[{"data":1,"prerenderedAt":524},["ShallowReactive",2],{"/en-us/the-source/ai/your-enterprise-ai-stack-needs-air-traffic-control":3,"footer-en-us":51,"the-source-banner-en-us":385,"the-source-navigation-en-us":391,"article-site-categories-en-us":414,"the-source-newsletter-en-us":416,"your-enterprise-ai-stack-needs-air-traffic-control-article-hero-category-en-us":424,"your-enterprise-ai-stack-needs-air-traffic-control-the-source-source-cta-en-us":450,"your-enterprise-ai-stack-needs-air-traffic-control-article-hero-author-en-us":460,"your-enterprise-ai-stack-needs-air-traffic-control-category-en-us":484,"your-enterprise-ai-stack-needs-air-traffic-control-the-source-resources-en-us":497},{"id":4,"title":5,"body":6,"category":7,"config":8,"content":14,"description":6,"extension":41,"meta":42,"navigation":43,"path":44,"seo":45,"slug":47,"stem":48,"type":49,"__hash__":50},"theSource/en-us/the-source/ai/your-enterprise-ai-stack-needs-air-traffic-control.yml","Your Enterprise Ai Stack Needs Air Traffic Control",null,"ai",{"layout":9,"template":10,"featured":11,"author":12,"sourceCTA":13},"the-source","TheSourceArticle",false,"brian-wald","source-lp-enterprise-guide-to-agentic-ai",{"date":15,"title":16,"description":17,"timeToRead":18,"heroImage":19,"keyTakeaways":20,"articleBody":24,"faq":25},"2026-04-29","Your enterprise AI stack needs air traffic control","AI tools are multiplying faster than enterprise governance can keep up. Here's how platform orchestration supports innovation and security.","5 min read","https://res.cloudinary.com/about-gitlab-com/image/upload/v1776457632/llddiylsgwuze0u1rjks.png",[21,22,23],"AI tool sprawl is costing DevSecOps teams nearly a full workday every week. The AI point solutions drain productivity and create shadow AI risks faster than enterprise governance can resolve.","Vibe coding works for individuals but breaks down at enterprise scale, where legacy systems, compliance requirements, and non-deterministic AI outputs build, creating significant risk.","A platform approach acts as air traffic control for AI development, giving developers freedom to experiment while enforcing consistent security and compliance standards across the software lifecycle.","If you’re a CIO today, it might feel like you're walking a tight rope. On one hand your developers want to experiment with the latest AI coding tools. Every week brings a new model, agent, or tool promising unparalleled productivity gains. On the other hand, you have to weigh the security and compliance complications of adding a new tool. Which ones do you approve? And how do you make those decisions knowing that the landscape will look completely different in three months?\n\nTwo distinct approaches are emerging in response: \n\n1. Startups and small teams are optimizing for speed, rapidly adopting the tools that promise the fastest path to market.   \n2. Enterprises are focused on data privacy, sovereignty, and compliance, which are governance capabilities necessary to their operations.\n\nThe tension between these approaches creates a dilemma. You can’t keep changing your entire stack every few months, but standing still means falling behind competitors who are moving faster.\n\n## The challenges with AI point solutions\n\nWhen it comes to AI tools, there are too many, and DevSecOps professionals don’t have enough control over them.\n\n[Recent data](https://ir.gitlab.com/news/news-details/2025/GitLab-Survey-Reveals-the-AI-Paradox-Faster-Coding-Creates-New-Bottlenecks-Requiring-Platform-Solutions/default.aspx) shows that 60% of development teams use more than five tools for software development, and 49% use more than five AI tools. The cost of this fragmentation is staggering. DevSecOps professionals lose seven hours per week to disconnected workflows and context-switching between platforms.\n\nIn addition to lost productivity, organizations are struggling with shadow AI as more teams adopt AI tools under the radar of the IT team. This leads to a variety of governance and compliance issues from breaches of your intellectual property to customer data leaks. \n\nRestricting tool adoption seems like the obvious fix. Mandate a single approved stack and move on. But that approach fails in practice. Developers use the tools they prefer regardless of policy. Shadow IT has evolved into shadow AI, so how do you [govern the adoption of AI tools](https://about.gitlab.com/the-source/ai/software-development-enters-the-orchestration-era/)? How do you decide who or what plays air traffic control?\n\n### Vibe coding from an enterprise perspective\n\nWith enough prompting, anyone can create functional code, translating business requirements into working applications through natural language. This makes programming so much more accessible to those without an engineering background, but 73% of organizations have already experienced significant problems with the [vibe coding approach](https://about.gitlab.com/the-source/ai/from-vibe-coding-to-agentic-ai-a-roadmap-for-technical-leaders/).\n\nLLMs are non-deterministic. The same prompt can produce different outputs, creating validation challenges that simply didn't exist with traditional development tools. AI can optimize the solution it’s given, but only humans can assess whether it's the right solution to the right problem.\n\nEnterprise development adds another layer of complexity. Pre-existing codebases spanning millions of lines, strict compliance requirements, legacy integrations, and layered security protocols all make AI less effective. A seemingly minor change in one line of code can ripple through interconnected systems in ways that even experienced developers struggle to predict.\n\n### The AI paradox: Creating bottlenecks it was supposed to eliminate\n\nAI helps developers write more code faster, which leads to more reviews, more tests to run, more surface area to protect, and more technical debt to manage. This is the scale trap or the AI paradox. AI accelerates one part of the development lifecycle while creating bottlenecks everywhere else. And as code complexity increases, the very speed and accuracy that made AI attractive in the first place begins to decline, creating a vicious cycle where teams move faster only to slow down.\n\n## Treating your platform as air traffic control\n\nThe governance crisis is real and getting worse. Seventy percent of organizations report that AI is making compliance management more challenging, not easier. No individual tool can solve this — point solutions lack the visibility and control needed to enforce consistent standards across the entire software development lifecycle. \n\nWhat’s needed is a platform that functions as an air traffic controller, ensuring every vehicle follows the rules while still allowing pilots to choose their preferred route.\n\nIn practice, this looks like:\n\n* **Single point of control**: Every piece of code, regardless of which AI tool generated it, flows through a unified platform that consistently applies your organization’s policies.  \n* **Comprehensive context**: The platform gives AI agents project plans, test suites, compliance checks, security scans, and the complete picture across your SDLC. With this context, agents have the full context to operate effectively.  \n* **Validated outputs at scale**: Non-deterministic AI outputs require consistent quality checks. A platform approach builds these validation loops into workflows, catching issues before they reach production.  \n* **Data privacy by design**: Enterprise data requirements are addressed at the platform level so your code and intellectual property stay under your control, not training models for someone else.  \n* **Provider-agnostic developer freedom (within guardrails)**: Developers use their preferred tools and experiment with new technologies, while the platform ensures everything meets enterprise standards.\n\n## Building for constant change with a platform approach\n\nEnterprises that build [orchestration infrastructure](https://about.gitlab.com/the-source/ai/software-development-enters-the-orchestration-era/) now will be better able to scale AI and adopt new tools as capabilities evolve. Your developers will have the freedom to innovate and experiment while the organization gets assurance that security protocols are enforced, compliance requirements are met, and code quality is consistent regardless of origin.\n\nSomeone needs to play the role of air traffic control in the AI development landscape. You have the choice of implementing that control through a platform approach that enables innovation, or through restrictions that drive development underground into shadow IT operations.\n\nThe future belongs to enterprises that can move fast without breaking things, that promote developer creativity within clear guardrails, and treat platform orchestration as the foundation for sustainable innovation. The organizations that build this foundation today will define the next era of software development.",[26,29,32,35,38],{"header":27,"content":28},"What is the AI paradox in enterprise software development?","The AI paradox refers to how AI accelerates code creation while creating bottlenecks everywhere else in the development lifecycle. Faster code generation leads to more reviews, tests, security checks, and technical debt, ultimately slowing teams down rather than speeding them up.",{"header":30,"content":31},"How much productivity do DevSecOps teams lose to AI tool sprawl?","DevSecOps professionals lose roughly seven hours per week—nearly a full workday—to disconnected workflows and context-switching between platforms. With 60% of development teams using more than five tools and 49% using more than five AI tools, fragmentation is a major productivity drain.",{"header":33,"content":34},"Why does vibe coding fail at enterprise scale?","Vibe coding breaks down at enterprise scale because LLMs are non-deterministic, producing different outputs from identical prompts. Combined with legacy codebases, compliance requirements, and layered security protocols, this creates validation challenges. 73% of organizations have already experienced significant problems with vibe coding.",{"header":36,"content":37},"What is shadow AI and why is it a governance risk?","Shadow AI occurs when teams adopt AI tools without IT oversight, evolving from traditional shadow IT. It creates governance and compliance issues including intellectual property breaches and customer data leaks. 70% of organizations report AI is making compliance management more challenging, not easier.",{"header":39,"content":40},"How does a platform approach act as air traffic control for AI development?","A platform approach provides a single point of control where all code flows through unified policies, regardless of which AI tool generated it. It delivers comprehensive SDLC context to AI agents, builds validation loops for non-deterministic outputs, ensures data privacy by design, and maintains provider-agnostic developer freedom within guardrails.","yml",{},true,"/en-us/the-source/ai/your-enterprise-ai-stack-needs-air-traffic-control",{"config":46,"title":16,"description":17},{"noIndex":11},"your-enterprise-ai-stack-needs-air-traffic-control","en-us/the-source/ai/your-enterprise-ai-stack-needs-air-traffic-control","article","toc4oBRwyxpiKuWyko939umPzbwy_F7aaNVBzBh0700",{"data":52},{"text":53,"source":54,"edit":60,"contribute":65,"config":70,"items":75,"minimal":374},"Git is a trademark of Software Freedom Conservancy and our use of 'GitLab' is under license",{"text":55,"config":56},"View page source",{"href":57,"dataGaName":58,"dataGaLocation":59},"https://gitlab.com/gitlab-com/marketing/digital-experience/about-gitlab-com/","page source","footer",{"text":61,"config":62},"Edit this page",{"href":63,"dataGaName":64,"dataGaLocation":59},"https://gitlab.com/gitlab-com/marketing/digital-experience/about-gitlab-com/-/blob/main/content/","web ide",{"text":66,"config":67},"Please contribute",{"href":68,"dataGaName":69,"dataGaLocation":59},"https://gitlab.com/gitlab-com/marketing/digital-experience/about-gitlab-com/-/blob/main/CONTRIBUTING.md/","please contribute",{"twitter":71,"facebook":72,"youtube":73,"linkedin":74},"https://twitter.com/gitlab","https://www.facebook.com/gitlab","https://www.youtube.com/channel/UCnMGQ8QHMAnVIsI3xJrihhg","https://www.linkedin.com/company/gitlab-com",[76,133,190,249,312],{"title":77,"links":78,"subMenu":94},"Pricing",[79,84,89],{"text":80,"config":81},"View plans",{"href":82,"dataGaName":83,"dataGaLocation":59},"/pricing/","view plans",{"text":85,"config":86},"Why Premium?",{"href":87,"dataGaName":88,"dataGaLocation":59},"/pricing/premium/","why premium",{"text":90,"config":91},"Why Ultimate?",{"href":92,"dataGaName":93,"dataGaLocation":59},"/pricing/ultimate/","why ultimate",[95],{"title":96,"links":97},"Contact Us",[98,103,108,113,118,123,128],{"text":99,"config":100},"Contact sales",{"href":101,"dataGaName":102,"dataGaLocation":59},"/sales/","sales",{"text":104,"config":105},"Support portal",{"href":106,"dataGaName":107,"dataGaLocation":59},"https://support.gitlab.com","support portal",{"text":109,"config":110},"Customer portal",{"href":111,"dataGaName":112,"dataGaLocation":59},"https://customers.gitlab.com/customers/sign_in/","customer portal",{"text":114,"config":115},"Status",{"href":116,"dataGaName":117,"dataGaLocation":59},"https://status.gitlab.com/","status",{"text":119,"config":120},"Terms of use",{"href":121,"dataGaName":122,"dataGaLocation":59},"/terms/","terms of use",{"text":124,"config":125},"Privacy statement",{"href":126,"dataGaName":127,"dataGaLocation":59},"/privacy/","privacy statement",{"text":129,"config":130},"Cookie preferences",{"dataGaName":131,"dataGaLocation":59,"id":132,"isOneTrustButton":43},"cookie preferences","ot-sdk-btn",{"title":134,"links":135,"subMenu":146},"Product",[136,141],{"text":137,"config":138},"DevSecOps platform",{"href":139,"dataGaName":140,"dataGaLocation":59},"/platform/","devsecops platform",{"text":142,"config":143},"AI-Assisted Development",{"href":144,"dataGaName":145,"dataGaLocation":59},"/gitlab-duo-agent-platform/","ai-assisted development",[147],{"title":148,"links":149},"Topics",[150,155,160,165,170,175,180,185],{"text":151,"config":152},"CICD",{"href":153,"dataGaName":154,"dataGaLocation":59},"/topics/ci-cd/","cicd",{"text":156,"config":157},"GitOps",{"href":158,"dataGaName":159,"dataGaLocation":59},"/topics/gitops/","gitops",{"text":161,"config":162},"DevOps",{"href":163,"dataGaName":164,"dataGaLocation":59},"/topics/devops/","devops",{"text":166,"config":167},"Version Control",{"href":168,"dataGaName":169,"dataGaLocation":59},"/topics/version-control/","version control",{"text":171,"config":172},"DevSecOps",{"href":173,"dataGaName":174,"dataGaLocation":59},"/topics/devsecops/","devsecops",{"text":176,"config":177},"Cloud Native",{"href":178,"dataGaName":179,"dataGaLocation":59},"/topics/cloud-native/","cloud native",{"text":181,"config":182},"AI for Coding",{"href":183,"dataGaName":184,"dataGaLocation":59},"/topics/devops/ai-for-coding/","ai for coding",{"text":186,"config":187},"Agentic AI",{"href":188,"dataGaName":189,"dataGaLocation":59},"/topics/agentic-ai/","agentic ai",{"title":191,"links":192},"Solutions",[193,197,202,207,212,216,221,224,229,234,239,244],{"text":194,"config":195},"Application Security Testing",{"href":196,"dataGaName":194,"dataGaLocation":59},"/solutions/application-security-testing/",{"text":198,"config":199},"Automated software delivery",{"href":200,"dataGaName":201,"dataGaLocation":59},"/solutions/delivery-automation/","automated software delivery",{"text":203,"config":204},"Agile development",{"href":205,"dataGaName":206,"dataGaLocation":59},"/solutions/agile-delivery/","agile delivery",{"text":208,"config":209},"SCM",{"href":210,"dataGaName":211,"dataGaLocation":59},"/solutions/source-code-management/","source code management",{"text":151,"config":213},{"href":214,"dataGaName":215,"dataGaLocation":59},"/solutions/continuous-integration/","continuous integration & delivery",{"text":217,"config":218},"Value stream management",{"href":219,"dataGaName":220,"dataGaLocation":59},"/solutions/value-stream-management/","value stream management",{"text":156,"config":222},{"href":223,"dataGaName":159,"dataGaLocation":59},"/solutions/gitops/",{"text":225,"config":226},"Enterprise",{"href":227,"dataGaName":228,"dataGaLocation":59},"/enterprise/","enterprise",{"text":230,"config":231},"Small business",{"href":232,"dataGaName":233,"dataGaLocation":59},"/small-business/","small business",{"text":235,"config":236},"Public sector",{"href":237,"dataGaName":238,"dataGaLocation":59},"/solutions/public-sector/","public sector",{"text":240,"config":241},"Education",{"href":242,"dataGaName":243,"dataGaLocation":59},"/solutions/education/","education",{"text":245,"config":246},"Financial services",{"href":247,"dataGaName":248,"dataGaLocation":59},"/solutions/finance/","financial services",{"title":250,"links":251},"Resources",[252,257,262,267,272,277,282,287,292,297,302,307],{"text":253,"config":254},"Install",{"href":255,"dataGaName":256,"dataGaLocation":59},"/install/","install",{"text":258,"config":259},"Quick start guides",{"href":260,"dataGaName":261,"dataGaLocation":59},"/get-started/","quick setup checklists",{"text":263,"config":264},"Learn",{"href":265,"dataGaName":266,"dataGaLocation":59},"https://university.gitlab.com/","learn",{"text":268,"config":269},"Product documentation",{"href":270,"dataGaName":271,"dataGaLocation":59},"https://docs.gitlab.com/","docs",{"text":273,"config":274},"Blog",{"href":275,"dataGaName":276,"dataGaLocation":59},"/blog/","blog",{"text":278,"config":279},"Customer success stories",{"href":280,"dataGaName":281,"dataGaLocation":59},"/customers/","customer success stories",{"text":283,"config":284},"Remote",{"href":285,"dataGaName":286,"dataGaLocation":59},"https://handbook.gitlab.com/handbook/company/culture/all-remote/","remote",{"text":288,"config":289},"GitLab Services",{"href":290,"dataGaName":291,"dataGaLocation":59},"/services/","services",{"text":293,"config":294},"Community",{"href":295,"dataGaName":296,"dataGaLocation":59},"/community/","community",{"text":298,"config":299},"Forum",{"href":300,"dataGaName":301,"dataGaLocation":59},"https://forum.gitlab.com/","forum",{"text":303,"config":304},"Events",{"href":305,"dataGaName":306,"dataGaLocation":59},"/events/","events",{"text":308,"config":309},"Partners",{"href":310,"dataGaName":311,"dataGaLocation":59},"/partners/","partners",{"title":313,"links":314},"Company",[315,320,325,330,335,340,345,349,354,359,364,369],{"text":316,"config":317},"About",{"href":318,"dataGaName":319,"dataGaLocation":59},"/company/","company",{"text":321,"config":322},"Jobs",{"href":323,"dataGaName":324,"dataGaLocation":59},"/jobs/","jobs",{"text":326,"config":327},"Leadership",{"href":328,"dataGaName":329,"dataGaLocation":59},"/company/team/e-group/","leadership",{"text":331,"config":332},"Team",{"href":333,"dataGaName":334,"dataGaLocation":59},"/company/team/","team",{"text":336,"config":337},"Handbook",{"href":338,"dataGaName":339,"dataGaLocation":59},"https://handbook.gitlab.com/","handbook",{"text":341,"config":342},"Investor relations",{"href":343,"dataGaName":344,"dataGaLocation":59},"https://ir.gitlab.com/","investor relations",{"text":346,"config":347},"Sustainability",{"href":348,"dataGaName":346,"dataGaLocation":59},"/sustainability/",{"text":350,"config":351},"Diversity, inclusion and belonging (DIB)",{"href":352,"dataGaName":353,"dataGaLocation":59},"/diversity-inclusion-belonging/","Diversity, inclusion and belonging",{"text":355,"config":356},"Trust Center",{"href":357,"dataGaName":358,"dataGaLocation":59},"/security/","trust center",{"text":360,"config":361},"Newsletter",{"href":362,"dataGaName":363,"dataGaLocation":59},"/company/contact/#contact-forms","newsletter",{"text":365,"config":366},"Press",{"href":367,"dataGaName":368,"dataGaLocation":59},"/press/","press",{"text":370,"config":371},"Modern Slavery Transparency Statement",{"href":372,"dataGaName":373,"dataGaLocation":59},"https://handbook.gitlab.com/handbook/legal/modern-slavery-act-transparency-statement/","modern slavery transparency statement",{"items":375},[376,379,382],{"text":377,"config":378},"Terms",{"href":121,"dataGaName":122,"dataGaLocation":59},{"text":380,"config":381},"Cookies",{"dataGaName":131,"dataGaLocation":59,"id":132,"isOneTrustButton":43},{"text":383,"config":384},"Privacy",{"href":126,"dataGaName":127,"dataGaLocation":59},{"visibility":43,"title":386,"button":387},"The Intelligent Software Development Era: How AI is reshaping DevSecOps teams",{"config":388,"text":390},{"href":389},"/resources/developer-survey/","Get the research report",{"logo":392,"subscribeLink":397,"navItems":401},{"altText":393,"config":394},"the source logo",{"src":395,"href":396},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1750191004/t7wz1klfb2kxkezksv9t.svg","/the-source/",{"text":398,"config":399},"Subscribe",{"href":400},"#subscribe",[402,406,410],{"text":403,"config":404},"Artificial Intelligence",{"href":405},"/the-source/ai/",{"text":407,"config":408},"Security & Compliance",{"href":409},"/the-source/security/",{"text":411,"config":412},"Platform & Infrastructure",{"href":413},"/the-source/platform/",{"categoryNames":415},{"ai":403,"platform":411,"security":407},{"title":417,"description":418,"submitMessage":419,"formData":420},"The Source Newsletter","Stay updated with insights for the future of software development.","You have successfully signed up for The Source’s newsletter.",{"config":421},{"formId":422,"skeletonFieldCount":423,"formName":363,"hideRequiredLabel":43},1077,3,{"id":425,"title":426,"body":6,"category":6,"config":427,"content":428,"description":6,"extension":41,"meta":444,"navigation":43,"path":445,"seo":446,"slug":7,"stem":447,"testContent":6,"type":448,"__hash__":449},"pages/en-us/the-source/ai/index.yml","",{"layout":9},[429,436],{"componentName":430,"type":430,"componentContent":431},"TheSourceCategoryHero",{"title":403,"description":432,"image":433},"Explore expert insights on how AI is transforming software development, and how organizations can get the most out of their AI investments.",{"config":434},{"src":435},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463300/eoudcbj5aoucl0spsp0c.png",{"componentName":437,"type":437,"componentContent":438},"TheSourceCategoryMainSection",{"config":439},{"sourceCTAs":440},[441,442,443],"source-lp-how-to-get-started-using-ai-in-software-development","navigating-ai-maturity-in-devsecops","source-lp-ai-guide-for-enterprise-leaders-building-the-right-approach",{},"/en-us/the-source/ai",{"title":403,"description":432,"ogImage":435},"en-us/the-source/ai/index","category","wtQi5a4Yy8rZpv9pRFgz-LgiIdSY188tyR5WwsQyl-w",{"config":451,"title":452,"description":453,"link":454,"slug":459},{"slug":13},"The enterprise guide to agentic AI","Discover how agentic AI revolutionizes enterprise software development. Learn to achieve 10x productivity gains while reducing costs and security risks.",{"text":455,"config":456},"Read the guide",{"href":457,"dataGaLocation":458,"dataGaName":452},"/the-source/ai/transform-development-with-agentic-ai-the-enterprise-guide/","thesource","the-enterprise-guide-to-agentic-ai",{"id":461,"title":462,"body":6,"category":6,"config":463,"content":464,"description":6,"extension":41,"meta":478,"navigation":43,"path":479,"seo":480,"slug":12,"stem":481,"testContent":6,"type":482,"__hash__":483},"theSourceAuthors/en-us/the-source/authors/brian-wald.yml","Brian Wald",{"layout":9},[465,476],{"componentName":466,"type":466,"componentContent":467},"TheSourceAuthorHero",{"config":468,"name":462,"role":471,"bio":472,"headshot":473},{"gitlabHandle":469,"linkedInProfileUrl":470},"brianwald","https://www.linkedin.com/in/brianwald/","Head of Global Field CTO org","Brian Wald is Head of Global Field CTO org at GitLab. He leads a dynamic team of Field CTOs dedicated to transforming enterprise software development practices.",{"altText":462,"config":474},{"src":475},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463417/fugpbux9miqbdx3wewtu.jpg",{"componentName":477,"type":477},"TheSourceArticlesList",{},"/en-us/the-source/authors/brian-wald",{"title":462},"en-us/the-source/authors/brian-wald","author","xMN9kqHPA7rbb_OhNCWA9tUGAPLCh9L7auCkxTtS0zs",{"id":425,"title":426,"body":6,"category":6,"config":485,"content":486,"description":6,"extension":41,"meta":495,"navigation":43,"path":445,"seo":496,"slug":7,"stem":447,"testContent":6,"type":448,"__hash__":449},{"layout":9},[487,491],{"componentName":430,"type":430,"componentContent":488},{"title":403,"description":432,"image":489},{"config":490},{"src":435},{"componentName":437,"type":437,"componentContent":492},{"config":493},{"sourceCTAs":494},[441,442,443],{},{"title":403,"description":432,"ogImage":435},[498,507,515],{"config":499,"title":500,"description":501,"link":502},{"slug":442},"Navigating 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":503,"config":504},"Read the report",{"href":505,"dataGaName":506,"dataGaLocation":458},"/resources/developer-survey/2024/ai/","Navigating AI Maturity in DevSecOps",{"config":508,"title":509,"description":510,"link":511},{"slug":443},"AI guide for enterprise leaders: Building the right approach","Download our guide for enterprise leaders to learn how to prepare your C-suite, executive leadership, and development teams for what AI can do today — and will do in the near future — to accelerate software development.",{"text":455,"config":512},{"href":513,"dataGaName":514,"dataGaLocation":458},"/the-source/ai/ai-guide-for-enterprise-leaders-building-the-right-approach/","AI Guide For Enterprise Leaders: Building the Right Approach",{"config":516,"title":517,"description":518,"link":519},{"slug":441},"How to get started using AI in software development","Learn how to strategically implement AI to boost efficiency, security, and reduce context switching. Empower every member of your team with AI capabilities.",{"text":520,"config":521},"Download the guide",{"href":522,"dataGaName":523,"dataGaLocation":458},"/the-source/ai/getting-started-with-ai-in-software-development-a-guide-for-leaders/","How to Get Started Using AI in Software Development",1777493620148]