[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"sanity-lsc8Bp4DjjsyLmMFKyNOMGlrkIA_xF-VRlzXXuaxOVA":3},{"data":4,"sourceMap":-1},{"meta":5,"resource":9},{"sidebarCta":6},{"body":7,"title":8},"Subscribe to receive Stack Internal content around knowledge sharing, collaboration, and AI.","Stay updated",{"_createdAt":10,"_id":11,"_rev":12,"_system":13,"_type":16,"_updatedAt":17,"body":18,"category":101,"chapters":104,"displayMinimal":906,"image":907,"preface":910,"product":911,"publishedAt":938,"resourceType":939,"seo":943,"slug":948,"subcategory":950,"title":947,"visible":906},"2025-09-11T19:48:46Z","867bae13-0773-4f93-8e6a-0d05ae1bfcd4","IVR5LerVlzEKFH3QJk78ob",{"base":14},{"id":11,"rev":15},"66bNz0mmUxbMe9OZ0bbNam","resource","2025-12-01T11:17:17Z",[19,42,50,58,67,77,84,91,94],{"_key":20,"_type":21,"children":22,"markDefs":37,"style":41},"6c6a514e40b3","block",[23,28,33],{"_key":24,"_type":25,"marks":26,"text":27},"7d0d83233821","span",[],"Every year, the Stack Overflow Developer Survey snapshots how the world’s builders are working, learning, and using new technologies. ",{"_key":29,"_type":25,"marks":30,"text":32},"a5c6b831ee31",[31],"0c67e74291c5","The 2025 survey",{"_key":34,"_type":25,"marks":35,"text":36},"c98f8a685a7d",[]," of nearly 50,000 developers from 177 countries illuminates a tech workforce embracing AI faster than ever—even as they wrestle with questions of trust, productivity, and developer experience.",[38],{"_key":31,"_type":39,"href":40},"link","https://survey.stackoverflow.co/2025/","normal",{"_key":43,"_type":21,"children":44,"markDefs":49,"style":41},"41093db8bab6",[45],{"_key":46,"_type":25,"marks":47,"text":48},"b26b7415f36e",[],"For business leaders, these findings provide invaluable signals: where you should be investing resources to empower technical teams and deliver business value, plus areas where caution is warranted.",[],{"_key":51,"_type":21,"children":52,"markDefs":57,"style":41},"93a358402588",[53],{"_key":54,"_type":25,"marks":55,"text":56},"6facd25911e5",[],"",[],{"_key":59,"_type":21,"children":60,"markDefs":65,"style":66},"bee53f1963db",[61],{"_key":62,"_type":25,"marks":63,"text":64},"acb140409d0a",[],"Key takeaways:",[],"h3",{"_key":68,"_type":21,"children":69,"level":74,"listItem":75,"markDefs":76,"style":41},"7553ead021bb",[70],{"_key":71,"_type":25,"marks":72,"text":73},"eedee679b7a3",[],"Developers are rapidly adopting AI tools, but their trust is declining due to concerns over accuracy and reliability, signalling a critical need for quality control.",1,"bullet",[],{"_key":78,"_type":21,"children":79,"level":74,"listItem":75,"markDefs":83,"style":41},"5b9dbd0cfb31",[80],{"_key":71,"_type":25,"marks":81,"text":82},[],"Despite new tools, community-based knowledge sharing remains the primary and most trusted source for developers to solve problems and overcome the \"productivity paradox.\"",[],{"_key":85,"_type":21,"children":86,"level":74,"listItem":75,"markDefs":90,"style":41},"6fec6b6a6d70",[87],{"_key":71,"_type":25,"marks":88,"text":89},[],"Satisfaction with Developer Experience (DX) is critically low; leaders must focus on improving tool friction and investing in continuous learning to retain talent and ensure long-term success.\n\n\nRead on for insights you can’t miss →",[],{"_key":92,"_type":93},"ad457443f060","image",{"_key":95,"_type":21,"children":96,"markDefs":100,"style":41},"df4262f2bdf9",[97],{"_key":98,"_type":25,"marks":99,"text":56},"c38dc4912b29",[],[],{"_ref":102,"_type":103},"ef0e02bc-df9c-4b7c-b754-59031956a409","reference",[105,234,325,413,491,590,696],{"_key":106,"_type":107,"body":108,"seo":223,"sidebarCta":229,"slug":230,"title":233},"8121935f23e2","chapter",[109,128,147,151,164,183,191,199,207,215],{"_key":110,"_type":21,"children":111,"markDefs":125,"style":41},"45487e68f2fd",[112,116,121],{"_key":113,"_type":25,"marks":114,"text":115},"dc82648abe82",[],"Our survey shows that ",{"_key":117,"_type":25,"marks":118,"text":120},"0495cb0c2b25",[119],"ac6cb3e39052","84% of developers use or plan to use AI tools",{"_key":122,"_type":25,"marks":123,"text":124},"59329adc8731",[],", up from 76% last year. Yet developer trust in those tools is falling fast: only 29% of respondents this year say they trust AI outputs to be accurate, down from 40% in 2024. ",[126],{"_key":119,"_type":39,"href":127},"https://survey.stackoverflow.co/2025/ai#sentiment-and-usage",{"_key":129,"_type":21,"children":130,"markDefs":144,"style":41},"8e696c798fbb",[131,135,140],{"_key":132,"_type":25,"marks":133,"text":134},"5b79783ee595",[],"This adoption-trust gap creates a huge risk for companies betting heavily on AI. While developers see value in speed and automation, they are skeptical of the quality and reliability of AI-generated results. Developers simply don’t trust AI because they know ",{"_key":136,"_type":25,"marks":137,"text":139},"8a032c83593f",[138],"eae58215c7c2","the answers it provides",{"_key":141,"_type":25,"marks":142,"text":143},"2bafccf6b8aa",[]," are often inaccurate. According to our survey, more developers actively distrust the accuracy of AI tools (46%) than trust it (33%), while only 3% report that they \"highly trust\" the output.",[145],{"_key":138,"_type":39,"href":146},"https://stackoverflow.co/teams/resources/ai-answers-aren-t-knowledge/",{"_key":148,"_type":149,"code":150},"15f747770ca5","html","\u003Cimg loading=\"lazy\" src=\"https://cdn.sanity.io/images/jo7n4k8s/production/cf98ce8116ba57e584bc117e9d5b4b1d50382eca-1713x2109.png?auto=format\" width=\"400px\" class=\"wmx100 h-auto mx-auto d-block bar-lg mb12\">",{"_key":152,"_type":21,"children":153,"markDefs":163,"style":66},"d5ab4eaa4e0b",[154,159],{"_key":155,"_type":25,"marks":156,"text":158},"27a6ea4ab53c",[157],"strong","TL;DR for leaders",{"_key":160,"_type":25,"marks":161,"text":162},"c79abbbb4d74",[]," ",[],{"_key":165,"_type":21,"children":166,"markDefs":180,"style":41},"16ef7fe434c7",[167,171,176],{"_key":168,"_type":25,"marks":169,"text":170},"bc1dd8ffd16d",[],"Your developers are going to continue to use AI tools in their workflows, so you need to ensure they can trust the output. ",{"_key":172,"_type":25,"marks":173,"text":175},"f4074e8ab2f3",[174],"1a70520c5f83","Trusted, human-curated knowledge",{"_key":177,"_type":25,"marks":178,"text":179},"ad56a82647e0",[]," is fundamental to fuel and guide these tools. Smart business leaders are investing ",[181],{"_key":174,"_type":39,"href":182},"https://stackoverflow.co/teams/resources/how-your-knowledge-base-can-improve-ai-model-performance/",{"_key":184,"_type":21,"children":185,"markDefs":190,"style":41},"81e903e66e5e",[186],{"_key":187,"_type":25,"marks":188,"text":189},"1fb6b30a4971",[],"in a centralized knowledge base, built and verified by their teams, that can power AI systems. By pairing automation with trusted human oversight, you can:",[],{"_key":192,"_type":21,"children":193,"level":74,"listItem":75,"markDefs":198,"style":41},"5f84c99d411f",[194],{"_key":195,"_type":25,"marks":196,"text":197},"7e8d2fb611d1",[],"Ensure accuracy",[],{"_key":200,"_type":21,"children":201,"level":74,"listItem":75,"markDefs":206,"style":41},"a8b925f0fb7e",[202],{"_key":203,"_type":25,"marks":204,"text":205},"07f9b587603a",[],"Reduce rework, and",[],{"_key":208,"_type":21,"children":209,"level":74,"listItem":75,"markDefs":214,"style":41},"2f5170c8cc56",[210],{"_key":211,"_type":25,"marks":212,"text":213},"b9b499e460b6",[],"Build long-term confidence in the tools your team uses",[],{"_key":216,"_type":21,"children":217,"markDefs":222,"style":41},"7aebeed052f6",[218],{"_key":219,"_type":25,"marks":220,"text":221},"81f66b8dc382",[],"AI tools alone won’t deliver sustainable value. Companies that prioritize validating the knowledge AI tools use will win in the long run.",[],{"_type":224,"seoDescription":225,"seoImage":226},"seo","Explore our interactive guide on GenAI and LLMs, offering insights on AI strategy, tech integration, and safety considerations.",{"_type":93,"asset":227},{"_ref":228,"_type":103},"image-14ca641b67c15cade1ff57002fd4a137e09053d9-2400x1260-png",[],{"_type":231,"current":232},"slug","ai-adoption","Learning #1. AI adoption is accelerating, but trust is declining",{"_key":235,"_type":107,"body":236,"seo":316,"sidebarCta":321,"slug":322,"title":324},"80c5511a89ce",[237,255,263,271,279,287,290,300,308],{"_key":238,"_type":21,"children":239,"markDefs":253,"style":41},"475e09c0ad72",[240,244,249],{"_key":241,"_type":25,"marks":242,"text":243},"0cad39e068c5",[],"Developers are using more tools than ever: ",{"_key":245,"_type":25,"marks":246,"text":248},"4dcf7ee2aa18",[247],"427e6ef8d2d9","35% report juggling 6-10 tools daily",{"_key":250,"_type":25,"marks":251,"text":252},"5dec8a32781e",[],". ",[254],{"_key":247,"_type":39,"href":127},{"_key":256,"_type":21,"children":257,"markDefs":262,"style":41},"9d4828706d58",[258],{"_key":259,"_type":25,"marks":260,"text":261},"aa76ff33898a",[],"This tool sprawl disrupts workflows because constant context-switching interrupts your teams’ flow and undermines their productivity. Even the most promising AI tools can exacerbate the problem if they’re creating more confusion than trusted answers.",[],{"_key":264,"_type":21,"children":265,"level":74,"listItem":75,"markDefs":270,"style":41},"c147c1891198",[266],{"_key":267,"_type":25,"marks":268,"text":269},"15ddaebbec14",[],"66% of developers surveyed say their biggest frustration with AI is outputs that are “almost right, but not quite”.",[],{"_key":272,"_type":21,"children":273,"level":74,"listItem":75,"markDefs":278,"style":41},"1f0580fa4258",[274],{"_key":275,"_type":25,"marks":276,"text":277},"2f781e2b9897",[],"45% of developers say debugging AI-generated code takes more time than writing it themselves.",[],{"_key":280,"_type":21,"children":281,"level":74,"listItem":75,"markDefs":286,"style":41},"e877a9e46f26",[282],{"_key":283,"_type":25,"marks":284,"text":285},"3d072d4813f9",[],"Only 29% of developers trust AI tools to handle complex tasks, down from 35% last year.\n",[],{"_key":288,"_type":149,"code":289},"4fc3fffb3920","\u003Cimg loading=\"lazy\" src=\"https://cdn.sanity.io/images/jo7n4k8s/production/44b55e0b2a14c50125bd1ab4bf7351f65061229f-1713x2109.png?auto=format\" width=\"400px\" class=\"wmx100 h-auto mx-auto d-block bar-lg mb12\">",{"_key":291,"_type":21,"children":292,"markDefs":299,"style":66},"a079e2e75df2",[293,296],{"_key":294,"_type":25,"marks":295,"text":158},"9704b5b45e0b",[157],{"_key":297,"_type":25,"marks":298,"text":162},"733a1e60f7f6",[],[],{"_key":301,"_type":21,"children":302,"markDefs":307,"style":41},"89988e000af2",[303],{"_key":304,"_type":25,"marks":305,"text":306},"8ef2bbb083b0",[],"Instead of simply adding new tools, focus on tools that integrate seamlessly in the platforms your teams already work in, whether a chat platform like Slack or Microsoft Teams or developer tools like GitHub and Jira).",[],{"_key":309,"_type":21,"children":310,"markDefs":315,"style":41},"30d51911e6af",[311],{"_key":312,"_type":25,"marks":313,"text":314},"54a49a154630",[],"Developers need fewer disruptions and more interoperability. Leaders should prioritize platforms that fit into existing workflows and reduce friction, rather than introducing standalone solutions.",[],{"_type":224,"seoDescription":317,"seoImage":318},"Explore the evolution of AI from Turing's era to today's GenAI, and how it's revolutionizing our world.",{"_type":93,"asset":319},{"_ref":320,"_type":103},"image-38becfcd04c2255ed5c88fca1020a3fa95ab7845-2400x1260-png",[],{"_type":231,"current":323},"productivity-paradox","Learning #2. The productivity paradox: More tools, less flow",{"_key":326,"_type":107,"body":327,"seo":404,"sidebarCta":409,"slug":410,"title":412},"15a3b192f2bc",[328,346,354,357,364,371,388],{"_key":329,"_type":21,"children":330,"markDefs":344,"style":41},"b2cdaaebb82d",[331,335,340],{"_key":332,"_type":25,"marks":333,"text":334},"3e648696c974",[],"Despite AI’s rise, developers let us know that they still overwhelmingly rely on human expertise, especially when the going gets tough. When developers don’t trust AI output, ",{"_key":336,"_type":25,"marks":337,"text":339},"0b3a8fed1533",[338],"cc7ced63bf41","75% of them turn to other humans",{"_key":341,"_type":25,"marks":342,"text":343},"74d71bfee507",[]," to get the knowledge they need.",[345],{"_key":338,"_type":39,"href":127},{"_key":347,"_type":21,"children":348,"markDefs":353,"style":41},"0361fe133e67",[349],{"_key":350,"_type":25,"marks":351,"text":352},"7738976c78b6",[],"Moreso, more than 80% of developers surveyed visit Stack Overflow—a hub of human-generated and vetted knowledge—at least several times a month. The top-ranked activity on Stack Overflow? Reading comments. That makes it crystal-clear that developers crave context and nuanced discussion, not just quick AI answers (that may not even be right!).",[],{"_key":355,"_type":149,"code":356},"8d3ad2a3c53a","\u003Cimg loading=\"lazy\" src=\"https://cdn.sanity.io/images/jo7n4k8s/production/3476fdb1fed40dae419d62fe6510f78619383f2d-1713x2109.png?auto=format\" width=\"400px\" class=\"wmx100 h-auto mx-auto d-block bar-lg mb12\">",{"_key":358,"_type":21,"children":359,"markDefs":363,"style":41},"5ec4a1344ed8",[360],{"_key":361,"_type":25,"marks":362,"text":56},"e432b2e23082",[],[],{"_key":365,"_type":21,"children":366,"markDefs":370,"style":66},"0f49e5ca8e52",[367],{"_key":368,"_type":25,"marks":369,"text":158},"a665c5dddcd6",[157],[],{"_key":372,"_type":21,"children":373,"markDefs":387,"style":41},"5df941a63bbe",[374,378,383],{"_key":375,"_type":25,"marks":376,"text":377},"92fdd0329d78",[],"Community-driven and contextual knowledge is a critical asset to any organization. Developers don’t just need rapid-fire answers; they need trusted, peer-reviewed ",{"_key":379,"_type":25,"marks":380,"text":382},"bfb15ef0ce0e",[381],"em","explanations",{"_key":384,"_type":25,"marks":385,"text":386},"393576a232bb",[],". Answers and reasoning for company-specific questions are also usually nuanced, so you’d be sadly mistaken to think an AI tool can provide that out the gate.",[],{"_key":389,"_type":21,"children":390,"markDefs":403,"style":41},"b3ff30a93e4d",[391,395,399],{"_key":392,"_type":25,"marks":393,"text":394},"d53731e232b2",[],"Leaders need to invest in community platforms, peer-to-peer learning, and human-verified content to ensure their AI solutions are ",{"_key":396,"_type":25,"marks":397,"text":398},"0e10ed4349aa",[381],"powered by",{"_key":400,"_type":25,"marks":401,"text":402},"286de44e1326",[]," human expertise, rather than replace it.",[],{"_type":224,"seoDescription":405,"seoImage":406},"Explore AI integration options, from building in-house models to leveraging open-source ones, and understand key GenAI components.",{"_type":93,"asset":407},{"_ref":408,"_type":103},"image-da56fe1ba77e8a7c9b6931eceb9c64242540a5ea-2400x1260-png",[],{"_type":231,"current":411},"communities","Learning #3. Communities are still developers’ go-to for knowledge",{"_key":414,"_type":107,"body":415,"sidebarCta":487,"slug":488,"title":490},"26e72c525b66",[416,431,445,453,461,464,471,479],{"_key":417,"_type":21,"children":418,"markDefs":428,"style":41},"5588959370c3",[419,424],{"_key":420,"_type":25,"marks":421,"text":423},"6abc3bcf1827",[422],"f4f4baf081f4","AI agents",{"_key":425,"_type":25,"marks":426,"text":427},"9c092c06585a",[],"—autonomous systems that can handle tasks end-to-end—are the latest AI buzz and are getting more attention from business leaders. But on the developer side, agentic AI still faces adoption hurdles.",[429],{"_key":422,"_type":39,"href":430},"https://stackoverflow.blog/2025/04/17/wait-what-is-agentic-ai/",{"_key":432,"_type":21,"children":433,"level":74,"listItem":75,"markDefs":443,"style":41},"5e74681106e1",[434,439],{"_key":435,"_type":25,"marks":436,"text":438},"e64b22c785c4",[437],"877a1d0f7b87","87% of survey respondents",{"_key":440,"_type":25,"marks":441,"text":442},"a4d7f51c9bb1",[]," are concerned about the accuracy of AI agents.",[444],{"_key":437,"_type":39,"href":127},{"_key":446,"_type":21,"children":447,"level":74,"listItem":75,"markDefs":452,"style":41},"28041777a261",[448],{"_key":449,"_type":25,"marks":450,"text":451},"56f76b3a2f4c",[],"81% are concerned about the security and privacy of their data when using AI agents.",[],{"_key":454,"_type":21,"children":455,"level":74,"listItem":75,"markDefs":460,"style":41},"fec23d60848f",[456],{"_key":457,"_type":25,"marks":458,"text":459},"21094c646fb2",[],"And only one-third of developers actually use AI agents today, with half of developers having no plans to adopt them (citing accuracy, security, and privacy concerns).",[],{"_key":462,"_type":149,"code":463},"e5fa15736680","\u003Cimg loading=\"lazy\" src=\"https://cdn.sanity.io/images/jo7n4k8s/production/3d308c31f8444d834c6bb8203295f211376bf4c8-1713x2110.png?auto=format\" width=\"400px\" class=\"wmx100 h-auto mx-auto d-block bar-lg mb12\">",{"_key":465,"_type":21,"children":466,"markDefs":470,"style":66},"81414f5b6768",[467],{"_key":468,"_type":25,"marks":469,"text":158},"c164cf5fc4e1",[157],[],{"_key":472,"_type":21,"children":473,"markDefs":478,"style":41},"acabaa3809a0",[474],{"_key":475,"_type":25,"marks":476,"text":477},"a80d234af173",[],"Before rolling out AI agents, leaders should consider how to address the trust and safety barriers. This means ensuring strong data protections and validating outputs. Leaders should get buy-in from developers through pilot programs and open feedback, rather than mandating adoption from the top down.\n\nAnd bear in mind that high-quality data (up-to-date, structured, well-organized) can make or break the success of any agentic AI project. Without good-quality data, AI agents can’t deliver accurate, reliable, or secure outputs. That’s one of the main reasons developers are hesitant to use them.\n",[],{"_key":480,"_type":21,"children":481,"markDefs":486,"style":41},"c9856b1c5990",[482],{"_key":483,"_type":25,"marks":484,"text":485},"943d1349780e",[],"Want to build AI agents that actually work? Focus on your data first, not just the tools & technology. Bad data breaks even the best AI.",[],[],{"_type":231,"current":489},"ai-agents","Learning #4. AI agents: Promising, but not yet mainstream",{"_key":492,"_type":107,"body":493,"seo":581,"sidebarCta":586,"slug":587,"title":589},"dd65502b26a8",[494,513,521,524,531,538,546,554],{"_key":495,"_type":21,"children":496,"markDefs":510,"style":41},"93ff3101124f",[497,501,506],{"_key":498,"_type":25,"marks":499,"text":500},"ca69ed1ed661",[],"This year’s survey highlights a strong culture of learning: ",{"_key":502,"_type":25,"marks":503,"text":505},"333ae5cb1cbb",[504],"bc846ac9c836","69% of developers",{"_key":507,"_type":25,"marks":508,"text":509},"3d4bc57b0e62",[]," learned new coding techniques or languages in the past year, and over a third (36%) focused specifically on AI-enabled programming. Not surprisingly, traditional technical documentation remains the most-used resource for developers to learn, ahead of AI tools, videos, or other forums.",[511],{"_key":504,"_type":39,"href":512},"https://survey.stackoverflow.co/2025/developers/",{"_key":514,"_type":21,"children":515,"markDefs":520,"style":41},"b01fdc8f553f",[516],{"_key":517,"_type":25,"marks":518,"text":519},"e830d8441ead",[],"Python continues its rise as the programming language devs are doing extensive work in over the past year, gaining 7% from 2024 to 2025. This speaks to its use as the go-to language for AI, data science, and backend development.",[],{"_key":522,"_type":149,"code":523},"39fd57ec3bab","\u003Cimg loading=\"lazy\" src=\"https://cdn.sanity.io/images/jo7n4k8s/production/d6f2712931d9a536ae41820bd3aed857ff91f367-1713x2109.png?auto=format\" width=\"400px\" class=\"wmx100 h-auto mx-auto d-block bar-lg mb12\">",{"_key":525,"_type":21,"children":526,"markDefs":530,"style":41},"2bbff2a98463",[527],{"_key":528,"_type":25,"marks":529,"text":56},"c46bb67e14e2",[],[],{"_key":532,"_type":21,"children":533,"markDefs":537,"style":66},"027b372aa47f",[534],{"_key":535,"_type":25,"marks":536,"text":158},"f18c63adfc6f",[157],[],{"_key":539,"_type":21,"children":540,"markDefs":545,"style":41},"ed302ab9c019",[541],{"_key":542,"_type":25,"marks":543,"text":544},"86c4342f66f1",[],"Give your developers two things: good documentation and hands-on practice with AI programming. Prioritize learning opportunities and environments with languages they use most and gaps you may need for company or AI objectives.",[],{"_key":547,"_type":21,"children":548,"markDefs":553,"style":41},"c63f192029a7",[549],{"_key":550,"_type":25,"marks":551,"text":552},"042a5b1a4e7e",[],"It’s also important to support continuous skill development without forcing AI adoption. One way to do this is by creating safe spaces, like community forums, for developers to ask complex questions of one another when AI tools fail. ",[],{"_key":555,"_type":21,"children":556,"markDefs":578,"style":41},"a3037499104f",[557,561,565,569,574],{"_key":558,"_type":25,"marks":559,"text":560},"04f17ba08c83",[],"A senior learning specialist at Morgan Stanley who joined our ",{"_key":562,"_type":25,"marks":563,"text":564},"858442f29fed",[381],"Leaders of Code",{"_key":566,"_type":25,"marks":567,"text":568},"0fdba59b8fb8",[]," podcast stressed the importance of ",{"_key":570,"_type":25,"marks":571,"text":573},"497de91d62ff",[572],"0fee8d2cc4a6","embedding learning opportunities at work",{"_key":575,"_type":25,"marks":576,"text":577},"02f41a1dbb26",[]," and how a culture of continuous learning preserves valuable institutional knowledge. 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