"marks":141,"text":142},"e268b77ec021",[],"Similar to last year, developers remain split on whether they trust AI output: 43% feel good about AI accuracy and 31% are skeptical. Developers learning to code are trusting AI accuracy more than their professional counterparts (49% vs. 42%).",[],{"_key":145,"_type":48,"children":146,"level":125,"listItem":126,"markDefs":151,"style":101},"a7b9026e468d",[147],{"_key":148,"_type":52,"marks":149,"text":150},"b8d76ec4a541",[],"70% of professional developers do not perceive AI as a threat to their job.",[],{"_key":153,"_type":48,"children":154,"markDefs":159,"style":56},"f991917d872f",[155],{"_key":156,"_type":52,"marks":157,"text":158},"f97eb40746be",[],"Current Use of AI Tools",[],{"_key":161,"_type":48,"children":162,"markDefs":176,"style":101},"757057ed528a",[163,167,171],{"_key":164,"_type":52,"marks":165,"text":166},"46be452537e7",[63],"Question",{"_key":168,"_type":52,"marks":169,"text":170},"93824daaa7fd",[],": Do ",{"_key":172,"_type":52,"marks":173,"text":175},"b25ecb262423",[174],"em","you currently use AI tools in your development process?",[],{"_key":178,"_type":48,"children":179,"markDefs":184,"style":185},"fa1a5c69c455",[180],{"_key":181,"_type":52,"marks":182,"text":183},"3c1fcf099be9",[],"Current Use: Professionals vs. Learning to Code",[],"h3",{"_key":187,"_type":48,"children":188,"markDefs":193,"style":101},"c9c0e581c1c3",[189],{"_key":190,"_type":52,"marks":191,"text":192},"84c0c8e8bb1e",[],"More developers learning to code are using or are interested in using AI tools than professional developers, and this makes sense because developers learning are less likely to have preset loyalties to existing technologies.",[],{"_key":195,"_type":48,"children":196,"markDefs":200,"style":101},"638165b7c983",[197],{"_key":198,"_type":52,"marks":199,"text":108},"43bf5f5068eb",[],[],{"_key":202,"_type":203,"code":204,"markDefs":12},"38cd81e7e14e","html","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nYes\n\u003C\u002Fth>\n\u003Cth>\nNo, but I plan to soon\n\u003C\u002Fth>\n\u003Cth>\nNo, and I don’t plan to\n\u003C\u002Fth>\n\u003Cth>\nSum: Use or Plan to Use\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nLearning to Code\n\u003C\u002Ftd>\n\u003Ctd>\n66.2%\n\u003C\u002Ftd>\n\u003Ctd>\n17.28%\n\u003C\u002Ftd>\n\u003Ctd>\n16.52%\n\u003C\u002Ftd>\n\u003Ctd>\n83.48%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nProfessional Developers\n\u003C\u002Ftd>\n\u003Ctd>\n63.26%\n\u003C\u002Ftd>\n\u003Ctd>\n13.35%\n\u003C\u002Ftd>\n\u003Ctd>\n23.39%\n\u003C\u002Ftd>\n\u003Ctd>\n76.61%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":206,"_type":48,"children":207,"markDefs":212,"style":185},"9c5f863d3241",[208],{"_key":209,"_type":52,"marks":210,"text":211},"e0d460a60fdd",[],"Current Use: Top 10 Developer Roles",[],{"_key":214,"_type":48,"children":215,"markDefs":220,"style":101},"016449b4934d",[216],{"_key":217,"_type":52,"marks":218,"text":219},"26a661d0e70a",[],"Of the top ten roles developers selected in the 2024 Developer Survey, mobile developers, full-stack developers and engineering managers are all most likely to be using or want to use AI tools.  Different roles have different contexts for code; people managers are likely to have more influence over technology purchases, it makes sense that they are represented in top 3 roles using AI tools more than average.",[],{"_key":222,"_type":48,"children":223,"markDefs":227,"style":101},"9a716057fcba",[224],{"_key":225,"_type":52,"marks":226,"text":108},"a727b65681fa",[],[],{"_key":229,"_type":203,"code":230,"markDefs":12},"719ff9db5086","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nYes\n\u003C\u002Fth>\n\u003Cth>\nNo, but I plan to soon\n\u003C\u002Fth>\n\u003Cth>\nNo, and I don’t plan to\n\u003C\u002Fth>\n\u003Cth>\nSum: Use or Plan to Use\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nDeveloper, mobile\n\u003C\u002Ftd>\n\u003Ctd>\n65.19%\n\u003C\u002Ftd>\n\u003Ctd>\n17.28%\n\u003C\u002Ftd>\n\u003Ctd>\n17.53%\n\u003C\u002Ftd>\n\u003Ctd>\n82.47%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, front-end\n\u003C\u002Ftd>\n\u003Ctd>\n69.06%\n\u003C\u002Ftd>\n\u003Ctd>\n12.93%\n\u003C\u002Ftd>\n\u003Ctd>\n18.01%\n\u003C\u002Ftd>\n\u003Ctd>\n81.99%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nEngineering manager\n\u003C\u002Ftd>\n\u003Ctd>\n62.49%\n\u003C\u002Ftd>\n\u003Ctd>\n18.83%\n\u003C\u002Ftd>\n\u003Ctd>\n18.68%\n\u003C\u002Ftd>\n\u003Ctd>\n81.32%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, full-stack\n\u003C\u002Ftd>\n\u003Ctd>\n65.3%\n\u003C\u002Ftd>\n\u003Ctd>\n12.92%\n\u003C\u002Ftd>\n\u003Ctd>\n21.78%\n\u003C\u002Ftd>\n\u003Ctd>\n78.22%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nData engineer\n\u003C\u002Ftd>\n\u003Ctd>\n60.79%\n\u003C\u002Ftd>\n\u003Ctd>\n16.33%\n\u003C\u002Ftd>\n\u003Ctd>\n22.88%\n\u003C\u002Ftd>\n\u003Ctd>\n77.12%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, back-end\n\u003C\u002Ftd>\n\u003Ctd>\n61.97%\n\u003C\u002Ftd>\n\u003Ctd>\n13.92%\n\u003C\u002Ftd>\n\u003Ctd>\n24.11%\n\u003C\u002Ftd>\n\u003Ctd>\n75.89%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nStudent\n\u003C\u002Ftd>\n\u003Ctd>\n61.51%\n\u003C\u002Ftd>\n\u003Ctd>\n10.36%\n\u003C\u002Ftd>\n\u003Ctd>\n28.13%\n\u003C\u002Ftd>\n\u003Ctd>\n71.87%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nAcademic researcher\n\u003C\u002Ftd>\n\u003Ctd>\n57.8%\n\u003C\u002Ftd>\n\u003Ctd>\n10.76%\n\u003C\u002Ftd>\n\u003Ctd>\n31.44%\n\u003C\u002Ftd>\n\u003Ctd>\n68.56%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, desktop or enterprise applications\n\u003C\u002Ftd>\n\u003Ctd>\n44.99%\n\u003C\u002Ftd>\n\u003Ctd>\n17.22%\n\u003C\u002Ftd>\n\u003Ctd>\n37.79%\n\u003C\u002Ftd>\n\u003Ctd>\n62.21%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, embedded applications or devices\n\u003C\u002Ftd>\n\u003Ctd>\n43.46%\n\u003C\u002Ftd>\n\u003Ctd>\n14.09%\n\u003C\u002Ftd>\n\u003Ctd>\n42.45%\n\u003C\u002Ftd>\n\u003Ctd>\n57.55%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":232,"_type":48,"children":233,"markDefs":237,"style":101},"a69493b71dea",[234],{"_key":235,"_type":52,"marks":236,"text":108},"43365b2d8437",[],[],{"_key":239,"_type":48,"children":240,"markDefs":245,"style":185},"30d0c3dbd2e2",[241],{"_key":242,"_type":52,"marks":243,"text":244},"9c4804dc144d",[],"Current Use: Years of Experience",[],{"_key":247,"_type":48,"children":248,"markDefs":253,"style":101},"2942e5b769f8",[249],{"_key":250,"_type":52,"marks":251,"text":252},"e3acf78c59bb0",[],"Developers with less than 10 years experience are also more likely to have used or plan to use AI tools (> 77%).  Those with less experience are closer to learning communities, these developers are influenced by peers that are learning and are more likely to be using AI tools.",[],{"_key":255,"_type":48,"children":256,"markDefs":260,"style":101},"55e5ff1790a3",[257],{"_key":258,"_type":52,"marks":259,"text":108},"6ecc70562967",[],[],{"_key":262,"_type":203,"code":263,"markDefs":12},"f29403c446c8","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nYes\n\u003C\u002Fth>\n\u003Cth>\nNo, but I plan to soon\n\u003C\u002Fth>\n\u003Cth>\nNo, and I don’t plan to\n\u003C\u002Fth>\n\u003Cth>\nSum: Use or Plan to Use\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\n1 to 4 years\n\u003C\u002Ftd>\n\u003Ctd>\n70.72%\n\u003C\u002Ftd>\n\u003Ctd>\n10.13%\n\u003C\u002Ftd>\n\u003Ctd>\n19.15%\n\u003C\u002Ftd>\n\u003Ctd>\n80.85%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nLess than 1 year\n\u003C\u002Ftd>\n\u003Ctd>\n70.11%\n\u003C\u002Ftd>\n\u003Ctd>\n9.95%\n\u003C\u002Ftd>\n\u003Ctd>\n19.94%\n\u003C\u002Ftd>\n\u003Ctd>\n80.06%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n5 to 9 years\n\u003C\u002Ftd>\n\u003Ctd>\n63.88%\n\u003C\u002Ftd>\n\u003Ctd>\n13.43%\n\u003C\u002Ftd>\n\u003Ctd>\n22.68%\n\u003C\u002Ftd>\n\u003Ctd>\n77.31%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n10 to 14 years\n\u003C\u002Ftd>\n\u003Ctd>\n58.29%\n\u003C\u002Ftd>\n\u003Ctd>\n15.17%\n\u003C\u002Ftd>\n\u003Ctd>\n26.54%\n\u003C\u002Ftd>\n\u003Ctd>\n73.46%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n15 to 19 years\n\u003C\u002Ftd>\n\u003Ctd>\n55.24%\n\u003C\u002Ftd>\n\u003Ctd>\n16.71%\n\u003C\u002Ftd>\n\u003Ctd>\n28.05%\n\u003C\u002Ftd>\n\u003Ctd>\n71.95%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n20 + years\n\u003C\u002Ftd>\n\u003Ctd>\n49.16%\n\u003C\u002Ftd>\n\u003Ctd>\n18.27%\n\u003C\u002Ftd>\n\u003Ctd>\n32.57%\n\u003C\u002Ftd>\n\u003Ctd>\n67.43%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":265,"_type":48,"children":266,"markDefs":271,"style":185},"84d90d9054ba",[267],{"_key":268,"_type":52,"marks":269,"text":270},"8c202fdeecf3",[],"Current Use: IC’s vs. People Manager",[],{"_key":273,"_type":48,"children":274,"markDefs":279,"style":101},"d5d82674e7dd",[275],{"_key":276,"_type":52,"marks":277,"text":278},"ff7503521d21",[],"People managers are more likely than individual contributors to be using or interested in using AI tools.  This makes sense, people managers are more likely to respond positively to \"I have a great deal of influence\" on technology purchases, such as senior executives (99%), engineering managers (87%), and product managers (77%).",[],{"_key":281,"_type":48,"children":282,"markDefs":286,"style":101},"91d39e5d2bba",[283],{"_key":284,"_type":52,"marks":285,"text":108},"177631411f45",[],[],{"_key":288,"_type":203,"code":289,"markDefs":12},"2764732af825","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nYes\n\u003C\u002Fth>\n\u003Cth>\nNo, but I plan to soon\n\u003C\u002Fth>\n\u003Cth>\nNo, and I don’t plan to\n\u003C\u002Fth>\n\u003Cth>\nSum: Use or Plan to Use\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nPeople Managers\n\u003C\u002Ftd>\n\u003Ctd>\n65.35%\n\u003C\u002Ftd>\n\u003Ctd>\n16.82%\n\u003C\u002Ftd>\n\u003Ctd>\n17.84%\n\u003C\u002Ftd>\n\u003Ctd>\n82.17%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nIndividual Contributors\n\u003C\u002Ftd>\n\u003Ctd>\n62.07%\n\u003C\u002Ftd>\n\u003Ctd>\n13.7%\n\u003C\u002Ftd>\n\u003Ctd>\n24.23%\n\u003C\u002Ftd>\n\u003Ctd>\n75.77%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":291,"_type":48,"children":292,"markDefs":297,"style":185},"24c43a417b9d",[293],{"_key":294,"_type":52,"marks":295,"text":296},"f6428d292118",[],"Current Use: Top 10 Countries",[],{"_key":299,"_type":48,"children":300,"markDefs":315,"style":101},"b2530e9d1574",[301,305,311],{"_key":302,"_type":52,"marks":303,"text":304},"f88a21abe0c60",[],"India, Ukraine, and Brazil are the most likely to be using or planning to use AI tools in their work (> 81%). In a ",{"_key":306,"_type":52,"marks":307,"text":310},"138cb4b5c14d",[308,309],"d1d4aa4f97a5","49c400009485","report Coursera published",{"_key":312,"_type":52,"marks":313,"text":314},"fef329731cc7",[]," to spotlight learning trends in different countries, India increased GenAI course enrollment in 2024 by 1,648%, Brazil by 1,079%.",[316,317],{"_key":308,"_type":94,"reference":12},{"_key":309,"_type":94,"blank":95,"href":318,"reference":12},"https:\u002F\u002Fwww.coursera.org\u002Fskills-reports\u002Fglobal\u002Fpdf\u002Fgsr-2024",{"_key":320,"_type":48,"children":321,"markDefs":325,"style":101},"6631318f1b06",[322],{"_key":323,"_type":52,"marks":324,"text":108},"d06d1333c950",[],[],{"_key":327,"_type":203,"code":328,"markDefs":12},"848dae355f8f","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nYes\n\u003C\u002Fth>\n\u003Cth>\nNo, but I plan to soon\n\u003C\u002Fth>\n\u003Cth>\nNo, and I don’t plan to\n\u003C\u002Fth>\n\u003Cth>\nSum: Use or Plan to Use\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nIndia\n\u003C\u002Ftd>\n\u003Ctd>\n67.94%\n\u003C\u002Ftd>\n\u003Ctd>\n21.53%\n\u003C\u002Ftd>\n\u003Ctd>\n10.53%\n\u003C\u002Ftd>\n\u003Ctd>\n89.47%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUkraine\n\u003C\u002Ftd>\n\u003Ctd>\n72.34%\n\u003C\u002Ftd>\n\u003Ctd>\n14.58%\n\u003C\u002Ftd>\n\u003Ctd>\n13.08%\n\u003C\u002Ftd>\n\u003Ctd>\n86.92%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nBrazil\n\u003C\u002Ftd>\n\u003Ctd>\n65.98%\n\u003C\u002Ftd>\n\u003Ctd>\n15.14%\n\u003C\u002Ftd>\n\u003Ctd>\n18.87%\n\u003C\u002Ftd>\n\u003Ctd>\n81.12%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nPoland\n\u003C\u002Ftd>\n\u003Ctd>\n62.97%\n\u003C\u002Ftd>\n\u003Ctd>\n11.29%\n\u003C\u002Ftd>\n\u003Ctd>\n25.74%\n\u003C\u002Ftd>\n\u003Ctd>\n74.26%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nCanada\n\u003C\u002Ftd>\n\u003Ctd>\n58.21%\n\u003C\u002Ftd>\n\u003Ctd>\n13.34%\n\u003C\u002Ftd>\n\u003Ctd>\n28.45%\n\u003C\u002Ftd>\n\u003Ctd>\n71.55%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nNetherlands\n\u003C\u002Ftd>\n\u003Ctd>\n60.24%\n\u003C\u002Ftd>\n\u003Ctd>\n10.41%\n\u003C\u002Ftd>\n\u003Ctd>\n29.35%\n\u003C\u002Ftd>\n\u003Ctd>\n70.65%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nGermany\n\u003C\u002Ftd>\n\u003Ctd>\n57.1%\n\u003C\u002Ftd>\n\u003Ctd>\n12.65%\n\u003C\u002Ftd>\n\u003Ctd>\n30.26%\n\u003C\u002Ftd>\n\u003Ctd>\n69.75%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUnited States of America\n\u003C\u002Ftd>\n\u003Ctd>\n54.25%\n\u003C\u002Ftd>\n\u003Ctd>\n13.38%\n\u003C\u002Ftd>\n\u003Ctd>\n32.37%\n\u003C\u002Ftd>\n\u003Ctd>\n67.63%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nFrance\n\u003C\u002Ftd>\n\u003Ctd>\n54.2%\n\u003C\u002Ftd>\n\u003Ctd>\n11.46%\n\u003C\u002Ftd>\n\u003Ctd>\n34.34%\n\u003C\u002Ftd>\n\u003Ctd>\n65.66%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUnited Kingdom of Great Britain and Northern Ireland\n\u003C\u002Ftd>\n\u003Ctd>\n50.7%\n\u003C\u002Ftd>\n\u003Ctd>\n13.03%\n\u003C\u002Ftd>\n\u003Ctd>\n36.27%\n\u003C\u002Ftd>\n\u003Ctd>\n63.73%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":330,"_type":48,"children":331,"markDefs":336,"style":56},"85f3ff91ccc1",[332],{"_key":333,"_type":52,"marks":334,"text":335},"a76b82fc0dc0",[],"Perception of AI tools",[],{"_key":338,"_type":48,"children":339,"markDefs":347,"style":101},"a818008127ac",[340,343],{"_key":341,"_type":52,"marks":342,"text":166},"64089d16d1d1",[63],{"_key":344,"_type":52,"marks":345,"text":346},"d6de078a98c1",[174],": How favorable is your stance on using AI tools as part of your development workflow?",[],{"_key":349,"_type":48,"children":350,"markDefs":375,"style":101},"fbb3ac201877",[351,355,359,363,367,371],{"_key":352,"_type":52,"marks":353,"text":354},"c2e0c835ed07",[63],"Favorable",{"_key":356,"_type":52,"marks":357,"text":358},"a9c7d21e8667",[]," = Very & Favorable\n",{"_key":360,"_type":52,"marks":361,"text":362},"6d4aec695547",[63],"Indifferent",{"_key":364,"_type":52,"marks":365,"text":366},"5c5a8e49388f",[]," = Indifferent & Unsure\n",{"_key":368,"_type":52,"marks":369,"text":370},"af65f48a28c1",[63],"Unfavorable",{"_key":372,"_type":52,"marks":373,"text":374},"d246c87bc357",[]," = Very & Unfavorable",[],{"_key":377,"_type":48,"children":378,"markDefs":383,"style":185},"67a045e56d35",[379],{"_key":380,"_type":52,"marks":381,"text":382},"47c48a3b1515",[],"Favorability: Professionals vs. Learning to Code",[],{"_key":385,"_type":48,"children":386,"markDefs":391,"style":101},"44bb458e18aa",[387],{"_key":388,"_type":52,"marks":389,"text":390},"70226f15fedb",[],"Professionals and those learning to code are fairly split on favorability, those learning to code are slightly more favorable and less indifferent.",[],{"_key":393,"_type":203,"code":394,"markDefs":12},"9fc7cb4f0975","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nFavorable\n\u003C\u002Fth>\n\u003Cth>\nIndifferent\n\u003C\u002Fth>\n\u003Cth>\nUnfavorable\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nLearning to Code\n\u003C\u002Ftd>\n\u003Ctd>\n74.05%\n\u003C\u002Ftd>\n\u003Ctd>\n15.8%\n\u003C\u002Ftd>\n\u003Ctd>\n5.2%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nProfessional Developers\n\u003C\u002Ftd>\n\u003Ctd>\n71.96%\n\u003C\u002Ftd>\n\u003Ctd>\n18.87%\n\u003C\u002Ftd>\n\u003Ctd>\n6.47%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":396,"_type":48,"children":397,"markDefs":402,"style":185},"6f039c4fbd0c",[398],{"_key":399,"_type":52,"marks":400,"text":401},"71b36dfb497d",[],"Favorability: Top 10 Developer Roles",[],{"_key":404,"_type":48,"children":405,"markDefs":410,"style":101},"4cbe7994cf48",[406],{"_key":407,"_type":52,"marks":408,"text":409},"e6d8be98b32e",[],"Front-end developers, data engineers and academic researchers are the most favorable of AI tools out of the top 10 developer roles from the Developer Survey.  These roles have had opportunity to experience benefits from GenAI.",[],{"_key":412,"_type":48,"children":413,"markDefs":417,"style":101},"0fb56bea62cc",[414],{"_key":415,"_type":52,"marks":416,"text":108},"97692fedea2c",[],[],{"_key":419,"_type":203,"code":420,"markDefs":12},"e6c86f1018af","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nFavorable\n\u003C\u002Fth>\n\u003Cth>\nIndifferent\n\u003C\u002Fth>\n\u003Cth>\nUnfavorable\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nDeveloper, front-end\n\u003C\u002Ftd>\n\u003Ctd>\n75.63%\n\u003C\u002Ftd>\n\u003Ctd>\n16.87%\n\u003C\u002Ftd>\n\u003Ctd>\n4.94%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nData engineer\n\u003C\u002Ftd>\n\u003Ctd>\n75.21%\n\u003C\u002Ftd>\n\u003Ctd>\n16.77%\n\u003C\u002Ftd>\n\u003Ctd>\n4.67%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nAcademic researcher\n\u003C\u002Ftd>\n\u003Ctd>\n74.14%\n\u003C\u002Ftd>\n\u003Ctd>\n13.9%\n\u003C\u002Ftd>\n\u003Ctd>\n9.03%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nEngineering manager\n\u003C\u002Ftd>\n\u003Ctd>\n73.16%\n\u003C\u002Ftd>\n\u003Ctd>\n18.09%\n\u003C\u002Ftd>\n\u003Ctd>\n6.29%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, full-stack\n\u003C\u002Ftd>\n\u003Ctd>\n72.24%\n\u003C\u002Ftd>\n\u003Ctd>\n18.69%\n\u003C\u002Ftd>\n\u003Ctd>\n6.44%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, mobile\n\u003C\u002Ftd>\n\u003Ctd>\n71.58%\n\u003C\u002Ftd>\n\u003Ctd>\n19.13%\n\u003C\u002Ftd>\n\u003Ctd>\n5.39%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nStudent\n\u003C\u002Ftd>\n\u003Ctd>\n70.73%\n\u003C\u002Ftd>\n\u003Ctd>\n18.08%\n\u003C\u002Ftd>\n\u003Ctd>\n7.41%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, back-end\n\u003C\u002Ftd>\n\u003Ctd>\n70.08%\n\u003C\u002Ftd>\n\u003Ctd>\n20.97%\n\u003C\u002Ftd>\n\u003Ctd>\n6.35%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, desktop or enterprise applications\n\u003C\u002Ftd>\n\u003Ctd>\n67.31%\n\u003C\u002Ftd>\n\u003Ctd>\n21.09%\n\u003C\u002Ftd>\n\u003Ctd>\n7.38%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, embedded applications or devices\n\u003C\u002Ftd>\n\u003Ctd>\n62.84%\n\u003C\u002Ftd>\n\u003Ctd>\n23.83%\n\u003C\u002Ftd>\n\u003Ctd>\n9.4%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n",{"_key":422,"_type":48,"children":423,"markDefs":428,"style":185},"2fcc35a5c1ac",[424],{"_key":425,"_type":52,"marks":426,"text":427},"9f09fe8a19c9",[],"Favorability: Years of Experience",[],{"_key":430,"_type":48,"children":431,"markDefs":436,"style":101},"3aff7121de8d",[432],{"_key":433,"_type":52,"marks":434,"text":435},"06c42d472f11",[],"Similar to trends seen with the current usage among groups of experienced developers, those with less experience have higher rates of favorability and those with more experience are more likely to be indifferent.",[],{"_key":438,"_type":48,"children":439,"markDefs":443,"style":101},"a6bc5673df2b",[440],{"_key":441,"_type":52,"marks":442,"text":108},"d18080cf6d00",[],[],{"_key":445,"_type":203,"code":446,"markDefs":12},"59fcbe2bafdd","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nFavorable\n\u003C\u002Fth>\n\u003Cth>\nIndifferent\n\u003C\u002Fth>\n\u003Cth>\nUnfavorable\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nLess than 1 year\n\u003C\u002Ftd>\n\u003Ctd>\n73.24%\n\u003C\u002Ftd>\n\u003Ctd>\n17.63%\n\u003C\u002Ftd>\n\u003Ctd>\n6.26%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n1 to 4 years\n\u003C\u002Ftd>\n\u003Ctd>\n74.56%\n\u003C\u002Ftd>\n\u003Ctd>\n17.49%\n\u003C\u002Ftd>\n\u003Ctd>\n6.1%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n5 to 9 years\n\u003C\u002Ftd>\n\u003Ctd>\n71.46%\n\u003C\u002Ftd>\n\u003Ctd>\n18.89%\n\u003C\u002Ftd>\n\u003Ctd>\n6.51%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n10 to 14 years\n\u003C\u002Ftd>\n\u003Ctd>\n70.25%\n\u003C\u002Ftd>\n\u003Ctd>\n20.32%\n\u003C\u002Ftd>\n\u003Ctd>\n6.56%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n15 to 19 years\n\u003C\u002Ftd>\n\u003Ctd>\n69.24%\n\u003C\u002Ftd>\n\u003Ctd>\n19.93%\n\u003C\u002Ftd>\n\u003Ctd>\n7.71%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n20 + years\n\u003C\u002Ftd>\n\u003Ctd>\n68.4%\n\u003C\u002Ftd>\n\u003Ctd>\n21.17%\n\u003C\u002Ftd>\n\u003Ctd>\n7.12%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":448,"_type":48,"children":449,"markDefs":454,"style":185},"bc05f67cb20f",[450],{"_key":451,"_type":52,"marks":452,"text":453},"bd47ebca1069",[],"Favorability: IC’s vs. People Managers",[],{"_key":456,"_type":48,"children":457,"markDefs":462,"style":101},"5cf329518d18",[458],{"_key":459,"_type":52,"marks":460,"text":461},"a3c94234eaf8",[],"These two groups are fairly similar in their favorability of AI tools. ",[],{"_key":464,"_type":203,"code":465,"markDefs":12},"b07c11e8c03d","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nFavorable\n\u003C\u002Fth>\n\u003Cth>\nIndifferent\n\u003C\u002Fth>\n\u003Cth>\nUnfavorable\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nPeople Managers\n\u003C\u002Ftd>\n\u003Ctd>\n73.35%\n\u003C\u002Ftd>\n\u003Ctd>\n18.27%\n\u003C\u002Ftd>\n\u003Ctd>\n6.32%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nIndividual Contributors\n\u003C\u002Ftd>\n\u003Ctd>\n71.51%\n\u003C\u002Ftd>\n\u003Ctd>\n19%\n\u003C\u002Ftd>\n\u003Ctd>\n6.85%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":467,"_type":48,"children":468,"markDefs":473,"style":185},"58b5fe424f66",[469],{"_key":470,"_type":52,"marks":471,"text":472},"50e3850b6440",[],"Favorability: Top 10 Countries",[],{"_key":475,"_type":48,"children":476,"markDefs":481,"style":101},"eedbbb672c80",[477],{"_key":478,"_type":52,"marks":479,"text":480},"4d6732e535690",[],"Brazil, India, and France are all most favorable to AI (> 74%); Brazil and India are also more likely to be using or planning to use AI tools than other countries in the top 10 group.",[],{"_key":483,"_type":48,"children":484,"markDefs":488,"style":101},"a481b6cede88",[485],{"_key":486,"_type":52,"marks":487,"text":108},"566507cda027",[],[],{"_key":490,"_type":203,"code":491,"markDefs":12},"7911625528b3","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nFavorable\n\u003C\u002Fth>\n\u003Cth>\nIndifferent\n\u003C\u002Fth>\n\u003Cth>\nUnfavorable\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nBrazil\n\u003C\u002Ftd>\n\u003Ctd>\n80.08%\n\u003C\u002Ftd>\n\u003Ctd>\n14.43%\n\u003C\u002Ftd>\n\u003Ctd>\n3.33%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nIndia\n\u003C\u002Ftd>\n\u003Ctd>\n78.57%\n\u003C\u002Ftd>\n\u003Ctd>\n14.63%\n\u003C\u002Ftd>\n\u003Ctd>\n3.51%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nFrance\n\u003C\u002Ftd>\n\u003Ctd>\n74.22%\n\u003C\u002Ftd>\n\u003Ctd>\n14.64%\n\u003C\u002Ftd>\n\u003Ctd>\n6.63%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nCanada\n\u003C\u002Ftd>\n\u003Ctd>\n72.04%\n\u003C\u002Ftd>\n\u003Ctd>\n18.55%\n\u003C\u002Ftd>\n\u003Ctd>\n7.2%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nNetherlands\n\u003C\u002Ftd>\n\u003Ctd>\n70.43%\n\u003C\u002Ftd>\n\u003Ctd>\n19.35%\n\u003C\u002Ftd>\n\u003Ctd>\n7.66%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUnited States of America\n\u003C\u002Ftd>\n\u003Ctd>\n68.54%\n\u003C\u002Ftd>\n\u003Ctd>\n20.25%\n\u003C\u002Ftd>\n\u003Ctd>\n8.66%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUnited Kingdom of Great Britain and Northern Ireland\n\u003C\u002Ftd>\n\u003Ctd>\n67.16%\n\u003C\u002Ftd>\n\u003Ctd>\n22.12%\n\u003C\u002Ftd>\n\u003Ctd>\n9.2%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUkraine\n\u003C\u002Ftd>\n\u003Ctd>\n65.24%\n\u003C\u002Ftd>\n\u003Ctd>\n26.81%\n\u003C\u002Ftd>\n\u003Ctd>\n4.09%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nGermany\n\u003C\u002Ftd>\n\u003Ctd>\n64.31%\n\u003C\u002Ftd>\n\u003Ctd>\n23.23%\n\u003C\u002Ftd>\n\u003Ctd>\n8.75%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nPoland\n\u003C\u002Ftd>\n\u003Ctd>\n61.9%\n\u003C\u002Ftd>\n\u003Ctd>\n23.87%\n\u003C\u002Ftd>\n\u003Ctd>\n9.99%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":493,"_type":48,"children":494,"markDefs":499,"style":56},"482896458a03",[495],{"_key":496,"_type":52,"marks":497,"text":498},"5c5cb828859e",[],"Benefits of AI tools",[],{"_key":501,"_type":48,"children":502,"markDefs":514,"style":101},"8fa1ca0980e2",[503,506,510],{"_key":504,"_type":52,"marks":505,"text":166},"6e1e23924050",[63],{"_key":507,"_type":52,"marks":508,"text":509},"d7dc032bb255",[],": ",{"_key":511,"_type":52,"marks":512,"text":513},"183c5dd3652d",[174],"For the AI tools you use as part of your development workflow, what are the MOST important benefits you are hoping to achieve?",[],{"_key":516,"_type":48,"children":517,"markDefs":522,"style":185},"6694b3d002f5",[518],{"_key":519,"_type":52,"marks":520,"text":521},"858831ba66a4",[],"Benefits: Professionals vs. Learning to Code",[],{"_key":524,"_type":48,"children":525,"markDefs":530,"style":101},"e942e3639d95",[526],{"_key":527,"_type":52,"marks":528,"text":529},"997766e847cf0",[],"Those learning to code are focused on leveling up to a professional position and this most likely influenced their top choice of “speed up learning” as AI tools’ top benefit  (76% v. 72% for “increase productivity”). This may be the reason those with less experience also embrace this emerging technology.",[],{"_key":532,"_type":203,"code":533,"markDefs":12},"680b00721dfa","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nIncrease productivity\n\u003C\u002Fth>\n\u003Cth>\nSpeed up learning\n\u003C\u002Fth>\n\u003Cth>\nGreater efficiency\n\u003C\u002Fth>\n\u003Cth>\nImprove accuracy in coding\n\u003C\u002Fth>\n\u003Cth>\nMake workload more manageable\n\u003C\u002Fth>\n\u003Cth>\nImprove collaboration\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nLearning to Code\n\u003C\u002Ftd>\n\u003Ctd>\n72.18%\n\u003C\u002Ftd>\n\u003Ctd>\n76.38%\n\u003C\u002Ftd>\n\u003Ctd>\n57.68%\n\u003C\u002Ftd>\n\u003Ctd>\n39.7%\n\u003C\u002Ftd>\n\u003Ctd>\n31.39%\n\u003C\u002Ftd>\n\u003Ctd>\n12.06%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nProfessional Developers\n\u003C\u002Ftd>\n\u003Ctd>\n82.59%\n\u003C\u002Ftd>\n\u003Ctd>\n60.87%\n\u003C\u002Ftd>\n\u003Ctd>\n58.45%\n\u003C\u002Ftd>\n\u003Ctd>\n28.72%\n\u003C\u002Ftd>\n\u003Ctd>\n24.27%\n\u003C\u002Ftd>\n\u003Ctd>\n7.51%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":535,"_type":48,"children":536,"markDefs":541,"style":185},"a09462887a9f",[537],{"_key":538,"_type":52,"marks":539,"text":540},"b98b4a2f0c03",[],"Benefits: Top 10 Developer Roles",[],{"_key":543,"_type":48,"children":544,"markDefs":549,"style":101},"57cc524e340d",[545],{"_key":546,"_type":52,"marks":547,"text":548},"788451d60281",[],"All of the top 10 developer roles agree that \"increased productivity\" is the top benefit of GenAI.  For the secondary benefit of \"speed up learning\", data engineers and students rank it higher than other roles, and for \"greater efficiency\" engineering managers and students rank it higher than other roles.",[],{"_key":551,"_type":48,"children":552,"markDefs":556,"style":101},"b699c2e317fa",[553],{"_key":554,"_type":52,"marks":555,"text":108},"200f1e1fd7cb",[],[],{"_key":558,"_type":48,"children":559,"markDefs":564,"style":101},"222690bac3c8",[560],{"_key":561,"_type":52,"marks":562,"text":563},"8b9533f4a021",[],"Students with access to student discounts and free trials are able to utilize some GenAI tools with less cost burden than their professional peers, but it is assumed that cost is still prohibitive for the majority of GenAI tools.",[],{"_key":566,"_type":48,"children":567,"markDefs":571,"style":101},"a01eddaa3936",[568],{"_key":569,"_type":52,"marks":570,"text":108},"effae8265efe",[],[],{"_key":573,"_type":203,"code":574,"markDefs":12},"ae1a07e99295","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nIncrease productivity\n\u003C\u002Fth>\n\u003Cth>\nSpeed up learning\n\u003C\u002Fth>\n\u003Cth>\nGreater efficiency\n\u003C\u002Fth>\n\u003Cth>\nImprove accuracy in coding\n\u003C\u002Fth>\n\u003Cth>\nMake workload more manageable\n\u003C\u002Fth>\n\u003Cth>\nImprove collaboration\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nAcademic researcher\n\u003C\u002Ftd>\n\u003Ctd>\n76.8%\n\u003C\u002Ftd>\n\u003Ctd>\n58.88%\n\u003C\u002Ftd>\n\u003Ctd>\n57.86%\n\u003C\u002Ftd>\n\u003Ctd>\n25.99%\n\u003C\u002Ftd>\n\u003Ctd>\n25.99%\n\u003C\u002Ftd>\n\u003Ctd>\n6.61%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nData engineer\n\u003C\u002Ftd>\n\u003Ctd>\n82.6%\n\u003C\u002Ftd>\n\u003Ctd>\n67.02%\n\u003C\u002Ftd>\n\u003Ctd>\n60.46%\n\u003C\u002Ftd>\n\u003Ctd>\n31.45%\n\u003C\u002Ftd>\n\u003Ctd>\n23.51%\n\u003C\u002Ftd>\n\u003Ctd>\n8.4%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, back-end\n\u003C\u002Ftd>\n\u003Ctd>\n81.48%\n\u003C\u002Ftd>\n\u003Ctd>\n61.07%\n\u003C\u002Ftd>\n\u003Ctd>\n54.22%\n\u003C\u002Ftd>\n\u003Ctd>\n27.2%\n\u003C\u002Ftd>\n\u003Ctd>\n22.42%\n\u003C\u002Ftd>\n\u003Ctd>\n6.74%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, desktop or enterprise applications\n\u003C\u002Ftd>\n\u003Ctd>\n80.68%\n\u003C\u002Ftd>\n\u003Ctd>\n63.57%\n\u003C\u002Ftd>\n\u003Ctd>\n56.76%\n\u003C\u002Ftd>\n\u003Ctd>\n28.43%\n\u003C\u002Ftd>\n\u003Ctd>\n21.16%\n\u003C\u002Ftd>\n\u003Ctd>\n6.26%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, embedded applications or devices\n\u003C\u002Ftd>\n\u003Ctd>\n75.04%\n\u003C\u002Ftd>\n\u003Ctd>\n64.78%\n\u003C\u002Ftd>\n\u003Ctd>\n55.42%\n\u003C\u002Ftd>\n\u003Ctd>\n20.51%\n\u003C\u002Ftd>\n\u003Ctd>\n20.51%\n\u003C\u002Ftd>\n\u003Ctd>\n3.57%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, front-end\n\u003C\u002Ftd>\n\u003Ctd>\n82.54%\n\u003C\u002Ftd>\n\u003Ctd>\n58.07%\n\u003C\u002Ftd>\n\u003Ctd>\n60.56%\n\u003C\u002Ftd>\n\u003Ctd>\n33.83%\n\u003C\u002Ftd>\n\u003Ctd>\n25.92%\n\u003C\u002Ftd>\n\u003Ctd>\n8.23%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, full-stack\n\u003C\u002Ftd>\n\u003Ctd>\n83.26%\n\u003C\u002Ftd>\n\u003Ctd>\n60.76%\n\u003C\u002Ftd>\n\u003Ctd>\n60.48%\n\u003C\u002Ftd>\n\u003Ctd>\n29.68%\n\u003C\u002Ftd>\n\u003Ctd>\n25.03%\n\u003C\u002Ftd>\n\u003Ctd>\n7.56%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, mobile\n\u003C\u002Ftd>\n\u003Ctd>\n82.59%\n\u003C\u002Ftd>\n\u003Ctd>\n61.79%\n\u003C\u002Ftd>\n\u003Ctd>\n56.41%\n\u003C\u002Ftd>\n\u003Ctd>\n34.34%\n\u003C\u002Ftd>\n\u003Ctd>\n27.93%\n\u003C\u002Ftd>\n\u003Ctd>\n11.16%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nEngineering manager\n\u003C\u002Ftd>\n\u003Ctd>\n84.03%\n\u003C\u002Ftd>\n\u003Ctd>\n58.44%\n\u003C\u002Ftd>\n\u003Ctd>\n61.69%\n\u003C\u002Ftd>\n\u003Ctd>\n28.18%\n\u003C\u002Ftd>\n\u003Ctd>\n22.08%\n\u003C\u002Ftd>\n\u003Ctd>\n6.49%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nStudent\n\u003C\u002Ftd>\n\u003Ctd>\n74.72%\n\u003C\u002Ftd>\n\u003Ctd>\n68.72%\n\u003C\u002Ftd>\n\u003Ctd>\n60.81%\n\u003C\u002Ftd>\n\u003Ctd>\n33.65%\n\u003C\u002Ftd>\n\u003Ctd>\n27.62%\n\u003C\u002Ftd>\n\u003Ctd>\n6.79%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":576,"_type":48,"children":577,"markDefs":582,"style":185},"19706a327fce",[578],{"_key":579,"_type":52,"marks":580,"text":581},"2d8864e87b1e",[],"Benefits: Years of Experience",[],{"_key":584,"_type":48,"children":585,"markDefs":590,"style":101},"e78170d7b0d3",[586],{"_key":587,"_type":52,"marks":588,"text":589},"9a6baba38017",[],"Later-career developers are more likely to rate \"increase in productivity\" higher than less-experienced developers.  Developers with 1 - 4 years of experience rate \"speed up learning\" and \"greater efficiency\" higher than other experience groups.  Productivity is important to all experience levels, but finding ways to save time learning or coding are valuable to those that may be spending extra time doing both.",[],{"_key":592,"_type":48,"children":593,"markDefs":597,"style":101},"bab8b64f2578",[594],{"_key":595,"_type":52,"marks":596,"text":108},"66c77c9a5c37",[],[],{"_key":599,"_type":203,"code":600,"markDefs":12},"a223fe594a13","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nIncrease productivity\n\u003C\u002Fth>\n\u003Cth>\nSpeed up learning\n\u003C\u002Fth>\n\u003Cth>\nGreater efficiency\n\u003C\u002Fth>\n\u003Cth>\nImprove accuracy in coding\n\u003C\u002Fth>\n\u003Cth>\nMake workload more manageable\n\u003C\u002Fth>\n\u003Cth>\nImprove collaboration\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nLess than 1 year\n\u003C\u002Ftd>\n\u003Ctd>\n78.52%\n\u003C\u002Ftd>\n\u003Ctd>\n70.35%\n\u003C\u002Ftd>\n\u003Ctd>\n59.87%\n\u003C\u002Ftd>\n\u003Ctd>\n32.65%\n\u003C\u002Ftd>\n\u003Ctd>\n29.23%\n\u003C\u002Ftd>\n\u003Ctd>\n7.95%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n1 to 4 years\n\u003C\u002Ftd>\n\u003Ctd>\n80.99%\n\u003C\u002Ftd>\n\u003Ctd>\n64.75%\n\u003C\u002Ftd>\n\u003Ctd>\n61.64%\n\u003C\u002Ftd>\n\u003Ctd>\n30.41%\n\u003C\u002Ftd>\n\u003Ctd>\n28.75%\n\u003C\u002Ftd>\n\u003Ctd>\n8.22%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n5 to 9 years\n\u003C\u002Ftd>\n\u003Ctd>\n82.83%\n\u003C\u002Ftd>\n\u003Ctd>\n59.51%\n\u003C\u002Ftd>\n\u003Ctd>\n59.8%\n\u003C\u002Ftd>\n\u003Ctd>\n28.07%\n\u003C\u002Ftd>\n\u003Ctd>\n25.06%\n\u003C\u002Ftd>\n\u003Ctd>\n7.73%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n10 to 14 years\n\u003C\u002Ftd>\n\u003Ctd>\n83.98%\n\u003C\u002Ftd>\n\u003Ctd>\n58.25%\n\u003C\u002Ftd>\n\u003Ctd>\n56.66%\n\u003C\u002Ftd>\n\u003Ctd>\n28.05%\n\u003C\u002Ftd>\n\u003Ctd>\n22.51%\n\u003C\u002Ftd>\n\u003Ctd>\n7.64%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n15 to 19 years\n\u003C\u002Ftd>\n\u003Ctd>\n84.24%\n\u003C\u002Ftd>\n\u003Ctd>\n57.04%\n\u003C\u002Ftd>\n\u003Ctd>\n56.53%\n\u003C\u002Ftd>\n\u003Ctd>\n28.34%\n\u003C\u002Ftd>\n\u003Ctd>\n18.46%\n\u003C\u002Ftd>\n\u003Ctd>\n6.04%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n20 + years\n\u003C\u002Ftd>\n\u003Ctd>\n82.86%\n\u003C\u002Ftd>\n\u003Ctd>\n60.37%\n\u003C\u002Ftd>\n\u003Ctd>\n53.4%\n\u003C\u002Ftd>\n\u003Ctd>\n28.21%\n\u003C\u002Ftd>\n\u003Ctd>\n17.64%\n\u003C\u002Ftd>\n\u003Ctd>\n5.4%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":602,"_type":48,"children":603,"markDefs":608,"style":185},"33b8e5800594",[604],{"_key":605,"_type":52,"marks":606,"text":607},"b4460e0ec65c",[],"Benefits: IC’s vs. People Managers",[],{"_key":610,"_type":48,"children":611,"markDefs":616,"style":101},"ec0933e9d7ad",[612],{"_key":613,"_type":52,"marks":614,"text":615},"895415d5c733",[],"People managers are more likely to rate all the listed benefits higher than individual contributors except for \"speed up learning\" but the percentages difference are very close.",[],{"_key":618,"_type":48,"children":619,"markDefs":623,"style":101},"b4ff6927f167",[620],{"_key":621,"_type":52,"marks":622,"text":108},"8f0b523887ea",[],[],{"_key":625,"_type":203,"code":626,"markDefs":12},"019e865b972c","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nIncrease productivity\n\u003C\u002Fth>\n\u003Cth>\nSpeed up learning\n\u003C\u002Fth>\n\u003Cth>\nGreater efficiency\n\u003C\u002Fth>\n\u003Cth>\nImprove accuracy in coding\n\u003C\u002Fth>\n\u003Cth>\nMake workload more manageable\n\u003C\u002Fth>\n\u003Cth>\nImprove collaboration\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nPeople Managers\n\u003C\u002Ftd>\n\u003Ctd>\n84.57%\n\u003C\u002Ftd>\n\u003Ctd>\n61.08%\n\u003C\u002Ftd>\n\u003Ctd>\n59.97%\n\u003C\u002Ftd>\n\u003Ctd>\n31.05%\n\u003C\u002Ftd>\n\u003Ctd>\n26.66%\n\u003C\u002Ftd>\n\u003Ctd>\n9.65%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nIndividual Contributors\n\u003C\u002Ftd>\n\u003Ctd>\n82.69%\n\u003C\u002Ftd>\n\u003Ctd>\n61.35%\n\u003C\u002Ftd>\n\u003Ctd>\n59.63%\n\u003C\u002Ftd>\n\u003Ctd>\n28.32%\n\u003C\u002Ftd>\n\u003Ctd>\n24.5%\n\u003C\u002Ftd>\n\u003Ctd>\n7.55%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":628,"_type":48,"children":629,"markDefs":634,"style":185},"686045c4b470",[630],{"_key":631,"_type":52,"marks":632,"text":633},"18ca0c0e5237",[],"Benefits: Top 10 Countries",[],{"_key":636,"_type":48,"children":637,"markDefs":650,"style":101},"0688e15c5885",[638,642,646],{"_key":639,"_type":52,"marks":640,"text":641},"70b1836129da",[],"India rates the less selected benefits of \"improve accuracy\", \"make workloads more manageable\", and \"improve collaboration\" higher than other countries.  India is the top country for AI tool usage in the ",{"_key":643,"_type":52,"marks":644,"text":87},"8d6fffc9c04f",[645],"62713679c4bd",{"_key":647,"_type":52,"marks":648,"text":649},"b6ea91e68be9",[],".",[651],{"_key":645,"_type":94,"blank":95,"href":96,"reference":12},{"_key":653,"_type":48,"children":654,"markDefs":658,"style":101},"38adb0459489",[655],{"_key":656,"_type":52,"marks":657,"text":108},"b6e6d079f268",[],[],{"_key":660,"_type":203,"code":661,"markDefs":12},"b40704d6e4fd","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nIncrease productivity\n\u003C\u002Fth>\n\u003Cth>\nSpeed up learning\n\u003C\u002Fth>\n\u003Cth>\nGreater efficiency\n\u003C\u002Fth>\n\u003Cth>\nImprove accuracy in coding\n\u003C\u002Fth>\n\u003Cth>\nMake workload more manageable\n\u003C\u002Fth>\n\u003Cth>\nImprove collaboration\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nBrazil\n\u003C\u002Ftd>\n\u003Ctd>\n84.61%\n\u003C\u002Ftd>\n\u003Ctd>\n63.71%\n\u003C\u002Ftd>\n\u003Ctd>\n47.08%\n\u003C\u002Ftd>\n\u003Ctd>\n33.93%\n\u003C\u002Ftd>\n\u003Ctd>\n24.49%\n\u003C\u002Ftd>\n\u003Ctd>\n10.34%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nCanada\n\u003C\u002Ftd>\n\u003Ctd>\n80.62%\n\u003C\u002Ftd>\n\u003Ctd>\n62.41%\n\u003C\u002Ftd>\n\u003Ctd>\n61.24%\n\u003C\u002Ftd>\n\u003Ctd>\n26.65%\n\u003C\u002Ftd>\n\u003Ctd>\n22.14%\n\u003C\u002Ftd>\n\u003Ctd>\n6.18%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nFrance\n\u003C\u002Ftd>\n\u003Ctd>\n80.55%\n\u003C\u002Ftd>\n\u003Ctd>\n53%\n\u003C\u002Ftd>\n\u003Ctd>\n56.64%\n\u003C\u002Ftd>\n\u003Ctd>\n25.27%\n\u003C\u002Ftd>\n\u003Ctd>\n16%\n\u003C\u002Ftd>\n\u003Ctd>\n4%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nGermany\n\u003C\u002Ftd>\n\u003Ctd>\n81.4%\n\u003C\u002Ftd>\n\u003Ctd>\n57.37%\n\u003C\u002Ftd>\n\u003Ctd>\n60.39%\n\u003C\u002Ftd>\n\u003Ctd>\n20.82%\n\u003C\u002Ftd>\n\u003Ctd>\n18.75%\n\u003C\u002Ftd>\n\u003Ctd>\n3.93%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nIndia\n\u003C\u002Ftd>\n\u003Ctd>\n83.81%\n\u003C\u002Ftd>\n\u003Ctd>\n67.25%\n\u003C\u002Ftd>\n\u003Ctd>\n59.01%\n\u003C\u002Ftd>\n\u003Ctd>\n43.36%\n\u003C\u002Ftd>\n\u003Ctd>\n43.58%\n\u003C\u002Ftd>\n\u003Ctd>\n15.94%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nNetherlands\n\u003C\u002Ftd>\n\u003Ctd>\n78.92%\n\u003C\u002Ftd>\n\u003Ctd>\n51.05%\n\u003C\u002Ftd>\n\u003Ctd>\n55.39%\n\u003C\u002Ftd>\n\u003Ctd>\n19.79%\n\u003C\u002Ftd>\n\u003Ctd>\n17.33%\n\u003C\u002Ftd>\n\u003Ctd>\n3.63%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nPoland\n\u003C\u002Ftd>\n\u003Ctd>\n78.48%\n\u003C\u002Ftd>\n\u003Ctd>\n59.64%\n\u003C\u002Ftd>\n\u003Ctd>\n56.1%\n\u003C\u002Ftd>\n\u003Ctd>\n26.02%\n\u003C\u002Ftd>\n\u003Ctd>\n19.7%\n\u003C\u002Ftd>\n\u003Ctd>\n4.39%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUkraine\n\u003C\u002Ftd>\n\u003Ctd>\n82.79%\n\u003C\u002Ftd>\n\u003Ctd>\n67.68%\n\u003C\u002Ftd>\n\u003Ctd>\n48.95%\n\u003C\u002Ftd>\n\u003Ctd>\n32.63%\n\u003C\u002Ftd>\n\u003Ctd>\n22.11%\n\u003C\u002Ftd>\n\u003Ctd>\n9.37%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUnited Kingdom of Great Britain and Northern Ireland\n\u003C\u002Ftd>\n\u003Ctd>\n80.97%\n\u003C\u002Ftd>\n\u003Ctd>\n58.77%\n\u003C\u002Ftd>\n\u003Ctd>\n59.7%\n\u003C\u002Ftd>\n\u003Ctd>\n24.94%\n\u003C\u002Ftd>\n\u003Ctd>\n19.34%\n\u003C\u002Ftd>\n\u003Ctd>\n4.04%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUnited States of America\n\u003C\u002Ftd>\n\u003Ctd>\n80.63%\n\u003C\u002Ftd>\n\u003Ctd>\n63.1%\n\u003C\u002Ftd>\n\u003Ctd>\n63.4%\n\u003C\u002Ftd>\n\u003Ctd>\n28.08%\n\u003C\u002Ftd>\n\u003Ctd>\n23.05%\n\u003C\u002Ftd>\n\u003Ctd>\n5.32%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":663,"_type":48,"children":664,"markDefs":669,"style":56},"a0970e1d3eee",[665],{"_key":666,"_type":52,"marks":667,"text":668},"f481c56ac182",[],"Trust in Accuracy of AI Tools",[],{"_key":671,"_type":48,"children":672,"markDefs":683,"style":101},"d60083e6a01d",[673,676,679],{"_key":674,"_type":52,"marks":675,"text":166},"aba68c2b96d2",[63],{"_key":677,"_type":52,"marks":678,"text":509},"06993984c1e1",[],{"_key":680,"_type":52,"marks":681,"text":682},"fa5d0bbb239c",[174],"How much do you trust the accuracy of the output from AI tools as part of your development workflow?",[],{"_key":685,"_type":48,"children":686,"markDefs":691,"style":185},"65833cac72d9",[687],{"_key":688,"_type":52,"marks":689,"text":690},"e4eb4f7e48a3",[],"Trust: Professionals vs. Learning to Code",[],{"_key":693,"_type":48,"children":694,"markDefs":699,"style":101},"83be55361e53",[695],{"_key":696,"_type":52,"marks":697,"text":698},"3dd25bcfd350",[],"Developers learning to code have a lot less to lose if they misplace their trust in AI tools: this could be why professional developers rate AI tools less trustworthy than those learning to code (41% v. 55%).",[],{"_key":701,"_type":48,"children":702,"markDefs":706,"style":101},"089122e6b187",[703],{"_key":704,"_type":52,"marks":705,"text":108},"e8c11634ab9d",[],[],{"_key":708,"_type":203,"code":709,"markDefs":12},"eef4612298d0","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nTrustworthy\n\u003C\u002Fth>\n\u003Cth>\nTrust neutral\n\u003C\u002Fth>\n\u003Cth>\nNot trustworthy\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nLearning to Code\n\u003C\u002Ftd>\n\u003Ctd>\n54.91%\n\u003C\u002Ftd>\n\u003Ctd>\n24.59%\n\u003C\u002Ftd>\n\u003Ctd>\n20.51%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nProfessional Developers\n\u003C\u002Ftd>\n\u003Ctd>\n41.43%\n\u003C\u002Ftd>\n\u003Ctd>\n27.25%\n\u003C\u002Ftd>\n\u003Ctd>\n31.32%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":711,"_type":48,"children":712,"markDefs":717,"style":185},"b1dacafbecbd",[713],{"_key":714,"_type":52,"marks":715,"text":716},"9c199facbde0",[],"Trust: Top 10 Developer Roles",[],{"_key":719,"_type":48,"children":720,"markDefs":725,"style":101},"855f139d2fe5",[721],{"_key":722,"_type":52,"marks":723,"text":724},"586b5930248d",[],"Context is key: front-end developers rate AI tools most trustworthy and embedded developers rate it least trustworthy.  AI tools are better at assisting with front-end technologies.",[],{"_key":727,"_type":48,"children":728,"markDefs":732,"style":101},"6aadb204e3b0",[729],{"_key":730,"_type":52,"marks":731,"text":108},"7b669ff8ac40",[],[],{"_key":734,"_type":203,"code":735,"markDefs":12},"8c13d84abd62","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nTrustworthy\n\u003C\u002Fth>\n\u003Cth>\nTrust neutral\n\u003C\u002Fth>\n\u003Cth>\nNot trustworthy\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nDeveloper, front-end\n\u003C\u002Ftd>\n\u003Ctd>\n49.49%\n\u003C\u002Ftd>\n\u003Ctd>\n27.47%\n\u003C\u002Ftd>\n\u003Ctd>\n23.05%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, mobile\n\u003C\u002Ftd>\n\u003Ctd>\n46.67%\n\u003C\u002Ftd>\n\u003Ctd>\n29.33%\n\u003C\u002Ftd>\n\u003Ctd>\n24%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nStudent\n\u003C\u002Ftd>\n\u003Ctd>\n45.47%\n\u003C\u002Ftd>\n\u003Ctd>\n22.8%\n\u003C\u002Ftd>\n\u003Ctd>\n31.73%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nData engineer\n\u003C\u002Ftd>\n\u003Ctd>\n45.36%\n\u003C\u002Ftd>\n\u003Ctd>\n25.11%\n\u003C\u002Ftd>\n\u003Ctd>\n29.53%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nEngineering manager\n\u003C\u002Ftd>\n\u003Ctd>\n41.87%\n\u003C\u002Ftd>\n\u003Ctd>\n26.89%\n\u003C\u002Ftd>\n\u003Ctd>\n31.24%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, full-stack\n\u003C\u002Ftd>\n\u003Ctd>\n41.33%\n\u003C\u002Ftd>\n\u003Ctd>\n27.87%\n\u003C\u002Ftd>\n\u003Ctd>\n30.79%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, back-end\n\u003C\u002Ftd>\n\u003Ctd>\n41.26%\n\u003C\u002Ftd>\n\u003Ctd>\n27.31%\n\u003C\u002Ftd>\n\u003Ctd>\n31.43%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, desktop or enterprise applications\n\u003C\u002Ftd>\n\u003Ctd>\n38.16%\n\u003C\u002Ftd>\n\u003Ctd>\n25.77%\n\u003C\u002Ftd>\n\u003Ctd>\n36.07%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nAcademic researcher\n\u003C\u002Ftd>\n\u003Ctd>\n37.19%\n\u003C\u002Ftd>\n\u003Ctd>\n21.42%\n\u003C\u002Ftd>\n\u003Ctd>\n41.39%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, embedded applications or devices\n\u003C\u002Ftd>\n\u003Ctd>\n28.84%\n\u003C\u002Ftd>\n\u003Ctd>\n26.96%\n\u003C\u002Ftd>\n\u003Ctd>\n44.2%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":737,"_type":48,"children":738,"markDefs":743,"style":185},"c6b4bab50f27",[739],{"_key":740,"_type":52,"marks":741,"text":742},"f139005e71e3",[],"Trust: Years of Experience",[],{"_key":745,"_type":48,"children":746,"markDefs":751,"style":101},"83ed1d7494a0",[747],{"_key":748,"_type":52,"marks":749,"text":750},"8275155d4132",[],"Developers with > 10 years experience are likely to be equal in their rating of 'not trustworthy' but there is a spike in trustworthiness for the 20+ years of experience group: most likely this in influenced by people managers that tend to be more positive towards AI tools.",[],{"_key":753,"_type":48,"children":754,"markDefs":758,"style":101},"8d4a1501981b",[755],{"_key":756,"_type":52,"marks":757,"text":108},"578bf5d186f2",[],[],{"_key":760,"_type":203,"code":761,"markDefs":12},"d901b022beb5","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nTrustworthy\n\u003C\u002Fth>\n\u003Cth>\nTrust neutral\n\u003C\u002Fth>\n\u003Cth>\nNot trustworthy\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nLess than 1 year\n\u003C\u002Ftd>\n\u003Ctd>\n45.79%\n\u003C\u002Ftd>\n\u003Ctd>\n24.36%\n\u003C\u002Ftd>\n\u003Ctd>\n29.85%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n1 to 4 years\n\u003C\u002Ftd>\n\u003Ctd>\n43.38%\n\u003C\u002Ftd>\n\u003Ctd>\n27.99%\n\u003C\u002Ftd>\n\u003Ctd>\n28.63%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n5 to 9 years\n\u003C\u002Ftd>\n\u003Ctd>\n41.48%\n\u003C\u002Ftd>\n\u003Ctd>\n27.14%\n\u003C\u002Ftd>\n\u003Ctd>\n31.39%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n10 to 14 years\n\u003C\u002Ftd>\n\u003Ctd>\n39.28%\n\u003C\u002Ftd>\n\u003Ctd>\n26.53%\n\u003C\u002Ftd>\n\u003Ctd>\n34.19%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n15 to 19 years\n\u003C\u002Ftd>\n\u003Ctd>\n37.27%\n\u003C\u002Ftd>\n\u003Ctd>\n28.1%\n\u003C\u002Ftd>\n\u003Ctd>\n34.64%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\n20 + years\n\u003C\u002Ftd>\n\u003Ctd>\n40.44%\n\u003C\u002Ftd>\n\u003Ctd>\n24.65%\n\u003C\u002Ftd>\n\u003Ctd>\n34.91%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":763,"_type":48,"children":764,"markDefs":769,"style":185},"c7cc431b0e92",[765],{"_key":766,"_type":52,"marks":767,"text":768},"ebb8c1cffc3c",[],"Trust: IC’s vs. People Managers",[],{"_key":771,"_type":48,"children":772,"markDefs":777,"style":101},"f1bc8bd000e3",[773],{"_key":774,"_type":52,"marks":775,"text":776},"f61f313537f2",[],"People managers are more likely to find AI tools trustworthy than individual contributors (43% v. 40%), but the margin of difference is small.  People managers are more likely to be responsible for disruptions in business caused by a mistake originating from their team, it makes sense that they would remain cautious.",[],{"_key":779,"_type":48,"children":780,"markDefs":784,"style":101},"0a0c04d613a6",[781],{"_key":782,"_type":52,"marks":783,"text":108},"a382ee3bd727",[],[],{"_key":786,"_type":203,"code":787,"markDefs":12},"71671e2ba7eb","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nTrustworthy\n\u003C\u002Fth>\n\u003Cth>\nTrust neutral\n\u003C\u002Fth>\n\u003Cth>\nNot trustworthy\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nPeople Managers\n\u003C\u002Ftd>\n\u003Ctd>\n42.46%\n\u003C\u002Ftd>\n\u003Ctd>\n27.87%\n\u003C\u002Ftd>\n\u003Ctd>\n29.66%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nIndividual Contributors\n\u003C\u002Ftd>\n\u003Ctd>\n40.35%\n\u003C\u002Ftd>\n\u003Ctd>\n26.25%\n\u003C\u002Ftd>\n\u003Ctd>\n33.4%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":789,"_type":48,"children":790,"markDefs":795,"style":185},"bd7fb7c8d8e4",[791],{"_key":792,"_type":52,"marks":793,"text":794},"e47483fa5100",[],"Trust: Top 10 Countries",[],{"_key":797,"_type":48,"children":798,"markDefs":803,"style":101},"8cc1360b1402",[799],{"_key":800,"_type":52,"marks":801,"text":802},"14e778430b2a",[],"India, Brazil, and Ukraine rate AI tools the most trustworthy out of all top 10 countries; they are also the top 3 countries using AI tools.",[],{"_key":805,"_type":48,"children":806,"markDefs":810,"style":101},"67c0e1bff84a",[807],{"_key":808,"_type":52,"marks":809,"text":108},"967a1cf3ba36",[],[],{"_key":812,"_type":203,"code":813,"markDefs":12},"58f74aa5969b","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nTrustworthy\n\u003C\u002Fth>\n\u003Cth>\nTrust neutral\n\u003C\u002Fth>\n\u003Cth>\nNot trustworthy\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nIndia\n\u003C\u002Ftd>\n\u003Ctd>\n59.1%\n\u003C\u002Ftd>\n\u003Ctd>\n28.3%\n\u003C\u002Ftd>\n\u003Ctd>\n12.6%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nBrazil\n\u003C\u002Ftd>\n\u003Ctd>\n45.89%\n\u003C\u002Ftd>\n\u003Ctd>\n27.78%\n\u003C\u002Ftd>\n\u003Ctd>\n26.33%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUkraine\n\u003C\u002Ftd>\n\u003Ctd>\n43.6%\n\u003C\u002Ftd>\n\u003Ctd>\n36.25%\n\u003C\u002Ftd>\n\u003Ctd>\n20.15%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUnited States of America\n\u003C\u002Ftd>\n\u003Ctd>\n40.35%\n\u003C\u002Ftd>\n\u003Ctd>\n20.69%\n\u003C\u002Ftd>\n\u003Ctd>\n38.97%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nNetherlands\n\u003C\u002Ftd>\n\u003Ctd>\n38.17%\n\u003C\u002Ftd>\n\u003Ctd>\n25.14%\n\u003C\u002Ftd>\n\u003Ctd>\n36.67%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nUnited Kingdom of Great Britain and Northern Ireland\n\u003C\u002Ftd>\n\u003Ctd>\n38.03%\n\u003C\u002Ftd>\n\u003Ctd>\n21.97%\n\u003C\u002Ftd>\n\u003Ctd>\n40%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nCanada\n\u003C\u002Ftd>\n\u003Ctd>\n37.67%\n\u003C\u002Ftd>\n\u003Ctd>\n23.68%\n\u003C\u002Ftd>\n\u003Ctd>\n38.66%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nFrance\n\u003C\u002Ftd>\n\u003Ctd>\n35.6%\n\u003C\u002Ftd>\n\u003Ctd>\n33.22%\n\u003C\u002Ftd>\n\u003Ctd>\n31.18%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nGermany\n\u003C\u002Ftd>\n\u003Ctd>\n32.82%\n\u003C\u002Ftd>\n\u003Ctd>\n24.28%\n\u003C\u002Ftd>\n\u003Ctd>\n42.9%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nPoland\n\u003C\u002Ftd>\n\u003Ctd>\n29.78%\n\u003C\u002Ftd>\n\u003Ctd>\n29.68%\n\u003C\u002Ftd>\n\u003Ctd>\n40.55%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":815,"_type":48,"children":816,"markDefs":821,"style":56},"3ce6d42d18b9",[817],{"_key":818,"_type":52,"marks":819,"text":820},"c6a9ab032938",[],"\n\nAreas of Development Workflow Most Popular for those Currently Using AI Tools",[],{"_key":823,"_type":48,"children":824,"markDefs":835,"style":101},"642d8424db32",[825,828,831],{"_key":826,"_type":52,"marks":827,"text":166},"241b8a40dc6b",[63],{"_key":829,"_type":52,"marks":830,"text":509},"0dadc12bc76d",[],{"_key":832,"_type":52,"marks":833,"text":834},"832c28185bdd",[174],"Which parts of your development workflow are you currently using AI tools for and which are you interested in using AI tools for over the next year?",[],{"_key":837,"_type":48,"children":838,"markDefs":842,"style":101},"f6a72740c293",[839],{"_key":840,"_type":52,"marks":841,"text":108},"9a063cbe222e",[],[],{"_key":844,"_type":48,"children":845,"markDefs":850,"style":185},"d5060a99d129",[846],{"_key":847,"_type":52,"marks":848,"text":849},"bc41eb69b7ab",[],"Currently Using: Professionals vs. Learning to Code",[],{"_key":852,"_type":48,"children":853,"markDefs":858,"style":101},"ff71fac16795",[854],{"_key":855,"_type":52,"marks":856,"text":857},"6e4b6794324c",[],"For developers currently using AI tools, writing code remains the top benefit similar to last year.  85% of professional developers use them to write code, followed by 69% that use them to search answers.  These two benefits are the focus of time-saving GenAI tooling that seeks to increase productivity.",[],{"_key":860,"_type":48,"children":861,"markDefs":865,"style":101},"772b457fca17",[862],{"_key":863,"_type":52,"marks":864,"text":108},"6e9b87143590",[],[],{"_key":867,"_type":203,"code":868,"markDefs":12},"cbeae819baa3","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nUsage\n\u003C\u002Fth>\n\u003Cth>\nLearning to Code\n\u003C\u002Fth>\n\u003Cth>\nProfessional Developers\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nWriting code\n\u003C\u002Ftd>\n\u003Ctd>\n77.34%\n\u003C\u002Ftd>\n\u003Ctd>\n84.76%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nSearch for answers\n\u003C\u002Ftd>\n\u003Ctd>\n72.81%\n\u003C\u002Ftd>\n\u003Ctd>\n68.92%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDebugging and getting help\n\u003C\u002Ftd>\n\u003Ctd>\n66.98%\n\u003C\u002Ftd>\n\u003Ctd>\n56.74%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDocumenting code\n\u003C\u002Ftd>\n\u003Ctd>\n32.97%\n\u003C\u002Ftd>\n\u003Ctd>\n42.43%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nGenerating content or synthetic data\n\u003C\u002Ftd>\n\u003Ctd>\n33.47%\n\u003C\u002Ftd>\n\u003Ctd>\n36.41%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nLearning about a codebase\n\u003C\u002Ftd>\n\u003Ctd>\n42.08%\n\u003C\u002Ftd>\n\u003Ctd>\n30.36%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nTesting code\n\u003C\u002Ftd>\n\u003Ctd>\n24.3%\n\u003C\u002Ftd>\n\u003Ctd>\n29.65%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nCommitting and reviewing code\n\u003C\u002Ftd>\n\u003Ctd>\n22.61%\n\u003C\u002Ftd>\n\u003Ctd>\n12.96%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nProject planning\n\u003C\u002Ftd>\n\u003Ctd>\n22.31%\n\u003C\u002Ftd>\n\u003Ctd>\n11.31%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nPredictive analytics\n\u003C\u002Ftd>\n\u003Ctd>\n7.52%\n\u003C\u002Ftd>\n\u003Ctd>\n4.9%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeployment and monitoring\n\u003C\u002Ftd>\n\u003Ctd>\n7.12%\n\u003C\u002Ftd>\n\u003Ctd>\n4.32%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":870,"_type":48,"children":871,"markDefs":876,"style":185},"67cf9f774db8",[872],{"_key":873,"_type":52,"marks":874,"text":875},"beb8975a3757",[],"Currently Using: Top 10 Developer Roles",[],{"_key":878,"_type":48,"children":879,"markDefs":884,"style":101},"dfbaab684bdd",[880],{"_key":881,"_type":52,"marks":882,"text":883},"541bd4ef128a",[],"Data engineers and engineering managers are most likely to be using AI tools for writing code if they are currently using them in their workflow, data engineers and desktop developers are most likely to be using them to search for answers, and students and data engineers are most likely to be using them to debug their code.",[],{"_key":886,"_type":48,"children":887,"markDefs":891,"style":101},"548dcfd79da2",[888],{"_key":889,"_type":52,"marks":890,"text":108},"233411433113",[],[],{"_key":893,"_type":203,"code":894,"markDefs":12},"cf3d3bdb199f","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nRole\n\u003C\u002Fth>\n\u003Cth>\nWriting code\n\u003C\u002Fth>\n\u003Cth>\nSearch for answers\n\u003C\u002Fth>\n\u003Cth>\nDebugging and getting help\n\u003C\u002Fth>\n\u003Cth>\nDocumenting code\n\u003C\u002Fth>\n\u003Cth>\nGenerating content or synthetic data\n\u003C\u002Fth>\n\u003Cth>\nLearning about a codebase\n\u003C\u002Fth>\n\u003Cth>\nTesting code\n\u003C\u002Fth>\n\u003Cth>\nCommitting and reviewing code\n\u003C\u002Fth>\n\u003Cth>\nProject planning\n\u003C\u002Fth>\n\u003Cth>\nPredictive analytics\n\u003C\u002Fth>\n\u003Cth>\nDeployment and monitoring\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nAcademic researcher\n\u003C\u002Ftd>\n\u003Ctd>\n84.78%\n\u003C\u002Ftd>\n\u003Ctd>\n65.45%\n\u003C\u002Ftd>\n\u003Ctd>\n59.06%\n\u003C\u002Ftd>\n\u003Ctd>\n44.29%\n\u003C\u002Ftd>\n\u003Ctd>\n34.09%\n\u003C\u002Ftd>\n\u003Ctd>\n35.01%\n\u003C\u002Ftd>\n\u003Ctd>\n23.44%\n\u003C\u002Ftd>\n\u003Ctd>\n12.94%\n\u003C\u002Ftd>\n\u003Ctd>\n14%\n\u003C\u002Ftd>\n\u003Ctd>\n9.28%\n\u003C\u002Ftd>\n\u003Ctd>\n5.63%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nData engineer\n\u003C\u002Ftd>\n\u003Ctd>\n87.74%\n\u003C\u002Ftd>\n\u003Ctd>\n72.17%\n\u003C\u002Ftd>\n\u003Ctd>\n66.04%\n\u003C\u002Ftd>\n\u003Ctd>\n46.38%\n\u003C\u002Ftd>\n\u003Ctd>\n37.11%\n\u003C\u002Ftd>\n\u003Ctd>\n29.4%\n\u003C\u002Ftd>\n\u003Ctd>\n27.67%\n\u003C\u002Ftd>\n\u003Ctd>\n13.05%\n\u003C\u002Ftd>\n\u003Ctd>\n11.16%\n\u003C\u002Ftd>\n\u003Ctd>\n5.35%\n\u003C\u002Ftd>\n\u003Ctd>\n4.25%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, back-end\n\u003C\u002Ftd>\n\u003Ctd>\n84.26%\n\u003C\u002Ftd>\n\u003Ctd>\n68.9%\n\u003C\u002Ftd>\n\u003Ctd>\n51.29%\n\u003C\u002Ftd>\n\u003Ctd>\n42.75%\n\u003C\u002Ftd>\n\u003Ctd>\n33.17%\n\u003C\u002Ftd>\n\u003Ctd>\n29.09%\n\u003C\u002Ftd>\n\u003Ctd>\n31.93%\n\u003C\u002Ftd>\n\u003Ctd>\n12.14%\n\u003C\u002Ftd>\n\u003Ctd>\n9.23%\n\u003C\u002Ftd>\n\u003Ctd>\n4%\n\u003C\u002Ftd>\n\u003Ctd>\n4.03%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, desktop or enterprise applications\n\u003C\u002Ftd>\n\u003Ctd>\n83.56%\n\u003C\u002Ftd>\n\u003Ctd>\n70.44%\n\u003C\u002Ftd>\n\u003Ctd>\n49.52%\n\u003C\u002Ftd>\n\u003Ctd>\n36.98%\n\u003C\u002Ftd>\n\u003Ctd>\n27.57%\n\u003C\u002Ftd>\n\u003Ctd>\n30.51%\n\u003C\u002Ftd>\n\u003Ctd>\n20.34%\n\u003C\u002Ftd>\n\u003Ctd>\n12.17%\n\u003C\u002Ftd>\n\u003Ctd>\n8.08%\n\u003C\u002Ftd>\n\u003Ctd>\n3.52%\n\u003C\u002Ftd>\n\u003Ctd>\n2.95%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, embedded applications or devices\n\u003C\u002Ftd>\n\u003Ctd>\n76.82%\n\u003C\u002Ftd>\n\u003Ctd>\n69.24%\n\u003C\u002Ftd>\n\u003Ctd>\n54.09%\n\u003C\u002Ftd>\n\u003Ctd>\n39.55%\n\u003C\u002Ftd>\n\u003Ctd>\n25.61%\n\u003C\u002Ftd>\n\u003Ctd>\n28.33%\n\u003C\u002Ftd>\n\u003Ctd>\n18.94%\n\u003C\u002Ftd>\n\u003Ctd>\n8.33%\n\u003C\u002Ftd>\n\u003Ctd>\n6.52%\n\u003C\u002Ftd>\n\u003Ctd>\n2.88%\n\u003C\u002Ftd>\n\u003Ctd>\n1.52%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, front-end\n\u003C\u002Ftd>\n\u003Ctd>\n85.16%\n\u003C\u002Ftd>\n\u003Ctd>\n69.37%\n\u003C\u002Ftd>\n\u003Ctd>\n62.68%\n\u003C\u002Ftd>\n\u003Ctd>\n40.15%\n\u003C\u002Ftd>\n\u003Ctd>\n40.2%\n\u003C\u002Ftd>\n\u003Ctd>\n30.49%\n\u003C\u002Ftd>\n\u003Ctd>\n33.46%\n\u003C\u002Ftd>\n\u003Ctd>\n14.47%\n\u003C\u002Ftd>\n\u003Ctd>\n10.23%\n\u003C\u002Ftd>\n\u003Ctd>\n3.53%\n\u003C\u002Ftd>\n\u003Ctd>\n3.68%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, full-stack\n\u003C\u002Ftd>\n\u003Ctd>\n85.43%\n\u003C\u002Ftd>\n\u003Ctd>\n68.51%\n\u003C\u002Ftd>\n\u003Ctd>\n58.38%\n\u003C\u002Ftd>\n\u003Ctd>\n40.74%\n\u003C\u002Ftd>\n\u003Ctd>\n37.84%\n\u003C\u002Ftd>\n\u003Ctd>\n30%\n\u003C\u002Ftd>\n\u003Ctd>\n29.14%\n\u003C\u002Ftd>\n\u003Ctd>\n12.87%\n\u003C\u002Ftd>\n\u003Ctd>\n12.1%\n\u003C\u002Ftd>\n\u003Ctd>\n4.3%\n\u003C\u002Ftd>\n\u003Ctd>\n4.02%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, mobile\n\u003C\u002Ftd>\n\u003Ctd>\n84.42%\n\u003C\u002Ftd>\n\u003Ctd>\n68.51%\n\u003C\u002Ftd>\n\u003Ctd>\n54.1%\n\u003C\u002Ftd>\n\u003Ctd>\n37.27%\n\u003C\u002Ftd>\n\u003Ctd>\n35.01%\n\u003C\u002Ftd>\n\u003Ctd>\n32.16%\n\u003C\u002Ftd>\n\u003Ctd>\n26.63%\n\u003C\u002Ftd>\n\u003Ctd>\n14.99%\n\u003C\u002Ftd>\n\u003Ctd>\n13.07%\n\u003C\u002Ftd>\n\u003Ctd>\n6.03%\n\u003C\u002Ftd>\n\u003Ctd>\n5.19%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nEngineering manager\n\u003C\u002Ftd>\n\u003Ctd>\n86.23%\n\u003C\u002Ftd>\n\u003Ctd>\n67.25%\n\u003C\u002Ftd>\n\u003Ctd>\n49.47%\n\u003C\u002Ftd>\n\u003Ctd>\n43.18%\n\u003C\u002Ftd>\n\u003Ctd>\n35.96%\n\u003C\u002Ftd>\n\u003Ctd>\n29.14%\n\u003C\u002Ftd>\n\u003Ctd>\n33.16%\n\u003C\u002Ftd>\n\u003Ctd>\n12.83%\n\u003C\u002Ftd>\n\u003Ctd>\n9.49%\n\u003C\u002Ftd>\n\u003Ctd>\n6.02%\n\u003C\u002Ftd>\n\u003Ctd>\n4.55%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nStudent\n\u003C\u002Ftd>\n\u003Ctd>\n80.23%\n\u003C\u002Ftd>\n\u003Ctd>\n69.2%\n\u003C\u002Ftd>\n\u003Ctd>\n68.02%\n\u003C\u002Ftd>\n\u003Ctd>\n37.05%\n\u003C\u002Ftd>\n\u003Ctd>\n33.84%\n\u003C\u002Ftd>\n\u003Ctd>\n33.05%\n\u003C\u002Ftd>\n\u003Ctd>\n18.52%\n\u003C\u002Ftd>\n\u003Ctd>\n15.52%\n\u003C\u002Ftd>\n\u003Ctd>\n17.73%\n\u003C\u002Ftd>\n\u003Ctd>\n5.07%\n\u003C\u002Ftd>\n\u003Ctd>\n3.9%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":896,"_type":48,"children":897,"markDefs":902,"style":185},"3d259c75da29",[898],{"_key":899,"_type":52,"marks":900,"text":901},"4b9398a909cc",[],"Currently Using: Years of Experience",[],{"_key":904,"_type":48,"children":905,"markDefs":910,"style":101},"59072c593452",[906],{"_key":907,"_type":52,"marks":908,"text":909},"14fbd75cec99",[],"Developers with more experience are more likely to be using AI tools to write code, less experienced developers are more likely to be using AI to committing and reviewing code and project planning.  Later-career developers are more adept at knowing what they don't know, and can utilize AI tools more confidently, while those new to their role have yet to learn from mistakes.",[],{"_key":912,"_type":48,"children":913,"markDefs":917,"style":101},"307c32ebc9e6",[914],{"_key":915,"_type":52,"marks":916,"text":108},"b8531f4a4eb4",[],[],{"_key":919,"_type":203,"code":920,"markDefs":12},"397ef83d60b5","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nUsage\n\u003C\u002Fth>\n\u003Cth>\nLess than 1 year\n\u003C\u002Fth>\n\u003Cth>\n1 to 4 years\n\u003C\u002Fth>\n\u003Cth>\n5 to 9 years\n\u003C\u002Fth>\n\u003Cth>\n10 to 14 years\n\u003C\u002Fth>\n\u003Cth>\n15 to 19 years\n\u003C\u002Fth>\n\u003Cth>\n20 + years\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nWriting code\n\u003C\u002Ftd>\n\u003Ctd>\n81.94%\n\u003C\u002Ftd>\n\u003Ctd>\n82.81%\n\u003C\u002Ftd>\n\u003Ctd>\n85.01%\n\u003C\u002Ftd>\n\u003Ctd>\n85.84%\n\u003C\u002Ftd>\n\u003Ctd>\n86.9%\n\u003C\u002Ftd>\n\u003Ctd>\n88.05%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nSearch for answers\n\u003C\u002Ftd>\n\u003Ctd>\n73.13%\n\u003C\u002Ftd>\n\u003Ctd>\n71.68%\n\u003C\u002Ftd>\n\u003Ctd>\n68.18%\n\u003C\u002Ftd>\n\u003Ctd>\n65.23%\n\u003C\u002Ftd>\n\u003Ctd>\n65.4%\n\u003C\u002Ftd>\n\u003Ctd>\n70.42%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDebugging and getting help\n\u003C\u002Ftd>\n\u003Ctd>\n69.7%\n\u003C\u002Ftd>\n\u003Ctd>\n65.02%\n\u003C\u002Ftd>\n\u003Ctd>\n57.54%\n\u003C\u002Ftd>\n\u003Ctd>\n50.86%\n\u003C\u002Ftd>\n\u003Ctd>\n47.74%\n\u003C\u002Ftd>\n\u003Ctd>\n47.27%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDocumenting code\n\u003C\u002Ftd>\n\u003Ctd>\n39.28%\n\u003C\u002Ftd>\n\u003Ctd>\n43.12%\n\u003C\u002Ftd>\n\u003Ctd>\n43.55%\n\u003C\u002Ftd>\n\u003Ctd>\n43.16%\n\u003C\u002Ftd>\n\u003Ctd>\n41.03%\n\u003C\u002Ftd>\n\u003Ctd>\n38.48%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nGenerating content or synthetic data\n\u003C\u002Ftd>\n\u003Ctd>\n39.78%\n\u003C\u002Ftd>\n\u003Ctd>\n39.07%\n\u003C\u002Ftd>\n\u003Ctd>\n36.34%\n\u003C\u002Ftd>\n\u003Ctd>\n35.03%\n\u003C\u002Ftd>\n\u003Ctd>\n32.74%\n\u003C\u002Ftd>\n\u003Ctd>\n30.4%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nLearning about a codebase\n\u003C\u002Ftd>\n\u003Ctd>\n38.23%\n\u003C\u002Ftd>\n\u003Ctd>\n32.86%\n\u003C\u002Ftd>\n\u003Ctd>\n28.54%\n\u003C\u002Ftd>\n\u003Ctd>\n28.14%\n\u003C\u002Ftd>\n\u003Ctd>\n28.78%\n\u003C\u002Ftd>\n\u003Ctd>\n31.12%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nTesting code\n\u003C\u002Ftd>\n\u003Ctd>\n22.38%\n\u003C\u002Ftd>\n\u003Ctd>\n26.34%\n\u003C\u002Ftd>\n\u003Ctd>\n31.88%\n\u003C\u002Ftd>\n\u003Ctd>\n31.65%\n\u003C\u002Ftd>\n\u003Ctd>\n29.1%\n\u003C\u002Ftd>\n\u003Ctd>\n28.3%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nCommitting and reviewing code\n\u003C\u002Ftd>\n\u003Ctd>\n16.12%\n\u003C\u002Ftd>\n\u003Ctd>\n14.28%\n\u003C\u002Ftd>\n\u003Ctd>\n12.46%\n\u003C\u002Ftd>\n\u003Ctd>\n11.78%\n\u003C\u002Ftd>\n\u003Ctd>\n10.83%\n\u003C\u002Ftd>\n\u003Ctd>\n11.51%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nProject planning\n\u003C\u002Ftd>\n\u003Ctd>\n19.67%\n\u003C\u002Ftd>\n\u003Ctd>\n14.8%\n\u003C\u002Ftd>\n\u003Ctd>\n10.89%\n\u003C\u002Ftd>\n\u003Ctd>\n9.28%\n\u003C\u002Ftd>\n\u003Ctd>\n6.99%\n\u003C\u002Ftd>\n\u003Ctd>\n6.46%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nPredictive analytics\n\u003C\u002Ftd>\n\u003Ctd>\n6.65%\n\u003C\u002Ftd>\n\u003Ctd>\n5.66%\n\u003C\u002Ftd>\n\u003Ctd>\n5.02%\n\u003C\u002Ftd>\n\u003Ctd>\n4.34%\n\u003C\u002Ftd>\n\u003Ctd>\n4.12%\n\u003C\u002Ftd>\n\u003Ctd>\n4.64%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeployment and monitoring\n\u003C\u002Ftd>\n\u003Ctd>\n5.65%\n\u003C\u002Ftd>\n\u003Ctd>\n5.19%\n\u003C\u002Ftd>\n\u003Ctd>\n4.26%\n\u003C\u002Ftd>\n\u003Ctd>\n3.68%\n\u003C\u002Ftd>\n\u003Ctd>\n3.03%\n\u003C\u002Ftd>\n\u003Ctd>\n3.13%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":922,"_type":48,"children":923,"markDefs":927,"style":101},"4e569b6b03f2",[924],{"_key":925,"_type":52,"marks":926,"text":108},"c61e017f2f15",[],[],{"_key":929,"_type":48,"children":930,"markDefs":935,"style":56},"7f42e1a4a1d8",[931],{"_key":932,"_type":52,"marks":933,"text":934},"8f62ae2e4968",[],"Areas of Development Workflow Most Popular for those Interested in Using AI Tools",[],{"_key":937,"_type":48,"children":938,"markDefs":948,"style":101},"988fac6b5594",[939,942,945],{"_key":940,"_type":52,"marks":941,"text":166},"b90e06980379",[63],{"_key":943,"_type":52,"marks":944,"text":509},"bd92b3358018",[],{"_key":946,"_type":52,"marks":947,"text":834},"e1fbb7d82ef9",[174],[],{"_key":950,"_type":48,"children":951,"markDefs":956,"style":185},"24e1ea6169e8",[952],{"_key":953,"_type":52,"marks":954,"text":955},"2dd14a15bab8",[],"Interested in Using: Professionals vs. Learning to Code",[],{"_key":958,"_type":48,"children":959,"markDefs":964,"style":101},"c22baad981b6",[960],{"_key":961,"_type":52,"marks":962,"text":963},"75aed5ef4c1a",[],"Having the luxury of time is hard to find for busy developers.  If you are learning to code, you may have some more time available to learn and these developers want to test code and document code with AI, while professionals would also like to spend time learning how to test code with AI but also would rather learn about committing and reviewing code with AI tools, as well as using AI tools to learn about codebases.",[],{"_key":966,"_type":48,"children":967,"markDefs":971,"style":101},"9918694a69c6",[968],{"_key":969,"_type":52,"marks":970,"text":108},"521666409b4c",[],[],{"_key":973,"_type":203,"code":974,"markDefs":12},"38876eeb053f","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nUsage\n\u003C\u002Fth>\n\u003Cth>\nLearning to Code\n\u003C\u002Fth>\n\u003Cth>\nProfessional Developers\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nWriting code\n\u003C\u002Ftd>\n\u003Ctd>\n14.54%\n\u003C\u002Ftd>\n\u003Ctd>\n10.36%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nSearch for answers\n\u003C\u002Ftd>\n\u003Ctd>\n19.44%\n\u003C\u002Ftd>\n\u003Ctd>\n21.01%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDebugging and getting help\n\u003C\u002Ftd>\n\u003Ctd>\n22.75%\n\u003C\u002Ftd>\n\u003Ctd>\n31.62%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDocumenting code\n\u003C\u002Ftd>\n\u003Ctd>\n47.28%\n\u003C\u002Ftd>\n\u003Ctd>\n44.48%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nGenerating content or synthetic data\n\u003C\u002Ftd>\n\u003Ctd>\n36.11%\n\u003C\u002Ftd>\n\u003Ctd>\n39.1%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nLearning about a codebase\n\u003C\u002Ftd>\n\u003Ctd>\n41.9%\n\u003C\u002Ftd>\n\u003Ctd>\n48.82%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nTesting code\n\u003C\u002Ftd>\n\u003Ctd>\n52.54%\n\u003C\u002Ftd>\n\u003Ctd>\n54.14%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nCommitting and reviewing code\n\u003C\u002Ftd>\n\u003Ctd>\n41.02%\n\u003C\u002Ftd>\n\u003Ctd>\n49.03%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nProject planning\n\u003C\u002Ftd>\n\u003Ctd>\n45.04%\n\u003C\u002Ftd>\n\u003Ctd>\n36.26%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nPredictive analytics\n\u003C\u002Ftd>\n\u003Ctd>\n42.91%\n\u003C\u002Ftd>\n\u003Ctd>\n47.83%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeployment and monitoring\n\u003C\u002Ftd>\n\u003Ctd>\n43.26%\n\u003C\u002Ftd>\n\u003Ctd>\n47.74%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":976,"_type":48,"children":977,"markDefs":982,"style":185},"3a3183c8a926",[978],{"_key":979,"_type":52,"marks":980,"text":981},"01f5e3a8355e",[],"Interested in Using: Top 10 Developer Roles",[],{"_key":984,"_type":48,"children":985,"markDefs":990,"style":101},"2dbb33e6e6ce",[986],{"_key":987,"_type":52,"marks":988,"text":989},"e3cb9a542cae",[],"Testing code is a top reason to get started with AI tools for those interested in using them: engineering managers and embedded developers are the top roles interested in testing code with AI.  Learning about a codebase follows as another popular option, and moreso for data engineers and embedded developers.  ",[],{"_key":992,"_type":48,"children":993,"markDefs":997,"style":101},"463fc746c31f",[994],{"_key":995,"_type":52,"marks":996,"text":108},"fe4b2f4a4232",[],[],{"_key":999,"_type":203,"code":1000,"markDefs":12},"985659a18f7c","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nRole\n\u003C\u002Fth>\n\u003Cth>\nWriting code\n\u003C\u002Fth>\n\u003Cth>\nSearch for answers\n\u003C\u002Fth>\n\u003Cth>\nDebugging and getting help\n\u003C\u002Fth>\n\u003Cth>\nDocumenting code\n\u003C\u002Fth>\n\u003Cth>\nGenerating content or synthetic data\n\u003C\u002Fth>\n\u003Cth>\nLearning about a codebase\n\u003C\u002Fth>\n\u003Cth>\nTesting code\n\u003C\u002Fth>\n\u003Cth>\nCommitting and reviewing code\n\u003C\u002Fth>\n\u003Cth>\nProject planning\n\u003C\u002Fth>\n\u003Cth>\nPredictive analytics\n\u003C\u002Fth>\n\u003Cth>\nDeployment and monitoring\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nAcademic researcher\n\u003C\u002Ftd>\n\u003Ctd>\n9.13%\n\u003C\u002Ftd>\n\u003Ctd>\n18.57%\n\u003C\u002Ftd>\n\u003Ctd>\n26.94%\n\u003C\u002Ftd>\n\u003Ctd>\n35.92%\n\u003C\u002Ftd>\n\u003Ctd>\n30.29%\n\u003C\u002Ftd>\n\u003Ctd>\n36.83%\n\u003C\u002Ftd>\n\u003Ctd>\n46.27%\n\u003C\u002Ftd>\n\u003Ctd>\n36.53%\n\u003C\u002Ftd>\n\u003Ctd>\n27.4%\n\u003C\u002Ftd>\n\u003Ctd>\n27.7%\n\u003C\u002Ftd>\n\u003Ctd>\n32.27%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nData engineer\n\u003C\u002Ftd>\n\u003Ctd>\n8.49%\n\u003C\u002Ftd>\n\u003Ctd>\n17.45%\n\u003C\u002Ftd>\n\u003Ctd>\n22.8%\n\u003C\u002Ftd>\n\u003Ctd>\n39.94%\n\u003C\u002Ftd>\n\u003Ctd>\n37.89%\n\u003C\u002Ftd>\n\u003Ctd>\n46.54%\n\u003C\u002Ftd>\n\u003Ctd>\n52.99%\n\u003C\u002Ftd>\n\u003Ctd>\n43.08%\n\u003C\u002Ftd>\n\u003Ctd>\n34.43%\n\u003C\u002Ftd>\n\u003Ctd>\n47.17%\n\u003C\u002Ftd>\n\u003Ctd>\n44.65%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, back-end\n\u003C\u002Ftd>\n\u003Ctd>\n8.99%\n\u003C\u002Ftd>\n\u003Ctd>\n18.08%\n\u003C\u002Ftd>\n\u003Ctd>\n30.44%\n\u003C\u002Ftd>\n\u003Ctd>\n37.57%\n\u003C\u002Ftd>\n\u003Ctd>\n35.25%\n\u003C\u002Ftd>\n\u003Ctd>\n43.58%\n\u003C\u002Ftd>\n\u003Ctd>\n44.21%\n\u003C\u002Ftd>\n\u003Ctd>\n42.67%\n\u003C\u002Ftd>\n\u003Ctd>\n29.79%\n\u003C\u002Ftd>\n\u003Ctd>\n40.13%\n\u003C\u002Ftd>\n\u003Ctd>\n40.7%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, desktop or enterprise applications\n\u003C\u002Ftd>\n\u003Ctd>\n11.22%\n\u003C\u002Ftd>\n\u003Ctd>\n17.21%\n\u003C\u002Ftd>\n\u003Ctd>\n31.08%\n\u003C\u002Ftd>\n\u003Ctd>\n39.45%\n\u003C\u002Ftd>\n\u003Ctd>\n38.78%\n\u003C\u002Ftd>\n\u003Ctd>\n43.44%\n\u003C\u002Ftd>\n\u003Ctd>\n52.57%\n\u003C\u002Ftd>\n\u003Ctd>\n41.63%\n\u003C\u002Ftd>\n\u003Ctd>\n28.99%\n\u003C\u002Ftd>\n\u003Ctd>\n38.88%\n\u003C\u002Ftd>\n\u003Ctd>\n36.41%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, embedded applications or devices\n\u003C\u002Ftd>\n\u003Ctd>\n13.18%\n\u003C\u002Ftd>\n\u003Ctd>\n19.39%\n\u003C\u002Ftd>\n\u003Ctd>\n31.67%\n\u003C\u002Ftd>\n\u003Ctd>\n41.67%\n\u003C\u002Ftd>\n\u003Ctd>\n37.42%\n\u003C\u002Ftd>\n\u003Ctd>\n45.76%\n\u003C\u002Ftd>\n\u003Ctd>\n53.64%\n\u003C\u002Ftd>\n\u003Ctd>\n40.76%\n\u003C\u002Ftd>\n\u003Ctd>\n27.88%\n\u003C\u002Ftd>\n\u003Ctd>\n35.15%\n\u003C\u002Ftd>\n\u003Ctd>\n34.85%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, front-end\n\u003C\u002Ftd>\n\u003Ctd>\n10.08%\n\u003C\u002Ftd>\n\u003Ctd>\n17.34%\n\u003C\u002Ftd>\n\u003Ctd>\n25.07%\n\u003C\u002Ftd>\n\u003Ctd>\n40.39%\n\u003C\u002Ftd>\n\u003Ctd>\n28.46%\n\u003C\u002Ftd>\n\u003Ctd>\n43.12%\n\u003C\u002Ftd>\n\u003Ctd>\n46.18%\n\u003C\u002Ftd>\n\u003Ctd>\n44.3%\n\u003C\u002Ftd>\n\u003Ctd>\n36.66%\n\u003C\u002Ftd>\n\u003Ctd>\n40.9%\n\u003C\u002Ftd>\n\u003Ctd>\n43.12%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, full-stack\n\u003C\u002Ftd>\n\u003Ctd>\n8.37%\n\u003C\u002Ftd>\n\u003Ctd>\n18.59%\n\u003C\u002Ftd>\n\u003Ctd>\n26.19%\n\u003C\u002Ftd>\n\u003Ctd>\n40.09%\n\u003C\u002Ftd>\n\u003Ctd>\n33.59%\n\u003C\u002Ftd>\n\u003Ctd>\n41.84%\n\u003C\u002Ftd>\n\u003Ctd>\n47.94%\n\u003C\u002Ftd>\n\u003Ctd>\n42.33%\n\u003C\u002Ftd>\n\u003Ctd>\n32.17%\n\u003C\u002Ftd>\n\u003Ctd>\n42.58%\n\u003C\u002Ftd>\n\u003Ctd>\n42.5%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, mobile\n\u003C\u002Ftd>\n\u003Ctd>\n11.73%\n\u003C\u002Ftd>\n\u003Ctd>\n18.84%\n\u003C\u002Ftd>\n\u003Ctd>\n29.48%\n\u003C\u002Ftd>\n\u003Ctd>\n42.71%\n\u003C\u002Ftd>\n\u003Ctd>\n32.24%\n\u003C\u002Ftd>\n\u003Ctd>\n40.45%\n\u003C\u002Ftd>\n\u003Ctd>\n50%\n\u003C\u002Ftd>\n\u003Ctd>\n44.97%\n\u003C\u002Ftd>\n\u003Ctd>\n34.34%\n\u003C\u002Ftd>\n\u003Ctd>\n43.3%\n\u003C\u002Ftd>\n\u003Ctd>\n40.87%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nEngineering manager\n\u003C\u002Ftd>\n\u003Ctd>\n10.43%\n\u003C\u002Ftd>\n\u003Ctd>\n22.46%\n\u003C\u002Ftd>\n\u003Ctd>\n38.24%\n\u003C\u002Ftd>\n\u003Ctd>\n46.79%\n\u003C\u002Ftd>\n\u003Ctd>\n40.24%\n\u003C\u002Ftd>\n\u003Ctd>\n51.47%\n\u003C\u002Ftd>\n\u003Ctd>\n54.14%\n\u003C\u002Ftd>\n\u003Ctd>\n53.07%\n\u003C\u002Ftd>\n\u003Ctd>\n43.32%\n\u003C\u002Ftd>\n\u003Ctd>\n53.34%\n\u003C\u002Ftd>\n\u003Ctd>\n53.61%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nStudent\n\u003C\u002Ftd>\n\u003Ctd>\n8.11%\n\u003C\u002Ftd>\n\u003Ctd>\n17.25%\n\u003C\u002Ftd>\n\u003Ctd>\n17.9%\n\u003C\u002Ftd>\n\u003Ctd>\n39.15%\n\u003C\u002Ftd>\n\u003Ctd>\n31.84%\n\u003C\u002Ftd>\n\u003Ctd>\n37.91%\n\u003C\u002Ftd>\n\u003Ctd>\n44.36%\n\u003C\u002Ftd>\n\u003Ctd>\n32.53%\n\u003C\u002Ftd>\n\u003Ctd>\n34.12%\n\u003C\u002Ftd>\n\u003Ctd>\n32.6%\n\u003C\u002Ftd>\n\u003Ctd>\n31.42%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":1002,"_type":48,"children":1003,"markDefs":1008,"style":185},"5fbdc9f6a4a9",[1004],{"_key":1005,"_type":52,"marks":1006,"text":1007},"f3343e3e923b",[],"Interested in Using: Years of Experience",[],{"_key":1010,"_type":48,"children":1011,"markDefs":1016,"style":101},"ac40deb00f4d",[1012],{"_key":1013,"_type":52,"marks":1014,"text":1015},"1eacedb6d595",[],"Seasoned developers are more interested in testing code or committing code with AI tools than their less experienced peers.  Again, the logic here is that the additional confidence in the development workflow and knowing where mistakes typically happen can bolster the desire to look into these reasons to use AI for efficiency.  Learning about a codebase has a very consistent rate of interest among those with more than 5 and less than 20 years of experience; this experience-level may have the most to learn from codebases.",[],{"_key":1018,"_type":48,"children":1019,"markDefs":1023,"style":101},"6444bd7b51ae",[1020],{"_key":1021,"_type":52,"marks":1022,"text":108},"f3aac0a288d0",[],[],{"_key":1025,"_type":203,"code":1026,"markDefs":12},"2f19bdc782a0","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nUsage\n\u003C\u002Fth>\n\u003Cth>\nLess than 1 year\n\u003C\u002Fth>\n\u003Cth>\n1 to 4 years\n\u003C\u002Fth>\n\u003Cth>\n5 to 9 years\n\u003C\u002Fth>\n\u003Cth>\n10 to 14 years\n\u003C\u002Fth>\n\u003Cth>\n15 to 19 years\n\u003C\u002Fth>\n\u003Cth>\n20 + years\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nWriting code\n\u003C\u002Ftd>\n\u003Ctd>\n9.47%\n\u003C\u002Ftd>\n\u003Ctd>\n9.66%\n\u003C\u002Ftd>\n\u003Ctd>\n9.22%\n\u003C\u002Ftd>\n\u003Ctd>\n8.53%\n\u003C\u002Ftd>\n\u003Ctd>\n8.73%\n\u003C\u002Ftd>\n\u003Ctd>\n8.49%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nSearch for answers\n\u003C\u002Ftd>\n\u003Ctd>\n14.57%\n\u003C\u002Ftd>\n\u003Ctd>\n15.92%\n\u003C\u002Ftd>\n\u003Ctd>\n19.08%\n\u003C\u002Ftd>\n\u003Ctd>\n21.34%\n\u003C\u002Ftd>\n\u003Ctd>\n21.54%\n\u003C\u002Ftd>\n\u003Ctd>\n18.43%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDebugging and getting help\n\u003C\u002Ftd>\n\u003Ctd>\n17.62%\n\u003C\u002Ftd>\n\u003Ctd>\n20.92%\n\u003C\u002Ftd>\n\u003Ctd>\n27.45%\n\u003C\u002Ftd>\n\u003Ctd>\n32.14%\n\u003C\u002Ftd>\n\u003Ctd>\n36.26%\n\u003C\u002Ftd>\n\u003Ctd>\n36.68%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDocumenting code\n\u003C\u002Ftd>\n\u003Ctd>\n39.34%\n\u003C\u002Ftd>\n\u003Ctd>\n38%\n\u003C\u002Ftd>\n\u003Ctd>\n39.2%\n\u003C\u002Ftd>\n\u003Ctd>\n39.5%\n\u003C\u002Ftd>\n\u003Ctd>\n40.18%\n\u003C\u002Ftd>\n\u003Ctd>\n41.55%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nGenerating content or synthetic data\n\u003C\u002Ftd>\n\u003Ctd>\n29.2%\n\u003C\u002Ftd>\n\u003Ctd>\n30.43%\n\u003C\u002Ftd>\n\u003Ctd>\n34.35%\n\u003C\u002Ftd>\n\u003Ctd>\n36.61%\n\u003C\u002Ftd>\n\u003Ctd>\n39.05%\n\u003C\u002Ftd>\n\u003Ctd>\n41.32%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nLearning about a codebase\n\u003C\u002Ftd>\n\u003Ctd>\n36.57%\n\u003C\u002Ftd>\n\u003Ctd>\n39.95%\n\u003C\u002Ftd>\n\u003Ctd>\n44.46%\n\u003C\u002Ftd>\n\u003Ctd>\n45.08%\n\u003C\u002Ftd>\n\u003Ctd>\n44.83%\n\u003C\u002Ftd>\n\u003Ctd>\n42.81%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nTesting code\n\u003C\u002Ftd>\n\u003Ctd>\n44.88%\n\u003C\u002Ftd>\n\u003Ctd>\n45.32%\n\u003C\u002Ftd>\n\u003Ctd>\n47.25%\n\u003C\u002Ftd>\n\u003Ctd>\n48.67%\n\u003C\u002Ftd>\n\u003Ctd>\n52.02%\n\u003C\u002Ftd>\n\u003Ctd>\n53.58%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nCommitting and reviewing code\n\u003C\u002Ftd>\n\u003Ctd>\n32.85%\n\u003C\u002Ftd>\n\u003Ctd>\n37.34%\n\u003C\u002Ftd>\n\u003Ctd>\n43.28%\n\u003C\u002Ftd>\n\u003Ctd>\n48.12%\n\u003C\u002Ftd>\n\u003Ctd>\n49.64%\n\u003C\u002Ftd>\n\u003Ctd>\n50.45%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nProject planning\n\u003C\u002Ftd>\n\u003Ctd>\n31.41%\n\u003C\u002Ftd>\n\u003Ctd>\n32.53%\n\u003C\u002Ftd>\n\u003Ctd>\n33.68%\n\u003C\u002Ftd>\n\u003Ctd>\n32.27%\n\u003C\u002Ftd>\n\u003Ctd>\n29.71%\n\u003C\u002Ftd>\n\u003Ctd>\n28.86%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nPredictive analytics\n\u003C\u002Ftd>\n\u003Ctd>\n34.24%\n\u003C\u002Ftd>\n\u003Ctd>\n37.74%\n\u003C\u002Ftd>\n\u003Ctd>\n41.99%\n\u003C\u002Ftd>\n\u003Ctd>\n45.47%\n\u003C\u002Ftd>\n\u003Ctd>\n47.45%\n\u003C\u002Ftd>\n\u003Ctd>\n45.81%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeployment and monitoring\n\u003C\u002Ftd>\n\u003Ctd>\n33.74%\n\u003C\u002Ftd>\n\u003Ctd>\n37.68%\n\u003C\u002Ftd>\n\u003Ctd>\n41.92%\n\u003C\u002Ftd>\n\u003Ctd>\n45.15%\n\u003C\u002Ftd>\n\u003Ctd>\n47.94%\n\u003C\u002Ftd>\n\u003Ctd>\n46.27%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":1028,"_type":48,"children":1029,"markDefs":1034,"style":56},"ba13308a5497",[1030],{"_key":1031,"_type":52,"marks":1032,"text":1033},"5674a12ff1ce",[],"Perception of AI Tools for Complex Tasks",[],{"_key":1036,"_type":48,"children":1037,"markDefs":1048,"style":101},"a72c8feed32e",[1038,1041,1044],{"_key":1039,"_type":52,"marks":1040,"text":166},"0a8592e99917",[63],{"_key":1042,"_type":52,"marks":1043,"text":509},"e74e9a7e8aa3",[],{"_key":1045,"_type":52,"marks":1046,"text":1047},"bde22860e26c",[174],"How well do the AI tools you use in your development workflow handle complex tasks?",[],{"_key":1050,"_type":48,"children":1051,"markDefs":1055,"style":101},"550248251056",[1052],{"_key":1053,"_type":52,"marks":1054,"text":108},"fb5e05e27747",[],[],{"_key":1057,"_type":48,"children":1058,"markDefs":1063,"style":185},"35553475d4b1",[1059],{"_key":1060,"_type":52,"marks":1061,"text":1062},"6e57d131a4a4",[],"Complex: Professional Developers vs. Learning to Code",[],{"_key":1065,"_type":48,"children":1066,"markDefs":1071,"style":101},"210e8d21d615",[1067],{"_key":1068,"_type":52,"marks":1069,"text":1070},"db3ddb2dec7d",[],"Again, context is key when talking about AI tool efficacy.  Almost half of professional developers (45%) believe AI tools are bad at complex tasks and vice versa for those learning to code (46% believe AI is good at complex task).  ",[],{"_key":1073,"_type":48,"children":1074,"markDefs":1078,"style":101},"fdca2f958b74",[1075],{"_key":1076,"_type":52,"marks":1077,"text":108},"8c5701842a5e",[],[],{"_key":1080,"_type":203,"code":1081,"markDefs":12},"d6f590ccb141","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nComplex good\n\u003C\u002Fth>\n\u003Cth>\nComplex neutral\n\u003C\u002Fth>\n\u003Cth>\nComplex bad\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nLearning to Code\n\u003C\u002Ftd>\n\u003Ctd>\n46.31%\n\u003C\u002Ftd>\n\u003Ctd>\n20.84%\n\u003C\u002Ftd>\n\u003Ctd>\n32.85%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nProfessional Developers\n\u003C\u002Ftd>\n\u003Ctd>\n34.29%\n\u003C\u002Ftd>\n\u003Ctd>\n20.82%\n\u003C\u002Ftd>\n\u003Ctd>\n44.89%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":1083,"_type":48,"children":1084,"markDefs":1089,"style":185},"ff91fe1b07d3",[1085],{"_key":1086,"_type":52,"marks":1087,"text":1088},"ad74824157ac",[],"Complex: Top 10 Developer Roles",[],{"_key":1091,"_type":48,"children":1092,"markDefs":1097,"style":101},"49e1df4785b5",[1093],{"_key":1094,"_type":52,"marks":1095,"text":1096},"dba00669d639",[],"Mobile developers and data engineers are most likely to agree AI tools are good at complex tasks and embedded developers are most likely to believe they are bad at complex tasks.  This reflects similar trends in roles that find AI more or less trustworthy.",[],{"_key":1099,"_type":203,"code":1100,"markDefs":12},"64f901223e98","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nComplex good\n\u003C\u002Fth>\n\u003Cth>\nComplex neutral\n\u003C\u002Fth>\n\u003Cth>\nComplex bad\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nDeveloper, mobile\n\u003C\u002Ftd>\n\u003Ctd>\n41.6%\n\u003C\u002Ftd>\n\u003Ctd>\n21.99%\n\u003C\u002Ftd>\n\u003Ctd>\n36.41%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nData engineer\n\u003C\u002Ftd>\n\u003Ctd>\n38.38%\n\u003C\u002Ftd>\n\u003Ctd>\n20.64%\n\u003C\u002Ftd>\n\u003Ctd>\n40.97%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, front-end\n\u003C\u002Ftd>\n\u003Ctd>\n37.86%\n\u003C\u002Ftd>\n\u003Ctd>\n21.75%\n\u003C\u002Ftd>\n\u003Ctd>\n40.39%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nStudent\n\u003C\u002Ftd>\n\u003Ctd>\n37.24%\n\u003C\u002Ftd>\n\u003Ctd>\n18.26%\n\u003C\u002Ftd>\n\u003Ctd>\n44.5%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nAcademic researcher\n\u003C\u002Ftd>\n\u003Ctd>\n36.17%\n\u003C\u002Ftd>\n\u003Ctd>\n15.59%\n\u003C\u002Ftd>\n\u003Ctd>\n48.23%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, full-stack\n\u003C\u002Ftd>\n\u003Ctd>\n35.08%\n\u003C\u002Ftd>\n\u003Ctd>\n21.38%\n\u003C\u002Ftd>\n\u003Ctd>\n43.53%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, desktop or enterprise applications\n\u003C\u002Ftd>\n\u003Ctd>\n33.88%\n\u003C\u002Ftd>\n\u003Ctd>\n18.13%\n\u003C\u002Ftd>\n\u003Ctd>\n47.98%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, back-end\n\u003C\u002Ftd>\n\u003Ctd>\n32.02%\n\u003C\u002Ftd>\n\u003Ctd>\n21.11%\n\u003C\u002Ftd>\n\u003Ctd>\n46.87%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nEngineering manager\n\u003C\u002Ftd>\n\u003Ctd>\n31.87%\n\u003C\u002Ftd>\n\u003Ctd>\n23.23%\n\u003C\u002Ftd>\n\u003Ctd>\n44.9%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, embedded applications or devices\n\u003C\u002Ftd>\n\u003Ctd>\n23.76%\n\u003C\u002Ftd>\n\u003Ctd>\n17.49%\n\u003C\u002Ftd>\n\u003Ctd>\n58.74%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":1102,"_type":48,"children":1103,"markDefs":1108,"style":56},"3a32439b3f3a",[1104],{"_key":1105,"_type":52,"marks":1106,"text":1107},"17ace7caf2a7",[],"Perception of AI as a Threat to Developer Jobs",[],{"_key":1110,"_type":48,"children":1111,"markDefs":1122,"style":101},"50d76013b3e5",[1112,1115,1118],{"_key":1113,"_type":52,"marks":1114,"text":166},"25cd33cb1e61",[63],{"_key":1116,"_type":52,"marks":1117,"text":509},"22ee9d64ac24",[],{"_key":1119,"_type":52,"marks":1120,"text":1121},"4d701823b08d",[174],"Do you believe AI is a threat to your current job?",[],{"_key":1124,"_type":48,"children":1125,"markDefs":1130,"style":185},"904ad9542101",[1126],{"_key":1127,"_type":52,"marks":1128,"text":1129},"9435b2f7957e",[],"Threat: Professional Developers vs. Learning to Code ",[],{"_key":1132,"_type":48,"children":1133,"markDefs":1138,"style":101},"1aa29d6cf02a",[1134],{"_key":1135,"_type":52,"marks":1136,"text":1137},"1965324dd26c0",[],"A majority of professional developers (70%) are not threatened by the possibility of becoming redundant at work due to AI. Those learning and not yet in their first developer role have seen tech go through tough job cuts in the past two years and have less experience to know how they can contribute value as technology evolves.",[],{"_key":1140,"_type":48,"children":1141,"markDefs":1145,"style":101},"cfedb2468c8f",[1142],{"_key":1143,"_type":52,"marks":1144,"text":108},"c8491aa7f5de",[],[],{"_key":1147,"_type":203,"code":1148,"markDefs":12},"028968d533e2","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nNo\n\u003C\u002Fth>\n\u003Cth>\nI’m not sure\n\u003C\u002Fth>\n\u003Cth>\nYes\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nProfessional Developers\n\u003C\u002Ftd>\n\u003Ctd>\n69.5%\n\u003C\u002Ftd>\n\u003Ctd>\n18.84%\n\u003C\u002Ftd>\n\u003Ctd>\n11.66%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nLearning to Code\n\u003C\u002Ftd>\n\u003Ctd>\n53.26%\n\u003C\u002Ftd>\n\u003Ctd>\n29.94%\n\u003C\u002Ftd>\n\u003Ctd>\n16.8%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":1150,"_type":48,"children":1151,"markDefs":1156,"style":185},"e0f179b37d80",[1152],{"_key":1153,"_type":52,"marks":1154,"text":1155},"8a4a7af6d687",[],"Threat: Top 10 Developer Roles",[],{"_key":1158,"_type":48,"children":1159,"markDefs":1164,"style":101},"6801fc8dc2d6",[1160],{"_key":1161,"_type":52,"marks":1162,"text":1163},"4bd3ce2184090",[],"Academic researchers are the least likely to perceive AI as a threat to their job, followed by embedded developers and engineering managers. These roles all deal with complex processes (managing developers may be more nuanced than complex) and at least embedded developers and engineering managers also were most likely of all the top 10 roles to rate AI bad at complex code.",[],{"_key":1166,"_type":48,"children":1167,"markDefs":1171,"style":101},"8636c8c376f4",[1168],{"_key":1169,"_type":52,"marks":1170,"text":108},"2a6e94375796",[],[],{"_key":1173,"_type":203,"code":1174,"markDefs":12},"11690c15b384","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nNo\n\u003C\u002Fth>\n\u003Cth>\nI’m not sure\n\u003C\u002Fth>\n\u003Cth>\nYes\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nAcademic researcher\n\u003C\u002Ftd>\n\u003Ctd>\n78.1%\n\u003C\u002Ftd>\n\u003Ctd>\n12.41%\n\u003C\u002Ftd>\n\u003Ctd>\n9.49%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, embedded applications or devices\n\u003C\u002Ftd>\n\u003Ctd>\n76.09%\n\u003C\u002Ftd>\n\u003Ctd>\n16.23%\n\u003C\u002Ftd>\n\u003Ctd>\n7.68%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nEngineering manager\n\u003C\u002Ftd>\n\u003Ctd>\n75.26%\n\u003C\u002Ftd>\n\u003Ctd>\n16.49%\n\u003C\u002Ftd>\n\u003Ctd>\n8.25%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, desktop or enterprise applications\n\u003C\u002Ftd>\n\u003Ctd>\n70.92%\n\u003C\u002Ftd>\n\u003Ctd>\n18.6%\n\u003C\u002Ftd>\n\u003Ctd>\n10.48%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nData engineer\n\u003C\u002Ftd>\n\u003Ctd>\n70.88%\n\u003C\u002Ftd>\n\u003Ctd>\n18.75%\n\u003C\u002Ftd>\n\u003Ctd>\n10.37%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, full-stack\n\u003C\u002Ftd>\n\u003Ctd>\n69.16%\n\u003C\u002Ftd>\n\u003Ctd>\n18.83%\n\u003C\u002Ftd>\n\u003Ctd>\n12%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, back-end\n\u003C\u002Ftd>\n\u003Ctd>\n68.13%\n\u003C\u002Ftd>\n\u003Ctd>\n20.39%\n\u003C\u002Ftd>\n\u003Ctd>\n11.49%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, mobile\n\u003C\u002Ftd>\n\u003Ctd>\n63.24%\n\u003C\u002Ftd>\n\u003Ctd>\n22.13%\n\u003C\u002Ftd>\n\u003Ctd>\n14.62%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, front-end\n\u003C\u002Ftd>\n\u003Ctd>\n60.71%\n\u003C\u002Ftd>\n\u003Ctd>\n24.39%\n\u003C\u002Ftd>\n\u003Ctd>\n14.9%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nStudent\n\u003C\u002Ftd>\n\u003Ctd>\n58.62%\n\u003C\u002Ftd>\n\u003Ctd>\n27.45%\n\u003C\u002Ftd>\n\u003Ctd>\n13.92%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":1176,"_type":48,"children":1177,"markDefs":1181,"style":101},"b79cec7e5705",[1178],{"_key":1179,"_type":52,"marks":1180,"text":108},"8f0ed0895f0d",[],[],{"_key":1183,"_type":48,"children":1184,"markDefs":1188,"style":101},"559030c3497e",[1185],{"_key":1186,"_type":52,"marks":1187,"text":108},"abd99b11ae6c",[],[],{"_key":1190,"_type":48,"children":1191,"markDefs":1195,"style":101},"f79a6bfd164d",[1192],{"_key":1193,"_type":52,"marks":1194,"text":108},"a81574ded844",[],[],{"_key":1197,"_type":48,"children":1198,"markDefs":1203,"style":56},"9a2bfe01592a",[1199],{"_key":1200,"_type":52,"marks":1201,"text":1202},"62735e507ce5",[],"Challenges of AI at Work",[],{"_key":1205,"_type":48,"children":1206,"markDefs":1217,"style":101},"68214984380b",[1207,1210,1213],{"_key":1208,"_type":52,"marks":1209,"text":166},"bb89d84634dc",[63],{"_key":1211,"_type":52,"marks":1212,"text":509},"7a04ad9fca68",[],{"_key":1214,"_type":52,"marks":1215,"text":1216},"a72cf52d8d0a",[174],"What are the challenges to your company\u002Fwhole team using AI code assistants or GenAI tools?",[],{"_key":1219,"_type":48,"children":1220,"markDefs":1225,"style":185},"6e39a5d5e389",[1221],{"_key":1222,"_type":52,"marks":1223,"text":1224},"24364e363934",[],"Challenges: Professional Developers vs. Learning to Code",[],{"_key":1227,"_type":48,"children":1228,"markDefs":1233,"style":101},"f6f21022aacf",[1229],{"_key":1230,"_type":52,"marks":1231,"text":1232},"f5fba18b18d50",[],"Trusting AI tools for your own work is one thing, but when it comes to company-wide or team-wide adoption, more developers agree trust is a top challenge. Similarly to trust in accuracy, professional developers are more likely than those learning to code to select trust in output as a challenge but the margin between the two is smaller (66% v. 62% compared to 31% of professional developers who find AI not trustworthy compared to 21% of those learning to code.)",[],{"_key":1235,"_type":48,"children":1236,"markDefs":1240,"style":101},"9e880399e7fb",[1237],{"_key":1238,"_type":52,"marks":1239,"text":108},"18cd248966fc",[],[],{"_key":1242,"_type":203,"code":1243,"markDefs":12},"79185c4967b6","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nAI tools lack context of codebase, internal architecture, and\u002For company\nknowledge\n\u003C\u002Fth>\n\u003Cth>\nDon’t trust the output or answers\n\u003C\u002Fth>\n\u003Cth>\nLack of executive buy-in\n\u003C\u002Fth>\n\u003Cth>\nLack of proper training and education on new tools\n\u003C\u002Fth>\n\u003Cth>\nNot everyone uses them\n\u003C\u002Fth>\n\u003Cth>\nThey create more work (more code\u002FPRs to review, etc.)\n\u003C\u002Fth>\n\u003Cth>\nWe don’t have the right policies in place to reduce security risks\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nProfessional Developers\n\u003C\u002Ftd>\n\u003Ctd>\n64.72%\n\u003C\u002Ftd>\n\u003Ctd>\n66.22%\n\u003C\u002Ftd>\n\u003Ctd>\n11.87%\n\u003C\u002Ftd>\n\u003Ctd>\n29.58%\n\u003C\u002Ftd>\n\u003Ctd>\n25.81%\n\u003C\u002Ftd>\n\u003Ctd>\n12.21%\n\u003C\u002Ftd>\n\u003Ctd>\n31.85%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nLearning to Code\n\u003C\u002Ftd>\n\u003Ctd>\n55.4%\n\u003C\u002Ftd>\n\u003Ctd>\n62.37%\n\u003C\u002Ftd>\n\u003Ctd>\n9.48%\n\u003C\u002Ftd>\n\u003Ctd>\n37.42%\n\u003C\u002Ftd>\n\u003Ctd>\n24.39%\n\u003C\u002Ftd>\n\u003Ctd>\n19.44%\n\u003C\u002Ftd>\n\u003Ctd>\n27.53%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>",{"_key":1245,"_type":48,"children":1246,"markDefs":1251,"style":185},"fb064826928b",[1247],{"_key":1248,"_type":52,"marks":1249,"text":1250},"b2f4f0a77edb",[],"Challenges: Top 10 Developer Roles",[],{"_key":1253,"_type":48,"children":1254,"markDefs":1259,"style":101},"dfcf5bcc83bb",[1255],{"_key":1256,"_type":52,"marks":1257,"text":1258},"265684873d150",[],"Embedded developers and data engineers are most likely to find codebase context a challenge for AI among the top 10 roles from the Developer Survey; these two roles also were most interested in using AI to learn about codebases in the coming year.  The challenge here may be more about seeing a successful proof of concept.",[],{"_key":1261,"_type":48,"children":1262,"markDefs":1266,"style":101},"28e1f34d0cea",[1263],{"_key":1264,"_type":52,"marks":1265,"text":108},"bea8f0f39a8c",[],[],{"_key":1268,"_type":203,"code":1269,"markDefs":12},"21000cde20d9","\u003Ctable class=\"s-table\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>\nCategory\n\u003C\u002Fth>\n\u003Cth>\nAI tools lack context of codebase, internal architecture, and\u002For company\nknowledge\n\u003C\u002Fth>\n\u003Cth>\nDon’t trust the output or answers\n\u003C\u002Fth>\n\u003Cth>\nLack of executive buy-in\n\u003C\u002Fth>\n\u003Cth>\nLack of proper training and education on new tools\n\u003C\u002Fth>\n\u003Cth>\nNot everyone uses them\n\u003C\u002Fth>\n\u003Cth>\nThey create more work (more code\u002FPRs to review, etc.)\n\u003C\u002Fth>\n\u003Cth>\nWe don’t have the right policies in place to reduce security risks\n\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\nAcademic researcher\n\u003C\u002Ftd>\n\u003Ctd>\n53.13%\n\u003C\u002Ftd>\n\u003Ctd>\n73.1%\n\u003C\u002Ftd>\n\u003Ctd>\n10.83%\n\u003C\u002Ftd>\n\u003Ctd>\n34.35%\n\u003C\u002Ftd>\n\u003Ctd>\n22.17%\n\u003C\u002Ftd>\n\u003Ctd>\n15.4%\n\u003C\u002Ftd>\n\u003Ctd>\n31.64%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nData engineer\n\u003C\u002Ftd>\n\u003Ctd>\n65.04%\n\u003C\u002Ftd>\n\u003Ctd>\n64.03%\n\u003C\u002Ftd>\n\u003Ctd>\n12.94%\n\u003C\u002Ftd>\n\u003Ctd>\n32.1%\n\u003C\u002Ftd>\n\u003Ctd>\n26.05%\n\u003C\u002Ftd>\n\u003Ctd>\n10.42%\n\u003C\u002Ftd>\n\u003Ctd>\n35.29%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, back-end\n\u003C\u002Ftd>\n\u003Ctd>\n64.65%\n\u003C\u002Ftd>\n\u003Ctd>\n66.1%\n\u003C\u002Ftd>\n\u003Ctd>\n11.41%\n\u003C\u002Ftd>\n\u003Ctd>\n26.8%\n\u003C\u002Ftd>\n\u003Ctd>\n24.15%\n\u003C\u002Ftd>\n\u003Ctd>\n11.47%\n\u003C\u002Ftd>\n\u003Ctd>\n32.38%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, desktop or enterprise applications\n\u003C\u002Ftd>\n\u003Ctd>\n64.77%\n\u003C\u002Ftd>\n\u003Ctd>\n67.41%\n\u003C\u002Ftd>\n\u003Ctd>\n12.63%\n\u003C\u002Ftd>\n\u003Ctd>\n31.26%\n\u003C\u002Ftd>\n\u003Ctd>\n25.87%\n\u003C\u002Ftd>\n\u003Ctd>\n11.91%\n\u003C\u002Ftd>\n\u003Ctd>\n32.28%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, embedded applications or devices\n\u003C\u002Ftd>\n\u003Ctd>\n67.21%\n\u003C\u002Ftd>\n\u003Ctd>\n71.57%\n\u003C\u002Ftd>\n\u003Ctd>\n14.22%\n\u003C\u002Ftd>\n\u003Ctd>\n29.56%\n\u003C\u002Ftd>\n\u003Ctd>\n22.46%\n\u003C\u002Ftd>\n\u003Ctd>\n13.41%\n\u003C\u002Ftd>\n\u003Ctd>\n33.6%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, front-end\n\u003C\u002Ftd>\n\u003Ctd>\n63.8%\n\u003C\u002Ftd>\n\u003Ctd>\n61.33%\n\u003C\u002Ftd>\n\u003Ctd>\n11.82%\n\u003C\u002Ftd>\n\u003Ctd>\n29.43%\n\u003C\u002Ftd>\n\u003Ctd>\n27.77%\n\u003C\u002Ftd>\n\u003Ctd>\n12.19%\n\u003C\u002Ftd>\n\u003Ctd>\n30.99%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, full-stack\n\u003C\u002Ftd>\n\u003Ctd>\n65.55%\n\u003C\u002Ftd>\n\u003Ctd>\n66.69%\n\u003C\u002Ftd>\n\u003Ctd>\n12.06%\n\u003C\u002Ftd>\n\u003Ctd>\n29.89%\n\u003C\u002Ftd>\n\u003Ctd>\n26.57%\n\u003C\u002Ftd>\n\u003Ctd>\n12.38%\n\u003C\u002Ftd>\n\u003Ctd>\n31.16%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nDeveloper, mobile\n\u003C\u002Ftd>\n\u003Ctd>\n60.49%\n\u003C\u002Ftd>\n\u003Ctd>\n60.21%\n\u003C\u002Ftd>\n\u003Ctd>\n10.35%\n\u003C\u002Ftd>\n\u003Ctd>\n29.16%\n\u003C\u002Ftd>\n\u003Ctd>\n28.79%\n\u003C\u002Ftd>\n\u003Ctd>\n11.76%\n\u003C\u002Ftd>\n\u003Ctd>\n31.42%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nEngineering manager\n\u003C\u002Ftd>\n\u003Ctd>\n63.19%\n\u003C\u002Ftd>\n\u003Ctd>\n64.56%\n\u003C\u002Ftd>\n\u003Ctd>\n13.19%\n\u003C\u002Ftd>\n\u003Ctd>\n36.26%\n\u003C\u002Ftd>\n\u003Ctd>\n27.61%\n\u003C\u002Ftd>\n\u003Ctd>\n9.89%\n\u003C\u002Ftd>\n\u003Ctd>\n32.01%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>\nStudent\n\u003C\u002Ftd>\n\u003Ctd>\n61.67%\n\u003C\u002Ftd>\n\u003Ctd>\n72.52%\n\u003C\u002Ftd>\n\u003Ctd>\n6.66%\n\u003C\u002Ftd>\n\u003Ctd>\n33.81%\n\u003C\u002Ftd>\n\u003Ctd>\n19.61%\n\u003C\u002Ftd>\n\u003Ctd>\n19.66%\n\u003C\u002Ftd>\n\u003Ctd>\n24.27%\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>","none","2024\u002F07\u002F22","The latest insights on AI from our 2024 Developer Survey.  This deep dive covers statistics on usage, sentiment, trust and challenges among different groups of developers.",{"_type":1274,"asset":1275},"image",{"_ref":1276,"_type":1277},"image-2282aea5757878da18fd07c4e1e33e5c75e89a81-1200x630-png","reference",{"_createdAt":1279,"_id":1280,"_rev":1281,"_type":1282,"_updatedAt":1283,"abbr":1284,"color":1285,"descriptionShort":1302,"name":1303,"nameFull":1303,"slug":1304},"2022-10-05T08:07:34Z","f1a62b88-bf16-4c2c-ab71-12fd89ad6b0c","Y19sMkrokem5ta9WfBjWNY","product","2022-11-14T13:11:55Z","SO",{"_type":1286,"alpha":125,"hex":1287,"hsl":1288,"hsv":1293,"rgb":1297},"color","#f48024",{"_type":1289,"a":125,"h":1290,"l":1291,"s":1292},"hslaColor",26.53846153846154,0.5490196078431373,0.9043478260869566,{"_type":1294,"a":125,"h":1290,"s":1295,"v":1296},"hsvaColor",0.8524590163934426,0.9568627450980393,{"_type":1298,"a":125,"b":1299,"g":1300,"r":1301},"rgbaColor",36,128,244,"Where developers and technologists go to gain and share knowledge.","Stack Overflow",{"_type":10,"current":1305},"stack-overflow","2024-07-22T17:49:46.748Z",{"_type":10,"current":1308},"2024-developer-survey-insights-for-ai-ml",[1310,1328],{"_createdAt":1311,"_id":1312,"_rev":1313,"_type":1314,"_updatedAt":1315,"description":1316,"slug":1325,"title":1327},"2025-04-14T10:12:56Z","22b7727b-da8a-4324-884a-9a7d399aa2df","JfoWZSLIstjPUpetad9kUn","blogTag","2025-04-14T10:13:47Z",[1317],{"_key":1318,"_type":48,"children":1319,"markDefs":1324,"style":101},"8fd652e18302",[1320],{"_key":1321,"_type":52,"marks":1322,"text":1323},"2256eb09fbbb",[],"Where we explore future of collective knowledge sharing through experiments.",[],{"_type":10,"current":1326},"labs","Labs",{"_createdAt":1329,"_id":1330,"_rev":1331,"_type":1314,"_updatedAt":1332,"slug":1333,"title":1335},"2025-04-14T11:55:55Z","e84a4b4f-9299-48c7-80c7-6f00c9709042","NO4mf4WFgUc3uKBcLpP1CO","2025-04-14T11:55:59Z",{"_type":10,"current":1334},"labs-research","Labs: Research","2024 Developer Survey Insights for AI\u002FML",[1338,1344,1350,1356],{"_id":1339,"publishedAt":1340,"slug":1341,"sponsored":12,"title":1343},"28e560af-f0aa-4d46-bd90-f435ad604aa7","2026-06-26T14:00:27.102Z",{"_type":10,"current":1342},"paging-charity-how-can-engineering-leaders-avoid-becoming-bond-villains","Paging Charity! How can engineering leaders avoid becoming Bond villains?",{"_id":1345,"publishedAt":1346,"slug":1347,"sponsored":12,"title":1349},"4b22c2a3-3779-4966-93eb-5230391dbdce","2026-06-23T14:08:58.595Z",{"_type":10,"current":1348},"your-ai-shipped-a-backend-that-boots-that-is-the-whole-problem","Your AI shipped a backend that boots. That is the whole problem.",{"_id":1351,"publishedAt":1352,"slug":1353,"sponsored":12,"title":1355},"5cf362e1-fe7b-45af-b69c-914731c6a052","2026-06-23T14:00:00.000Z",{"_type":10,"current":1354},"the-2026-developer-survey-is-now-open-for-human-developers-only","The 2026 Developer Survey is now open (for human developers only)!",{"_id":1357,"publishedAt":1358,"slug":1359,"sponsored":12,"title":1361},"30b995f7-7cb9-4dd8-bf71-d0685940a32b","2026-06-19T14:00:00.000Z",{"_type":10,"current":1360},"dispatches-from-o-reilly-from-capabilities-to-responsibilities","Dispatches from O'Reilly: From capabilities to responsibilities",{"data":1363,"sourceMap":-1},{"count":1364,"lastTimestamp":12},0]