[{"data":1,"prerenderedAt":1119},["ShallowReactive",2],{"/en-us/the-source/ai/ai-trends-for-2025-agentic-ai-self-hosted-models-and-more":3,"footer-en-us":50,"the-source-banner-en-us":357,"the-source-navigation-en-us":369,"the-source-newsletter-en-us":397,"footer-source-/en-us/the-source/ai/ai-trends-for-2025-agentic-ai-self-hosted-models-and-more/":408,"article-site-categories-en-us":419,"ai-trends-for-2025-agentic-ai-self-hosted-models-and-more-article-hero-category-en-us":421,"ai-trends-for-2025-agentic-ai-self-hosted-models-and-more-the-source-source-cta-en-us":445,"ai-trends-for-2025-agentic-ai-self-hosted-models-and-more-category-en-us":460,"ai-trends-for-2025-agentic-ai-self-hosted-models-and-more-the-source-resources-en-us":472,"ai-trends-for-2025-agentic-ai-self-hosted-models-and-more-article-hero-author-en-us":511},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"config":8,"seo":13,"content":17,"type":41,"slug":42,"category":5,"_id":43,"_type":44,"title":45,"_source":46,"_file":47,"_stem":48,"_extension":49},"/en-us/the-source/ai/ai-trends-for-2025-agentic-ai-self-hosted-models-and-more","ai",false,"",{"layout":9,"template":10,"author":11,"featured":6,"sourceCTA":12},"the-source","TheSourceArticle","emilio-salvador","source-lp-getting-started-with-ai-in-software-development-a-guide-for-leaders",{"title":14,"description":15,"ogImage":16},"Agentic AI, self-hosted models, and more: AI trends for 2025","Discover key trends in AI for software development, from on-premises model deployments to intelligent, adaptive AI agents.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1751464096/twyszwpyraghcxz1bruy.png",{"title":14,"date":18,"description":15,"timeToRead":19,"heroImage":16,"keyTakeaways":20,"articleBody":24,"faq":25},"2024-12-18","3 min read",[21,22,23],"Artificial intelligence is already having a major impact on software development, enhancing code quality and efficiency by removing a wide range of tasks.","Software developers will work alongside AI agents that will facilitate real-time problem solving, rapid optimization of application performance, and overall improvement in software quality, enabling developers to concentrate on strategic decision-making.","Increased use of on-premises AI deployments, particularly in regulated industries, will give companies more control over data privacy and security, as well as the ability to customize their software according to individual needs.","According to [GitLab's 2024 research](https://about.gitlab.com/developer-survey/), 78% of organizations will use artificial intelligence in their software development processes within the next two years - a dramatic shift that's already transforming how teams build and deliver software. The research also shows that the number of organizations actively using AI has jumped from 23% to 39% in the last year alone.\n\nAs software development teams race to integrate AI into their workflows, major shifts are emerging that will fundamentally change how we build software. From intelligent AI agents that adapt in real time to the rise of customized on-premises models, here are three ways AI will significantly alter software development.\n\n## The future of applications is intelligent, adaptive AI agents\nWhile the first wave of AI in software development focused on reactive code assistants for code generation and completion, the future belongs to agentic AI. [Intelligent, adaptable AI agents](https://about.gitlab.com/blog/meet-gitlab-duo-workflow-the-future-of-ai-driven-development/) will surpass the limitations of traditional software. Rather than interacting with fixed interfaces and preset workflows, users will engage with AI agents that respond intuitively and learn over time.\n\nThese AI-powered agents will serve as the application, providing a more interactive and conversational experience. As AI agents can perform complex tasks, offer guidance, and learn from interactions in real time, agentic AI will lead to significantly more personalized and responsive applications, fundamentally reshaping how we use software.\n\n## AI assistants will evolve to become proactive collaborators\n[AI assistants are getting smarter](https://about.gitlab.com/gartner-mq-ai-code-assistants/), moving beyond reactive prompt-based interactions to proactive problem-solvers. As part of this evolution, AI-powered tools will become central hubs for development, anticipating developers’ needs and offering real-time suggestions for optimizing application performance, security, and maintenance. This new generation of AI assistants will tackle complex projects and tasks with little human interaction, accelerating the software development process. This shift will streamline the entire software development lifecycle, making it more accessible through a simple user interface.\n\nThe role of software developers will evolve alongside these advancements. AI will not replace human developers but will augment their capabilities, allowing them to focus on what they love most: solving complex technical problems. By automating routine tasks and providing expert guidance, AI assistants will empower developers to delve deeper into business problem-solving, continuously improve code quality, and explore new technologies and skills.\n\n## More companies will run customized models on-premises\nIn 2025, organizations will shift toward smaller and more specialized AI deployments. As open source models become more cost-effective and accessible, teams will increasingly opt to run customized versions within their own data centers. As a result, it will be cheaper, faster, and easier for organizations to [host their own large language models and fine-tune them to their individual needs](https://about.gitlab.com/releases/2024/10/17/gitlab-17-5-released/#use-self-hosted-model-for-gitlab-duo-code-suggestions). Companies will find they can combine their data with existing models and tailor the customer experience at a fraction of today’s costs.\n\nMeanwhile, increased compliance risks associated with AI will drive regulated industries - like financial institutions and government agencies - to deploy models in air-gapped environments for reduced latency and greater control over data privacy and security.\n\n## Conclusion\nThe future of software development is inextricably linked to AI. These technologies are transforming how software is created, delivered, and maintained. By embracing AI in all its forms - from generative AI to proactive AI assistants to fully autonomous AI agents - organizations can gain a competitive edge, improve efficiency, and deliver innovative solutions that meet customers’ evolving needs.\n\nThis transformation requires thoughtful preparation: strategic planning, investment in talent and infrastructure, and a commitment to continuous learning and adaptation. Organizations that successfully navigate this evolving landscape will be well-positioned to thrive in the digital age.\n",[26,29,32,35,38],{"header":27,"content":28},"Why are companies moving toward self-hosted AI models?","Organizations are shifting toward self-hosted AI models to enhance data privacy, reduce costs, and customize AI solutions for their specific needs. With advancements in open-source AI, companies can fine-tune models in on-premises environments, ensuring compliance with regulations and improving performance while maintaining control over sensitive data.",{"header":30,"content":31},"What are the benefits of running AI models in on-premises environments?","Deploying AI models on-premises offers organizations greater control over data security, improved compliance with regulatory requirements, and reduced latency. This approach is particularly valuable for industries handling sensitive data, such as finance, healthcare, and government agencies.",{"header":33,"content":34},"How are AI-powered coding assistants evolving?","AI coding assistants are transitioning from reactive tools to proactive collaborators. Future AI assistants will anticipate developer needs, provide intelligent recommendations, automate complex tasks, and enhance software security, ultimately making software development more efficient and accessible.",{"header":36,"content":37},"How can organizations prepare for AI-driven software development in 2025?","To successfully adopt AI-driven development, companies should invest in AI infrastructure, upskill developers, implement responsible AI governance, and explore hybrid AI solutions that balance cloud and on-premises deployment. Staying informed about AI trends will help teams leverage AI for innovation and efficiency.",{"header":39,"content":40},"What is agentic AI, and how will it impact software development?","Agentic AI refers to AI systems that operate autonomously, learning from interactions and adapting in real time. Unlike traditional AI coding assistants that react to prompts, agentic AI acts proactively, streamlining software development by automating workflows, improving efficiency, and personalizing user experiences.","article","ai-trends-for-2025-agentic-ai-self-hosted-models-and-more","content:en-us:the-source:ai:ai-trends-for-2025-agentic-ai-self-hosted-models-and-more.yml","yaml","Ai Trends For 2025 Agentic Ai Self Hosted Models And More","content","en-us/the-source/ai/ai-trends-for-2025-agentic-ai-self-hosted-models-and-more.yml","en-us/the-source/ai/ai-trends-for-2025-agentic-ai-self-hosted-models-and-more","yml",{"_path":51,"_dir":52,"_draft":6,"_partial":6,"_locale":7,"data":53,"_id":353,"_type":44,"title":354,"_source":46,"_file":355,"_stem":356,"_extension":49},"/shared/en-us/main-footer","en-us",{"text":54,"source":55,"edit":61,"contribute":66,"config":71,"items":76,"minimal":345},"Git is a trademark of Software Freedom Conservancy and our use of 'GitLab' is under 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expert insights on how AI is transforming software development, and how organizations can get the most out of their AI 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AI maturity in DevSecOps","Read our survey findings from more than 5,000 DevSecOps professionals worldwide for insights on how organizations are incorporating AI into the software development lifecycle.",{"text":479,"config":480},"Read the report",{"href":481,"dataGaName":482,"dataGaLocation":456},"/developer-survey/2024/ai/","Navigating AI Maturity in DevSecOps","content:shared:en-us:the-source:source-lp-ctas:navigating-ai-maturity-in-devsecops.yml","shared/en-us/the-source/source-lp-ctas/navigating-ai-maturity-in-devsecops.yml","shared/en-us/the-source/source-lp-ctas/navigating-ai-maturity-in-devsecops",{"_path":487,"_dir":447,"_draft":6,"_partial":6,"_locale":7,"config":488,"title":489,"description":490,"link":491,"_id":496,"_type":44,"_source":46,"_file":497,"_stem":498,"_extension":49},"/shared/en-us/the-source/source-lp-ctas/source-lp-ai-guide-for-enterprise-leaders-building-the-right-approach",{"slug":441},"AI guide for enterprise leaders: Building the right approach","Download 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Lee has been a software architect, teacher, professor, and educator for over 25 years. He leverages his experience as an educator to bring complex technology concepts into a business forum where executives gain valuable advice to positively impact their business.",{"altText":968,"config":977},{"src":978},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463398/vivhlomglvnstamj54bo.jpg",{"componentName":531,"type":531},"lee-faus","content:en-us:the-source:authors:lee-faus.yml","en-us/the-source/authors/lee-faus.yml","en-us/the-source/authors/lee-faus",{"_path":985,"_dir":514,"_draft":6,"_partial":6,"_locale":7,"config":986,"seo":987,"content":989,"type":532,"slug":993,"_id":998,"_type":44,"title":999,"_source":46,"_file":1000,"_stem":1001,"_extension":49},"/en-us/the-source/authors/ncregan",{"layout":9},{"title":988},"Niall Cregan",[990,997],{"componentName":520,"type":520,"componentContent":991},{"config":992,"name":988,"headshot":994},{"gitlabHandle":993},"ncregan",{"altText":988,"config":995},{"src":996},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463431/yrtwodocb4cu3j7lkhyo.png",{"componentName":531,"type":531},"content:en-us:the-source:authors:ncregan.yml","Ncregan","en-us/the-source/authors/ncregan.yml","en-us/the-source/authors/ncregan",{"_path":1003,"_dir":514,"_draft":6,"_partial":6,"_locale":7,"config":1004,"seo":1005,"content":1007,"type":532,"slug":1018,"_id":1019,"_type":44,"title":1020,"_source":46,"_file":1021,"_stem":1022,"_extension":49},"/en-us/the-source/authors/rschulman",{"layout":9},{"title":1006},"Robin Schulman",[1008,1017],{"componentName":520,"type":520,"componentContent":1009},{"config":1010,"name":1006,"role":1012,"bio":1013,"headshot":1014},{"gitlabHandle":1011},"robin","Chief Legal Officer","Robin Schulman is the Chief Legal Officer, Head of Corporate Affairs, and Corporate Secretary of GitLab Inc., the DevSecOps platform.",{"altText":1006,"config":1015},{"src":1016},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463437/u2xfbudw1f8hhnkrgaoy.webp",{"componentName":531,"type":531},"rschulman","content:en-us:the-source:authors:rschulman.yml","Rschulman","en-us/the-source/authors/rschulman.yml","en-us/the-source/authors/rschulman",{"_path":1024,"_dir":514,"_draft":6,"_partial":6,"_locale":7,"config":1025,"seo":1026,"content":1028,"type":532,"slug":1037,"_id":1038,"_type":44,"title":1027,"_source":46,"_file":1039,"_stem":1040,"_extension":49},"/en-us/the-source/authors/sabrina-farmer",{"layout":9},{"title":1027},"Sabrina Farmer",[1029,1036],{"componentName":520,"type":520,"componentContent":1030},{"name":1027,"role":1031,"bio":1032,"headshot":1033},"Chief Technology Officer","Sabrina Farmer is the Chief Technology Officer at GitLab, where she leads software engineering, operations, and customer support teams to execute the company's technical vision and strategy and oversee the development and delivery of GitLab's products and services.\n\nPrior to GitLab, Sabrina spent nearly two decades at Google, where she most recently served as vice president of engineering, core infrastructure. During her tenure with Google, she was directly responsible for the reliability, performance, and efficiency of all of Google's billion-user products and infrastructure.\n\nA long-time advocate for women in technology, Farmer earned a B.S. in Computer Science at the University of New Orleans, where she established two scholarships to help level the playing field for inclusion and empowerment in technology.",{"altText":1027,"config":1034},{"src":1035},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463377/udmzbjjr5xrcrffdlphx.webp",{"componentName":531,"type":531},"sabrina-farmer","content:en-us:the-source:authors:sabrina-farmer.yml","en-us/the-source/authors/sabrina-farmer.yml","en-us/the-source/authors/sabrina-farmer",{"_path":1042,"_dir":514,"_draft":6,"_partial":6,"_locale":7,"config":1043,"seo":1044,"content":1046,"type":532,"slug":1056,"_id":1057,"_type":44,"title":1045,"_source":46,"_file":1058,"_stem":1059,"_extension":49},"/en-us/the-source/authors/sandra-gittlen",{"layout":9},{"title":1045},"Sandra Gittlen",[1047,1055],{"componentName":520,"type":520,"componentContent":1048},{"config":1049,"name":1045,"role":1051,"headshot":1052},{"gitlabHandle":1050},"sgittlen","Managing Editor, Blog",{"altText":1045,"config":1053},{"src":1054},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463466/r7ckb9h2zr4c2rsz3zlm.png",{"componentName":531,"type":531},"sandra-gittlen","content:en-us:the-source:authors:sandra-gittlen.yml","en-us/the-source/authors/sandra-gittlen.yml","en-us/the-source/authors/sandra-gittlen",{"_path":1061,"_dir":514,"_draft":6,"_partial":6,"_locale":7,"config":1062,"seo":1063,"content":1065,"type":532,"slug":1072,"_id":1073,"_type":44,"title":1064,"_source":46,"_file":1074,"_stem":1075,"_extension":49},"/en-us/the-source/authors/sharon-gaudin",{"layout":9},{"title":1064},"Sharon Gaudin",[1066,1071],{"componentName":520,"type":520,"componentContent":1067},{"name":1064,"headshot":1068},{"altText":1064,"config":1069},{"src":1070},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463475/h6j4nnvykzyfzgvl7txb.webp",{"componentName":531,"type":531},"sharon-gaudin","content:en-us:the-source:authors:sharon-gaudin.yml","en-us/the-source/authors/sharon-gaudin.yml","en-us/the-source/authors/sharon-gaudin",{"_path":1077,"_dir":514,"_draft":6,"_partial":6,"_locale":7,"config":1078,"seo":1079,"content":1081,"type":532,"slug":1093,"_id":1094,"_type":44,"title":1080,"_source":46,"_file":1095,"_stem":1096,"_extension":49},"/en-us/the-source/authors/stephen-walters",{"layout":9},{"title":1080},"Stephen Walters",[1082,1092],{"componentName":520,"type":520,"componentContent":1083},{"config":1084,"name":1080,"role":1087,"bio":1088,"headshot":1089},{"gitlabHandle":1085,"linkedInProfileUrl":1086},"swalters1","https://www.linkedin.com/in/1stephenwalters/","Field CTO, GitLab","Stephen Walters is Field CTO for GitLab. Stephen has been in the IT industry for over 30 years. He is an extensively experienced subject matter expert in Value Stream Management, DevSecOps, DevOps, ALM, SDLC and IT4IT, with management and consultancy experience across end-to-end IT disciplines. Currently also operating as an Ambassador for the DevOps Institute and an Influencer in the Value Stream Management Consortium, he is interested in all things DevOps. Stephen is a co-author of the Value Stream Reference Architectures white paper and is currently pursuing further research into Value Stream Management, Organizational Architecture and AI.",{"altText":1080,"config":1090},{"src":1091},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463392/g6ktk5qb4vcqc9wqjlf9.jpg",{"componentName":531,"type":531},"stephen-walters","content:en-us:the-source:authors:stephen-walters.yml","en-us/the-source/authors/stephen-walters.yml","en-us/the-source/authors/stephen-walters",{"_path":1098,"_dir":514,"_draft":6,"_partial":6,"_locale":7,"config":1099,"seo":1100,"content":1102,"type":532,"slug":1114,"_id":1115,"_type":44,"title":1116,"_source":46,"_file":1117,"_stem":1118,"_extension":49},"/en-us/the-source/authors/taylor-mccaslin",{"layout":9},{"title":1101},"Taylor McCaslin",[1103,1113],{"componentName":520,"type":520,"componentContent":1104},{"config":1105,"name":1101,"role":1108,"bio":1109,"headshot":1110},{"gitlabHandle":1106,"linkedInProfileUrl":1107},"tmccaslin","https://www.linkedin.com/in/taylormccaslin/","Group Manager, Product - Data Science","Taylor McCaslin is the Product Lead for AI/ML at GitLab, where he is responsible for leading the team of product managers who manage the AI Powered and ModelOps stage groups and sets the vision and direction for how to empower GitLab users to leverage data science as part of their DevOps program. Prior to joining GitLab, he held positions at Indeed, Duo Security, and WP Engine.",{"altText":1101,"config":1111},{"src":1112},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463427/trfasilaeasosxfcxmsm.jpg",{"componentName":531,"type":531},"taylor-mccaslin","content:en-us:the-source:authors:taylor-mccaslin.yml","Taylor Mccaslin","en-us/the-source/authors/taylor-mccaslin.yml","en-us/the-source/authors/taylor-mccaslin",1760039161633]