{"id":2159,"date":"2025-06-25T15:12:57","date_gmt":"2025-06-25T15:12:57","guid":{"rendered":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/2025\/06\/25\/docker-state-of-app-dev-ai\/"},"modified":"2025-06-25T15:12:57","modified_gmt":"2025-06-25T15:12:57","slug":"docker-state-of-app-dev-ai","status":"publish","type":"post","link":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/2025\/06\/25\/docker-state-of-app-dev-ai\/","title":{"rendered":"Docker State of App Dev: AI"},"content":{"rendered":"

AI is changing software development \u2014 but not how you think<\/strong><\/p>\n

The hype is real, but so are the challenges. Here\u2019s what developers, teams, and tech leaders need to know about AI\u2019s uneven, evolving role in software.<\/em><\/p>\n\n

Rumors of AI\u2019s pervasiveness in software development have been greatly exaggerated. A look under the hood shows adoption is far from uniform<\/strong>. While some dev teams are embedding AI into daily workflows, others are still kicking the tires or sitting it out entirely. Real-world usage reveals a nuanced picture shaped by industry, role, and data readiness.<\/p>\n

Here are six key insights into AI tools and development from Docker\u2019s second annual State of Application Development Survey<\/em><\/strong>, based on responses from over 4,500 industry professionals.<\/p>\n\n

1. How are people using AI?<\/strong><\/p>\n

Right off the bat, we saw a split between two classes of respondents:\u00a0<\/p>\n

Those who use AI tools like ChatGPT and GitHub Copilot for everyday work-related tasks such as writing, documentation, and research\u00a0<\/p>\n

Those who build<\/em> applications with AI\/ML functionality<\/p>\n

2.<\/strong> IT leads the way in AI tool usage and app development\u00a0<\/strong><\/p>\n

Only about 1 in 4 respondents (22%<\/strong>) report using AI tools for work. But there\u2019s a huge spread across industries \u2014 from<\/strong> 1% to 84%<\/strong>. Among the top AI users are <\/strong>IT\/SaaS folks (76%<\/strong>). And because we surveyed over three times more users this year than for last year\u2019s report, the snapshot covers a broader spectrum of industries beyond just those focused on IT.<\/p>\n

Underscoring tech\u2019s embrace of AI: 34% of IT\/SaaS respondents say they develop AI\/ML apps<\/strong>, compared to just 8%<\/strong> outside that bubble.<\/p>\n

And strategy reflects this gulf<\/strong>. Only 16%<\/strong> of companies outside IT report having a real AI strategy. Within tech, the number soars to 73%<\/strong>. Translation: AI is gaining traction, but it\u2019s concentrated in certain industries \u2014 at least for now.<\/p>\n\n

3. AI tools are overhyped \u2014 and incredibly useful<\/strong><\/p>\n

Here\u2019s the paradox: 64% of users say AI tools make work easier<\/strong>, yet almost as many (59%<\/strong>) think AI tools are overhyped<\/strong>. The hype may be loud, but utility is speaking louder, especially for those who\u2019ve stuck with it. In fact, 65% of current users say they\u2019re using AI more than they did a year ago<\/strong>, and that same percentage use it every day.<\/p>\n

This tracks roughly with findings in our 2024 report, in which 61% of respondents agreed AI made their job easier, even as 45% reported feeling AI was overhyped. And 65% agreed that AI was a positive option.<\/p>\n\n

4. AI tool usage is up \u2014 and ChatGPT leads the pack<\/strong><\/p>\n

No surprises here. The most-used AI-powered tools are the same as in our 2024 survey \u2014 ChatGPT (especially among full-stack developers), GitHub Copilot, and Google Gemini.\u00a0<\/p>\n

But usage this year far outstrips what users reported last year, with 80%<\/strong> selecting ChatGPT <\/strong>(versus 46% in our 2024 report), 53% Copilot <\/strong>(versus 30%), and 23% Gemini <\/strong>(versus 19%).<\/p>\n\n

5. Developers don\u2019t use AI the same way<\/strong><\/p>\n

The top overall use case is coding. Beyond that, it depends.<\/p>\n

Seasoned devs<\/strong> turn to AI to write documentation and tests but use it sparingly.\u00a0<\/p>\n

DevOps engineers<\/strong> use it for CLI help and writing docs.<\/p>\n

Software devs<\/strong> tap AI to write tests and do research.<\/p>\n

And not all devs lean on AI equally. Seasoned devs are the least reliant, most often rating themselves as not at all dependent (0\/10), while DevOps engineers rate their dependence at 7\/10. Software devs are somewhere in the middle, usually landing at a 5\/10 on the dependence scale. For comparison, the overall average dependence on AI in our 2024 survey was about 4 out of 10 (all users).<\/p>\n

Looking ahead, it will be interesting to see how dependence on AI shifts and becomes further integrated by role.\u00a0<\/p>\n\n

6. Data is the bottleneck no one talks about<\/strong><\/p>\n

The use of AI\/ML in app development is a new and rapidly growing phenomenon that, not surprisingly, brings new pain points. For teams building AI\/ML apps, one headache stands out: data prep. A full 24%<\/strong> of AI builders say they\u2019re not confident<\/strong> in how to identify or prepare the right datasets.<\/p>\n

Even with the right intent and tools, teams hit friction where it hurts productivity most \u2014 upfront.<\/p>\n\n

Bottom line:<\/strong>
We\u2019re in the early stages of the next tech revolution \u2014 complex, fast-evolving, and rife of challenges. Developers are meeting it head-on, quickly ramping up on new tools and architectures, and driving innovation at every layer of the stack. And Docker is right there with them, empowering innovation every step of the way.<\/p>","protected":false},"excerpt":{"rendered":"

AI is changing software development \u2014 but not how you think The hype is real, but so are the challenges. […]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[4],"tags":[],"class_list":["post-2159","post","type-post","status-publish","format-standard","hentry","category-docker"],"_links":{"self":[{"href":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/wp-json\/wp\/v2\/posts\/2159","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/wp-json\/wp\/v2\/comments?post=2159"}],"version-history":[{"count":0,"href":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/wp-json\/wp\/v2\/posts\/2159\/revisions"}],"wp:attachment":[{"href":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/wp-json\/wp\/v2\/media?parent=2159"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/wp-json\/wp\/v2\/categories?post=2159"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/wp-json\/wp\/v2\/tags?post=2159"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}