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color-fg-secondary mb-4">Set your business up for success with solutions to any number of common questions.</p><div class="d-flex flex-column flex-md-row mb-8 mb-lg-12"><a data-analytics-click="Homepage, click on Homepage" class="btn-mktg arrow-target-mktg btn-large-mktg mb-3 mb-md-0 mr-md-3" href="https://github.com/solutions/devsecops">Learn about DevSecOps<svg aria-hidden="true" role="presentation" xmlns="http://www.w3.org/2000/svg" class="octicon arrow-symbol-mktg" width="16" height="16" viewBox="0 0 16 16" fill="none"><path fill="currentColor" d="M7.28033 3.21967C6.98744 2.92678 6.51256 2.92678 6.21967 3.21967C5.92678 3.51256 5.92678 3.98744 6.21967 4.28033L7.28033 3.21967ZM11 8L11.5303 8.53033C11.8232 8.23744 11.8232 7.76256 11.5303 7.46967L11 8ZM6.21967 11.7197C5.92678 12.0126 5.92678 12.4874 6.21967 12.7803C6.51256 13.0732 6.98744 13.0732 7.28033 12.7803L6.21967 11.7197ZM6.21967 4.28033L10.4697 8.53033L11.5303 7.46967L7.28033 3.21967L6.21967 4.28033ZM10.4697 7.46967L6.21967 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11.7197L7.28033 12.7803L11.5303 8.53033L10.4697 7.46967Z"></path><path stroke="currentColor" d="M1.75 8H11" stroke-width="1.5" stroke-linecap="round"></path></svg></a></div><div class="Primer_Brand__Grid-module__Grid___q48mT" data-testid="Grid-:R23n6:" style="justify-items:center"><div class="Primer_Brand__Grid-module__Grid__column___HTpsw Primer_Brand__Grid-module__Grid__column--xsmall-span-12___brXS7 Primer_Brand__Grid-module__Grid__column--small-span-12___NdAWP Primer_Brand__Grid-module__Grid__column--medium-span-4___zBxBa"><div class="Primer_Brand__Card-module__Card__outer___QBN0D"><div class="Primer_Brand__Card-module__Card___ByGEk Primer_Brand__Card-module__Card--colorMode-light___LXDwj Primer_Brand__Card-module__Card--border___nNZlZ Primer_Brand__Card-module__Card--colorMode-light___LXDwj" data-ref="card-component-2U0TMcH6LxvJKJucSHXaaN"><h3 class="Primer_Brand__Heading-module__Heading___IVpmp Primer_Brand__Heading-module__Heading-font--mona-sans___SCnTx Primer_Brand__Heading-module__Heading--subhead-large____C6GZ Primer_Brand__Card-module__Card__heading___INFhp"><a href="/copilot-demo/" class="Primer_Brand__Card-module__Card__link___Ye5mq">Copilot</a></h3><p class="Primer_Brand__Text-module__Text___pecHN Primer_Brand__Text-module__Text-font--mona-sans___GpzSG Primer_Brand__Text-module__Text--muted___lTaVa Primer_Brand__Text-module__Text--200___XAIGT Primer_Brand__Card-module__Card__description___KN9CH">Bring the power of generative AI to engineering teams with GitHub Copilot. Learn how you can maximize developer velocity and innovation. </p><div class="Primer_Brand__Card-module__Card__action___C6sRY"><span class="Primer_Brand__Text-module__Text___pecHN Primer_Brand__Text-module__Text-font--mona-sans___GpzSG Primer_Brand__Text-module__Text--default___DChoE Primer_Brand__Text-module__Text--200___XAIGT Primer_Brand__Link-module__Link--label___j8etE">Read more about Copilot</span><svg class="Primer_Brand__ExpandableArrow-module__ExpandableArrow___rkfek Primer_Brand__Link-module__Link-arrow___HBMJ9" width="16" height="16" viewBox="0 0 16 16" fill="none" aria-hidden="true"><path fill="currentColor" d="M7.28033 3.21967C6.98744 2.92678 6.51256 2.92678 6.21967 3.21967C5.92678 3.51256 5.92678 3.98744 6.21967 4.28033L7.28033 3.21967ZM11 8L11.5303 8.53033C11.8232 8.23744 11.8232 7.76256 11.5303 7.46967L11 8ZM6.21967 11.7197C5.92678 12.0126 5.92678 12.4874 6.21967 12.7803C6.51256 13.0732 6.98744 13.0732 7.28033 12.7803L6.21967 11.7197ZM6.21967 4.28033L10.4697 8.53033L11.5303 7.46967L7.28033 3.21967L6.21967 4.28033ZM10.4697 7.46967L6.21967 11.7197L7.28033 12.7803L11.5303 8.53033L10.4697 7.46967Z"></path><path class="Primer_Brand__ExpandableArrow-module__ExpandableArrow-stem___g4mdy" stroke="currentColor" d="M1.75 8H11" stroke-width="1.5" stroke-linecap="round"></path></svg></div></div></div></div><div class="Primer_Brand__Grid-module__Grid__column___HTpsw Primer_Brand__Grid-module__Grid__column--xsmall-span-12___brXS7 Primer_Brand__Grid-module__Grid__column--small-span-12___NdAWP Primer_Brand__Grid-module__Grid__column--medium-span-4___zBxBa"><div class="Primer_Brand__Card-module__Card__outer___QBN0D"><div class="Primer_Brand__Card-module__Card___ByGEk Primer_Brand__Card-module__Card--colorMode-light___LXDwj Primer_Brand__Card-module__Card--border___nNZlZ Primer_Brand__Card-module__Card--colorMode-light___LXDwj" data-ref="card-component-1I3CedNV2FcIPItMiHu17F"><h3 class="Primer_Brand__Heading-module__Heading___IVpmp Primer_Brand__Heading-module__Heading-font--mona-sans___SCnTx Primer_Brand__Heading-module__Heading--subhead-large____C6GZ Primer_Brand__Card-module__Card__heading___INFhp"><a href="/security/what-is-github-advanced-security/" class="Primer_Brand__Card-module__Card__link___Ye5mq">Security</a></h3><p class="Primer_Brand__Text-module__Text___pecHN Primer_Brand__Text-module__Text-font--mona-sans___GpzSG Primer_Brand__Text-module__Text--muted___lTaVa Primer_Brand__Text-module__Text--200___XAIGT Primer_Brand__Card-module__Card__description___KN9CH">Stay one step ahead by shipping your software securely within GitHub: Identify and fix security issues directly in the developer flow.</p><div class="Primer_Brand__Card-module__Card__action___C6sRY"><span class="Primer_Brand__Text-module__Text___pecHN Primer_Brand__Text-module__Text-font--mona-sans___GpzSG Primer_Brand__Text-module__Text--default___DChoE Primer_Brand__Text-module__Text--200___XAIGT Primer_Brand__Link-module__Link--label___j8etE">Read more about Security</span><svg class="Primer_Brand__ExpandableArrow-module__ExpandableArrow___rkfek Primer_Brand__Link-module__Link-arrow___HBMJ9" width="16" height="16" viewBox="0 0 16 16" fill="none" aria-hidden="true"><path fill="currentColor" d="M7.28033 3.21967C6.98744 2.92678 6.51256 2.92678 6.21967 3.21967C5.92678 3.51256 5.92678 3.98744 6.21967 4.28033L7.28033 3.21967ZM11 8L11.5303 8.53033C11.8232 8.23744 11.8232 7.76256 11.5303 7.46967L11 8ZM6.21967 11.7197C5.92678 12.0126 5.92678 12.4874 6.21967 12.7803C6.51256 13.0732 6.98744 13.0732 7.28033 12.7803L6.21967 11.7197ZM6.21967 4.28033L10.4697 8.53033L11.5303 7.46967L7.28033 3.21967L6.21967 4.28033ZM10.4697 7.46967L6.21967 11.7197L7.28033 12.7803L11.5303 8.53033L10.4697 7.46967Z"></path><path class="Primer_Brand__ExpandableArrow-module__ExpandableArrow-stem___g4mdy" stroke="currentColor" d="M1.75 8H11" stroke-width="1.5" stroke-linecap="round"></path></svg></div></div></div></div><div class="Primer_Brand__Grid-module__Grid__column___HTpsw Primer_Brand__Grid-module__Grid__column--xsmall-span-12___brXS7 Primer_Brand__Grid-module__Grid__column--small-span-12___NdAWP Primer_Brand__Grid-module__Grid__column--medium-span-4___zBxBa"><div class="Primer_Brand__Card-module__Card__outer___QBN0D"><div class="Primer_Brand__Card-module__Card___ByGEk Primer_Brand__Card-module__Card--colorMode-light___LXDwj Primer_Brand__Card-module__Card--border___nNZlZ Primer_Brand__Card-module__Card--colorMode-light___LXDwj" data-ref="card-component-4ipZ3KUf2YKStzwgVN9OyB"><h3 class="Primer_Brand__Heading-module__Heading___IVpmp Primer_Brand__Heading-module__Heading-font--mona-sans___SCnTx Primer_Brand__Heading-module__Heading--subhead-large____C6GZ Primer_Brand__Card-module__Card__heading___INFhp"><a href="/devops/tools/compare/" class="Primer_Brand__Card-module__Card__link___Ye5mq">Why GitHub?</a></h3><p class="Primer_Brand__Text-module__Text___pecHN Primer_Brand__Text-module__Text-font--mona-sans___GpzSG Primer_Brand__Text-module__Text--muted___lTaVa Primer_Brand__Text-module__Text--200___XAIGT Primer_Brand__Card-module__Card__description___KN9CH">Learn why more than 90% of the Fortune 100 use GitHub—the leading developer platform compared to alternative solutions.</p><div class="Primer_Brand__Card-module__Card__action___C6sRY"><span class="Primer_Brand__Text-module__Text___pecHN Primer_Brand__Text-module__Text-font--mona-sans___GpzSG Primer_Brand__Text-module__Text--default___DChoE Primer_Brand__Text-module__Text--200___XAIGT Primer_Brand__Link-module__Link--label___j8etE">Compare GitHub</span><svg class="Primer_Brand__ExpandableArrow-module__ExpandableArrow___rkfek Primer_Brand__Link-module__Link-arrow___HBMJ9" width="16" height="16" viewBox="0 0 16 16" fill="none" aria-hidden="true"><path fill="currentColor" d="M7.28033 3.21967C6.98744 2.92678 6.51256 2.92678 6.21967 3.21967C5.92678 3.51256 5.92678 3.98744 6.21967 4.28033L7.28033 3.21967ZM11 8L11.5303 8.53033C11.8232 8.23744 11.8232 7.76256 11.5303 7.46967L11 8ZM6.21967 11.7197C5.92678 12.0126 5.92678 12.4874 6.21967 12.7803C6.51256 13.0732 6.98744 13.0732 7.28033 12.7803L6.21967 11.7197ZM6.21967 4.28033L10.4697 8.53033L11.5303 7.46967L7.28033 3.21967L6.21967 4.28033ZM10.4697 7.46967L6.21967 11.7197L7.28033 12.7803L11.5303 8.53033L10.4697 7.46967Z"></path><path class="Primer_Brand__ExpandableArrow-module__ExpandableArrow-stem___g4mdy" stroke="currentColor" d="M1.75 8H11" stroke-width="1.5" stroke-linecap="round"></path></svg></div></div></div></div></div></div></header><section data-nav="light-mode" class="animatable animate-fade-up"><div class="container-xl"><div id="home-featured-box" class="gradient-bg-purple-red color-fg-white rounded-2 shadow-lg d-lg-flex"><div class="flex-1 p-4 p-lg-7"><h2 class="h3-mktg mb-2">GitHub Learning Pathways</h2><p class="f3-mktg mb-4">Become a GitHub expert in CI/CD, application security, governance, and AI-developer tools through expert-guided learning pathways with tips and insights from leading enterprise organizations.</p><a class="btn-mktg arrow-target-mktg width-full width-sm-auto mr-lg-3" data-analytics-click="Homepage,click on homepage featured resource" href="/learn/pathways/">Start your learning journey<svg aria-hidden="true" role="presentation" xmlns="http://www.w3.org/2000/svg" class="octicon arrow-symbol-mktg" width="16" height="16" viewBox="0 0 16 16" fill="none"><path fill="currentColor" d="M7.28033 3.21967C6.98744 2.92678 6.51256 2.92678 6.21967 3.21967C5.92678 3.51256 5.92678 3.98744 6.21967 4.28033L7.28033 3.21967ZM11 8L11.5303 8.53033C11.8232 8.23744 11.8232 7.76256 11.5303 7.46967L11 8ZM6.21967 11.7197C5.92678 12.0126 5.92678 12.4874 6.21967 12.7803C6.51256 13.0732 6.98744 13.0732 7.28033 12.7803L6.21967 11.7197ZM6.21967 4.28033L10.4697 8.53033L11.5303 7.46967L7.28033 3.21967L6.21967 4.28033ZM10.4697 7.46967L6.21967 11.7197L7.28033 12.7803L11.5303 8.53033L10.4697 7.46967Z"></path><path stroke="currentColor" d="M1.75 8H11" stroke-width="1.5" stroke-linecap="round"></path></svg></a></div></div></div></section><div class="bg-pixel-light bg-contain bg-center"><section class="section pb-0" data-nav="light-mode"><div class="container-xl"><h2 class="h4-mktg font-weight-bold mb-3">Latest articles</h2><a data-analytics-click="Homepage, click on Homepage" class="link-mktg font-weight-medium Link--primary arrow-target-mktg text-semibold f3-mktg mb-6" href="/articles/">See all articles<!-- --> <svg aria-hidden="true" role="presentation" xmlns="http://www.w3.org/2000/svg" class="octicon arrow-symbol-mktg" width="16" height="16" viewBox="0 0 16 16" fill="none"><path fill="currentColor" d="M7.28033 3.21967C6.98744 2.92678 6.51256 2.92678 6.21967 3.21967C5.92678 3.51256 5.92678 3.98744 6.21967 4.28033L7.28033 3.21967ZM11 8L11.5303 8.53033C11.8232 8.23744 11.8232 7.76256 11.5303 7.46967L11 8ZM6.21967 11.7197C5.92678 12.0126 5.92678 12.4874 6.21967 12.7803C6.51256 13.0732 6.98744 13.0732 7.28033 12.7803L6.21967 11.7197ZM6.21967 4.28033L10.4697 8.53033L11.5303 7.46967L7.28033 3.21967L6.21967 4.28033ZM10.4697 7.46967L6.21967 11.7197L7.28033 12.7803L11.5303 8.53033L10.4697 7.46967Z"></path><path stroke="currentColor" d="M1.75 8H11" stroke-width="1.5" stroke-linecap="round"></path></svg></a><div class="grid grid-cols-1 grid-cols-md-3 gap-16"><div class="resource-card animatable animate-fade-up col-span-2 flexible-thumbnail" data-testid="page-thumbnail"><a class="resource-card-overlay-link" aria-label="Go to page: How Thomson Reuters successfully adopted AI (and how your organization can, too)" href="/enterprise/thomson-reuters-ai-adoption/"></a><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:relative"><span 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href="/topics/developer-productivity/">Developer Productivity</a>, <a class="Link--primary no-underline resource-card-tag" href="/topics/devops/">DevOps</a>, <a class="Link--primary no-underline resource-card-tag" href="/topics/enterprise/">Enterprise</a></div></div><div class="resource-card animatable animate-fade-up col-span-2 flexible-thumbnail" data-testid="page-thumbnail"><a class="resource-card-overlay-link" aria-label="Go to page: March ‘25 enterprise roundup" href="/enterprise-content-roundup/march-2/"></a><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:relative"><span style="box-sizing:border-box;display:block;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;padding-top:52.5%"></span><img alt="" src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" decoding="async" data-nimg="responsive" 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3.98744 6.21967 4.28033L7.28033 3.21967ZM11 8L11.5303 8.53033C11.8232 8.23744 11.8232 7.76256 11.5303 7.46967L11 8ZM6.21967 11.7197C5.92678 12.0126 5.92678 12.4874 6.21967 12.7803C6.51256 13.0732 6.98744 13.0732 7.28033 12.7803L6.21967 11.7197ZM6.21967 4.28033L10.4697 8.53033L11.5303 7.46967L7.28033 3.21967L6.21967 4.28033ZM10.4697 7.46967L6.21967 11.7197L7.28033 12.7803L11.5303 8.53033L10.4697 7.46967Z"></path><path stroke="currentColor" d="M1.75 8H11" stroke-width="1.5" stroke-linecap="round"></path></svg></a><div class="grid grid-cols-1 grid-cols-md-3 gap-8"><div class="resource-card animatable animate-fade-up " data-testid="page-thumbnail"><a class="resource-card-overlay-link" aria-label="Go to page: Introduction to GitHub Copilot" href="/artificial-intelligence/introduction-to-github-copilot/"></a><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:relative"><span style="box-sizing:border-box;display:block;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;padding-top:52.5%"></span><img alt="" src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" decoding="async" data-nimg="responsive" class="resource-card-image" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover"/><noscript><img alt="" loading="lazy" decoding="async" data-nimg="responsive" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover" class="resource-card-image" sizes="100vw" srcSet="//images.ctfassets.net/wfutmusr1t3h/7otpSeYrWbyYQ9YqeHMM88/f007aaa8d2b910ad961d2cfe4982c8eb/AI_Background_-_Artificial_Intelligence_pillar_-_Dark_4.png?w=544&q=75 544w, //images.ctfassets.net/wfutmusr1t3h/7otpSeYrWbyYQ9YqeHMM88/f007aaa8d2b910ad961d2cfe4982c8eb/AI_Background_-_Artificial_Intelligence_pillar_-_Dark_4.png?w=768&q=75 768w, //images.ctfassets.net/wfutmusr1t3h/7otpSeYrWbyYQ9YqeHMM88/f007aaa8d2b910ad961d2cfe4982c8eb/AI_Background_-_Artificial_Intelligence_pillar_-_Dark_4.png?w=1012&q=75 1012w, //images.ctfassets.net/wfutmusr1t3h/7otpSeYrWbyYQ9YqeHMM88/f007aaa8d2b910ad961d2cfe4982c8eb/AI_Background_-_Artificial_Intelligence_pillar_-_Dark_4.png?w=1280&q=75 1280w" src="//images.ctfassets.net/wfutmusr1t3h/7otpSeYrWbyYQ9YqeHMM88/f007aaa8d2b910ad961d2cfe4982c8eb/AI_Background_-_Artificial_Intelligence_pillar_-_Dark_4.png?w=1280&q=75"/></noscript></span><h3 class="h4-mktg font-weight-semibold heading"><span>Introduction to GitHub Copilot</span></h3><time class="text-mono mb-3 color-fg-muted">January 23, 2025</time><p class="f3-mktg color-fg-muted">Designed and backed by the leaders in AI, GitHub Copilot is an AI pair programmer that helps developers write code faster and smarter. GitHub Copilot supports multiple languages across the developer workflow. GitHub Copilot’s powerful features have been proven to help developers code up to 55% faster*, accelerate the pace of software development, and enhance the developer experience. </p><div class="text-mono f5 mt-4"><a class="Link--primary no-underline resource-card-tag" href="/topics/ai/">AI</a></div></div><div class="resource-card animatable animate-fade-up " data-testid="page-thumbnail"><a class="resource-card-overlay-link" aria-label="Go to page: Mission Copilot Autofix: Securing the world's software" href="/artificial-intelligence/mission-copilot-autofix-securing-the-worlds-software/"></a><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:relative"><span style="box-sizing:border-box;display:block;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;padding-top:52.5%"></span><img alt="" src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" decoding="async" data-nimg="responsive" class="resource-card-image" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover"/><noscript><img alt="" loading="lazy" decoding="async" data-nimg="responsive" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover" class="resource-card-image" sizes="100vw" srcSet="//images.ctfassets.net/wfutmusr1t3h/3odN5FgGJtbvNtKHyofyVg/0c6a692db6f77f65ce765e7e3369d13b/AI_Background_-_Artificial_Intelligence_pillar_-_Dark_1.png?w=544&q=75 544w, //images.ctfassets.net/wfutmusr1t3h/3odN5FgGJtbvNtKHyofyVg/0c6a692db6f77f65ce765e7e3369d13b/AI_Background_-_Artificial_Intelligence_pillar_-_Dark_1.png?w=768&q=75 768w, //images.ctfassets.net/wfutmusr1t3h/3odN5FgGJtbvNtKHyofyVg/0c6a692db6f77f65ce765e7e3369d13b/AI_Background_-_Artificial_Intelligence_pillar_-_Dark_1.png?w=1012&q=75 1012w, //images.ctfassets.net/wfutmusr1t3h/3odN5FgGJtbvNtKHyofyVg/0c6a692db6f77f65ce765e7e3369d13b/AI_Background_-_Artificial_Intelligence_pillar_-_Dark_1.png?w=1280&q=75 1280w" src="//images.ctfassets.net/wfutmusr1t3h/3odN5FgGJtbvNtKHyofyVg/0c6a692db6f77f65ce765e7e3369d13b/AI_Background_-_Artificial_Intelligence_pillar_-_Dark_1.png?w=1280&q=75"/></noscript></span><h3 class="h4-mktg font-weight-semibold heading"><span>Mission Copilot Autofix: Securing the world's software</span></h3><time class="text-mono mb-3 color-fg-muted">January 17, 2025</time><p class="f3-mktg color-fg-muted">AI is far from reaching its peak in application security. How GitHub applies AI to help streamline remediation and enhance alert interpretability.</p><div class="text-mono f5 mt-4"><a class="Link--primary no-underline resource-card-tag" href="/topics/security/">Security</a>, <a class="Link--primary no-underline resource-card-tag" href="/topics/ai/">AI</a>, <a class="Link--primary no-underline resource-card-tag" href="/topics/github-advanced-security/">GitHub Advanced Security</a></div></div><div class="resource-card animatable animate-fade-up " data-testid="page-thumbnail"><a class="resource-card-overlay-link" aria-label="Go to page: Found means fixed: Addressing security debt at scale" href="/security/mission-copilot-autofix-securing-the-worlds-software/"></a><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:relative"><span style="box-sizing:border-box;display:block;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;padding-top:52.5%"></span><img alt="" src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" decoding="async" data-nimg="responsive" class="resource-card-image" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover"/><noscript><img alt="" loading="lazy" decoding="async" data-nimg="responsive" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover" class="resource-card-image" sizes="100vw" srcSet="/assets/images/defaults/default-3.png?w=544&q=75 544w, /assets/images/defaults/default-3.png?w=768&q=75 768w, /assets/images/defaults/default-3.png?w=1012&q=75 1012w, /assets/images/defaults/default-3.png?w=1280&q=75 1280w" src="/assets/images/defaults/default-3.png?w=1280&q=75"/></noscript></span><h3 class="h4-mktg font-weight-semibold heading"><span>Found means fixed: Addressing security debt at scale</span></h3><time class="text-mono mb-3 color-fg-muted">January 15, 2025</time><p class="f3-mktg color-fg-muted">Software vulnerabilities accumulate over time, creating security debt. While traditional AppSec tools identify issues, fixing them remains challenging due to limited expertise and time.</p><div class="text-mono f5 mt-4"><a class="Link--primary no-underline resource-card-tag" href="/topics/github-advanced-security/">GitHub Advanced Security</a>, <a class="Link--primary no-underline resource-card-tag" href="/topics/security/">Security</a>, <a class="Link--primary no-underline resource-card-tag" href="/topics/ai/">AI</a></div></div></div></div></section></div><section class="section gradient-bg-purple-red color-fg-white" data-nav="dark-mode blur-mode"><div class="container-md"><blockquote class="position-relative"><p class="h3-mktg font-weight-medium lh-relaxed mb-4 animatable animate-fade-up"><span class="position-absolute offset-n1 h2-mktg">“</span> <!-- -->Designed to empower Developers with access to the tools and features they need for streamlined collaboration.</p><footer><p class="text-mono animatable animate-fade-up"><span>Aicha Bah Gersing</span><span> // </span><span>Senior Director, Premium Support</span></p><span style="box-sizing:border-box;display:inline-block;overflow:hidden;width:56px;height:56px;background:none;opacity:1;border:0;margin:0;padding:0;position:relative"><img alt="Senior Director, Premium Support" src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" decoding="async" data-nimg="fixed" class="circle animatable animate-fade-up" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%"/><noscript><img alt="Senior Director, Premium Support" loading="lazy" decoding="async" data-nimg="fixed" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%" class="circle animatable animate-fade-up" srcSet="https://images.ctfassets.net/wfutmusr1t3h/5bVl2ywSDepuOd6POZU5z0/551ff91b5cd860154f47a4eb317ef2eb/75330651.png?w=64&q=75 1x, https://images.ctfassets.net/wfutmusr1t3h/5bVl2ywSDepuOd6POZU5z0/551ff91b5cd860154f47a4eb317ef2eb/75330651.png?w=128&q=75 2x" src="https://images.ctfassets.net/wfutmusr1t3h/5bVl2ywSDepuOd6POZU5z0/551ff91b5cd860154f47a4eb317ef2eb/75330651.png?w=128&q=75"/></noscript></span></footer></blockquote></div></section><div class="color-bg-dark color-fg-white dark-mode bg-glow-pry" data-color-mode="dark" data-dark-theme="dark" data-nav="dark-mode" id="home-endcap"><section class="section"><div class="container-xl d-flex flex-column flex-items-center flex-justify-center"><h2 class="h1-mktg text-center mb-4 animatable animate-fade-up" style="max-width:800px">Accelerate innovation with the platform developers love</h2><p class="f3-mktg text-center color-fg-secondary mb-7 animatable animate-fade-up" style="max-width:800px">At GitHub, you can build what’s next with the industry’s most complete developer platform. Grow your business by investing in end-to-end software delivery and advanced security capabilities that simplify how you ship software at scale.</p><div class="grid grid-cols-1 grid-cols-sm-2 grid-cols-lg-4 gap-12 animatable animate-fade-up grid-content-baseline"><div class="Primer_Brand__Card-module__Card__outer___QBN0D"><div class="Primer_Brand__Card-module__Card___ByGEk Primer_Brand__Card-module__Card--colorMode-light___LXDwj Primer_Brand__Card-module__Card--border___nNZlZ Primer_Brand__Card-module__Card--colorMode-light___LXDwj feature-box feature-box-gray rounded-2" data-ref="card-component-2QxVVVgIq4lSuE1Rtw4oMS"><h3 class="Primer_Brand__Heading-module__Heading___IVpmp Primer_Brand__Heading-module__Heading-font--mona-sans___SCnTx Primer_Brand__Heading-module__Heading--subhead-large____C6GZ Primer_Brand__Card-module__Card__heading___INFhp"><a href="https://github.com/features/codespaces" class="Primer_Brand__Card-module__Card__link___Ye5mq">Codespaces</a></h3><p 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Thomson Reuters successfully adopted AI (and how your organization can, too)","title":"How Thomson Reuters successfully adopted AI (and how your organization can, too)","description":"Has your organization implemented AI into your software engineering process yet?","body":"Published via [GitHub Executive Insights](https://github.com/solutions/executive-insights \"Executive insights, curated just for you\")\n\nAcross industries, organizations are turning to AI to automate repetitive tasks, streamline complex processes, and enable workers to focus on more strategic, creative initiatives. Tools like GitHub Copilot—shown to speed up task completion by 46% and improve code quality by 39%—are already transforming the way software gets built.\n\nBut successful AI adoption is not so simple. It demands strategic planning, structured implementation, and aligning the technology with organizational goals. Businesses large and small will have to implement an individualized and mindful approach to get the most out of an AI solution. \n\nOne company that has had success with GitHub Copilot adoption is Thomson Reuters, a legal, tax, accounting, and media leader. Let’s take a look at the steps they used to implement and scale GitHub Copilot across their engineering organization, and how you can do the same.\n## Setting the stage\nThomson Reuters began their AI journey in 2022. Engineering leaders realized that what started as industry buzz was an opportunity to foster engineering excellence within the company–and GitHub Copilot could be just the thing to accelerate their operations. \n\nBut first, they needed to answer several key questions:\n\n- How can GitHub Copilot improve developer efficiency, code quality, and satisfaction?\n- Will it align with Thomson Reuters’ broader engineering culture and business goals?\n- How can they onboard developers effectively with minimal resistance?\n\nTo find these answers, they initiated two small, focused GitHub Copilot pilot programs in 2023. The programs included:\n\n- 100+ engineers from various teams working across a range of tech stacks.\n- A commitment from participants to engage in four hours of coding per week with GitHub Copilot and provide weekly feedback.\n- A seven-week timeline designed to thoroughly test how GitHub Copilot impacted coding efficiency, quality, and the overall developer experience.\n\n\n## Pilot program results\nHow did it go? \n\n- 46% faster task completion rate for developers using GitHub Copilot.\n- 39% improvement in code quality (measured by the number of changes per PR, indicating more impactful contributions).\n- 68% of developers reported a positive user experience, describing the tool as intuitive and easy to integrate into their workflows.\n\nParticipant comments further reflected their excitement:\n\n- “It’s like having a mind-reading coding buddy.”\n- “I couldn’t imagine working without GitHub Copilot now.”\n- “A magical experience—unless, of course, the AI suggestions were off-target!”\n\nClearly, the pilot outcomes were enough to pave the way for broader adoption.\n## Scaling GitHub Copilot across the enterprise\nAfter the pilot’s success, it was time to move from testing to full implementation. Thomson Reuters created a four-stream strategy to scale adoption effectively:\n1. Rollout and adoption: By automating license activation and usage tracking, they efficiently onboarded over 2,000 seats for developers across multiple teams.\n2. Enablement and training: They established a community of champions—early adopters who became advocates for the tool—and offered in-depth training resources to empower them to make the most of GitHub Copilot.\n3. Measurement and reporting: Metrics such as developer efficiency, code quality, and satisfaction, combined with monthly surveys, ensured that any challenges were addressed promptly. This approach also provided a clear way to track ongoing success.\n4. Best practices and continuous improvement: The team shared success stories and use cases internally to maintain enthusiasm and optimize strategies for long-term ROI.\n\n## Sustained performance metrics\nBy expanding their data collection and feedback loops, Thomson Reuters observed the following:\n\n- A 45% decrease in pull request (PR) durations.\n- A 44% increase in the number of changes per PR, indicating more impactful contributions from developers.\n\nEven more striking? Developers reported using their newfound efficiency to engage in learning, research, and innovative pursuits, enhancing their overall job satisfaction.\n\n---\n\nWant to ensure a successful GitHub Copilot rollout?\n\nMake data-driven decisions by tracking active and engaged users, language preferences, and IDE usage. \n\n[Explore the metrics guide now \u003e](https://docs.github.com/en/copilot/managing-copilot/managing-github-copilot-in-your-organization/reviewing-activity-related-to-github-copilot-in-your-organization/analyzing-usage-over-time-with-the-copilot-metrics-api \"Explore the metrics guide now\u003e\")\n\n---\n## Lessons for enterprise leaders\n\nLessons for enterprise leaders\nFor enterprise leaders like you looking to adopt AI tools like GitHub Copilot, here are the timeless lessons from Thomson Reuters:\n\n1. __Start small and scale__\nPilot programs allow enterprises to test the waters, collect precise feedback, and refine adoption strategies before committing to full-scale implementation.\n\n2. __Focus on the metrics that matter__\nEstablish quantitative and qualitative metrics early on (even before you start your trial). Whether it’s coding speed or developer satisfaction, identify KPIs that matter to your organization.\n\n3. __Invest in training and support__\nDon’t assume everyone will adapt naturally to AI tools. A structured enablement program ensures developers of all skill levels can benefit.\n\n4. __Build a community of champions__\nIdentifying enthusiastic early adopters who can inspire others is crucial. Their success stories establish trust and excitement for broader teams.\n\n5. __Keep it collaborative__\nAI tools like GitHub Copilot thrive on collaboration. They’re designed to complement human effort—not replace it. Promote this mindset to avoid overreliance or misuse.\n\n6. __Iterate and adapt__\nAI adoption is a living process. Build feedback loops into your strategy to continually refine and improve as you learn more about the technology’s impact.\n\n\u003cdiv class=\"embed-responsive embed-responsive-16by9\"\u003e\n\u003ciframe title=\"Complex migrations: Why failing forward helps push past resistance to change\" src=\"https://www.youtube.com/embed/0CXSRt8ZiQI?si=zZHDCfNgtV8D8OxA\" width=\"640\" height=\"480\" frameborder=\"0\" webkitallowfullscreen mozallowfullscreen allowfullscreen\u003e\u003c/iframe\u003e\u003c/div\u003e\n\n## AI in enterprises is here to stay—are you in?\nGitHub Copilot is a profound step toward the future of software development. By freeing up developers from repetitive coding tasks, it empowers them to focus on creative problem-solving, big-picture thinking, and innovation.\n\nThomson Reuters provides a clear roadmap for enterprises to successfully integrate AI, from thoughtful piloting to seamless scaling. Their outcome? Higher efficiency, better code, and happier developers.\n\nIf you’re ready to follow in their footsteps, [get started now \u003e](https://github.com/enterprise)\n\n---\n\nWant to learn more about the strategic role of AI and other innovations at GitHub? Explore [Executive Insights](https://github.com/solutions/executive-insights) for more thought leadership on the future of technology and business.","resource":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"wfutmusr1t3h"}},"id":"60GCsmRRCYxtgH6Dxido1r","type":"Entry","createdAt":"2025-03-21T23:01:05.483Z","updatedAt":"2025-03-21T23:01:05.483Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":2,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{}},"gated":false,"publicationDate":"2025-03-21T00:00","hidden":false,"rendersRichText":false}},"seo":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"wfutmusr1t3h"}},"id":"6Lwth2pLzLmag5JSv23abU","type":"Entry","createdAt":"2025-03-21T23:02:25.528Z","updatedAt":"2025-03-21T23:02:25.528Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":6,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"seo"}},"locale":"en-US"},"fields":{"metaTitle":"How Thomson Reuters successfully adopted AI (and how your organization can, too)","metaDescription":"Across industries, organizations are turning to AI to automate repetitive tasks, streamline complex processes, and enable workers to focus on more strategic, creative initiatives. 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More users mean more complexity. More complexity demands more processes. Suddenly the innovative spirit that built our products gets buried under layers of guardrails.\n\nIt's a challenge we experience firsthand at GitHub, where we've had to constantly balance the demands of serving millions of developers worldwide with nurturing the creativity and passion that made us who we are.\n\n\u003e Creativity isn't optional – it's how we solve complex problems, optimize performance, and build features that delight users. Your developers' ability to think differently and experiment freely directly impacts company success.\n\nHow do we create and protect space for creativity while managing the increasing complexity that comes with scale? How do we ensure our developers can maintain the ability to innovate and experiment while operating within the constraints of a larger organization?\n## Challenges at scale\nA clear pattern emerges when organizations grow: where we once let many ideas bloom, we begin to yearn for consistency. The most successful approach to maintaining creativity at scale focuses on what we benefit from standardizing and centrally investing in (e.g. common platform components, security, deployments, incident response) while allowing divergence and exploration elsewhere. \n\n\u003e Standardization should enable rather than constrain, giving your teams the confidence to move quickly within clear boundaries.\n\nFor example, at GitHub we invested in and standardized our Incident Management Lifecycle; this dedicated team delivers tools and processes that set clear baselines for what all teams at GitHub must adhere to (e.g. consistent SLOs, monitoring and alerts practices). This team also delivers common tooling that makes adhering to those standards easy and effective. We’ve invested in common dashboarding capabilities, Slack automation and even simply standard templates to use for RCAs and other Incident processes. While these enhancements may not be revolutionary, the consistency they have provided has allowed us to have GitHub-wide conversations about availability where everyone speaks the same language. \n\nWhat this means for your team and organization depends on your circumstances, but one way to evaluate it is by asking whether the area in question is one where innovation is needed (adopting AI into an existing experience) vs. one where we simply need standards to be more effective. The latter is clearly where common investments make sense to take the burden off the entire organization and instead put it in a central team.\n\n__Scale brings complexity, and with it, a heightened aversion to risk.__ Teams that once freely experimented with new approaches find themselves constrained by concerns about potential impacts on larger systems and user bases. The challenge becomes maintaining a spirit of experimentation while acknowledging the reality of serving countless users who depend on your stability. This is another place where central investment into systems and tools that allow for safe experimentation is critical.\n\nAt GitHub we’ve recently invested in rearchitecting our feature-flag system to help us manage releases at scale. We once only had to think about this problem from the standpoint of a single website, but now we’re evolving our approach to bring standard management to feature flags across GitHub.com, our data-resident clouds, and our server offering. We are also investing heavily in a variety of safe-deployment practices to create a foundation where running experiments is less-risky.\n\nAnd as organizations grow, innovation tends to become concentrated in certain teams or areas while others fall into purely operational modes. While bringing some amount of creativity to all teams, it is also important to recognize that not all teams and aspects of a product require the same amount of creativity. Even in large organizations like GitHub, we can categorize aspects of our product in different stages. Some are more startup-like, like cutting edge investments in GitHub Copilot, some are more mature businesses that are actively growing but also innovating, like Advanced Security; while others are in a more steady state of operation or even on a deprecation path. Each of these stages calls for different kinds of investment and levels of creativity.\n\nGiven the disparate nature of these teams, we must also wrestle with the reality of team and individual morale. Every individual is different and some like being to the left of this pattern where innovation reigns, while others enjoy the more sustaining, often high-scale technical problems of growth, optimization and continuity. \n\nAs leaders, our challenge is to enable creativity for each of these teams and individuals. \n## The foundation: time\n\nAsk any developer about their most productive days, and they'll likely describe those rare, perfect moments when they're completely immersed in their code. Hours fly by, complex problems unravel naturally, and solutions emerge with surprising clarity. This is ‘flow’ – and it's the backbone of developer creativity.\n\nAt GitHub, our developer satisfaction surveys consistently highlight a stark reality: sync meetings kill productivity and creativity. __A \"quick\" meeting or check-in doesn't just consume its scheduled time – it shatters focus.__\n\nEach context switch costs far more than just the time spent on the interruption itself. When developers can't achieve flow, we lose more than time. We lose:\n\n- Deep problem-solving capabilities\n- Creative solutions to complex challenges\n- Code quality and maintainability\n- Developer satisfaction\n\nBy prioritizing uninterrupted blocks of work, we enable innovation to naturally emerge.\n\nOne approach to consider is to divide a work week into 10 blocks; 5 mornings and afternoon. How many of those blocks can you protect for your developers?\n## Three approaches to creating creative space\nWhile protecting time at the individual level is a critical foundation, we can also approach the problem of creating time more systematically.\n\n__1. The ring-fenced innovation team__\n\nOne way to preserve creativity at scale is to create a dedicated team focused solely on innovation. At GitHub, we call this team \"[GitHub Next](https://githubnext.com/)\"—and it's where some of our most transformative ideas, including GitHub Copilot, were born.\n\nOne of the keys to GitHub Next's success is its deliberate separation from daily operational constraints. These developers aren't pulled into supporting the larger organization through on-call rotations or distracted by urgent production issues. Instead, they have the freedom to explore, experiment, and think deeply about the future of development.\n\nBut freedom doesn't mean lack of direction. GitHub Next operates with clear expectations: explore technologies that could fundamentally change how developers work. While the team has significant autonomy in how they pursue this goal, they remain accountable for delivering innovations that can eventually benefit our broader developer community.\n\n__2. Embedding creativity in daily work__\n\nNot every organization can dedicate an entire team to innovation—nor should they. Creativity needs to thrive within our existing engineering teams too. This starts with how we manage capacity.\n\n\u003e What do you call a highway operating at 100% capacity? A parking lot. Teams are the same way. When every hour is allocated to immediate needs, there's no room for creative thinking, no space for innovation, no capacity to absorb the unexpected.\n\nTeams should deliberately maintain buffer capacity. Whether you call it 20% time or innovation space, the principle is the same: creativity requires margin.\n\n__3. Eliminating creativity killers__\n\nA threat to creativity is toil—the manual, repetitive work that drains energy and squanders potential. At GitHub, we've seen this in teams where manual operations can consume enormous amounts of time and mental energy.\n\nFor instance, our infrastructure teams used to spend significant time manually managing servers and handling incident responses. This constant operational burden didn't just consume time—it destroyed morale. Imagine being a Principal Engineer manually rebooting servers instead of solving complex architectural challenges.\n\nWe've since made automation a top priority, recognizing that eliminating toil isn't just about efficiency—it's about creating space for creativity to flourish. By automating routine tasks, we free our developers to focus on more challenging and rewarding work.\n\n## Automation as a creativity enabler\nWhen we free developers from repetitive tasks, we give them back the mental space needed for innovation.\n\nThe key to successful automation isn't trying to automate everything at once. Instead, look for high-impact opportunities by asking:\n\n- What tasks repeatedly pull developers out of flow state?\n- Which manual processes are most prone to human error?\n- Where do our developers express the most frustration?\n\nConduct developer satisfaction surveys to gather feedback from your developers. When developers consistently mention painful deployment processes or tedious configuration tasks, those are indicators for where automation will have the biggest impact.\n\nInvest in __creating a culture of automation__ and shift how your teams think about manual work. Do this by:\n\n- Treating automation as a first-class project, not a side task\n- Prioritizing automation work in the areas with the highest impact\n- Reducing time spent by teams on manual KTLO (Keeping the lights on) work through automation\n- Ensuring automation work is reflected in team OKRs, or similar planning process\n- Giving teams explicit time for automation work\n- Having leadership celebrate and publicly boost automation wins\n- Measuring progress by tracking data that demonstrates the value of these investments\n\n## AI as a creativity multiplier\nGitHub Copilot is fundamentally changing how developers stay in flow and productive. Picture a developer working in an unfamiliar codebase and they encounter a challenge. Traditionally, this meant context-switching – opening browsers, searching documentation, or asking colleagues. Breaking their flow and delaying progress.\n\nCopilot brings AI assistance directly into the IDE. Instead of leaving their development environment, developers can explore options and receive suggestions right where they work. This helps developers:\n\n- __Maintain flow state__: Questions get answered and patterns get suggested – all without breaking flow.\n- __Learn through exploration__: Developers can quickly test different approaches and learn new patterns in real time, accelerating learning and breeding creativity.\n- __Reduce mental overhead__: Developers work across multiple languages and frameworks. Copilot helps manage this complexity by offering contextual suggestions, and letting developers focus their creative energy on solving core problems.\n\nBy handling routine aspects of coding and providing in-IDE assistance, Copilot frees developers to focus on the creative challenges that require human insight. And Copilot is only continuing to get better; recent advancements have begun to move Copilot from a pair programmer to a peer programmer that you can task with doing complex work on your behalf. These investments in various agent-centric experiences will only further multiply a developer and teams productivity. \n## Conclusion\nOrganizations face a constant tension between process and creativity, between stability and innovation. But, it's not about choosing between these extremes. It's about thoughtfully designing systems that protect both.\n\nThe most successful engineering organizations don't leave developer creativity to chance. They build it into their DNA through deliberate choices about how they structure teams, manage time, and measure success.\n\nWe've seen firsthand how this plays out:\n\n- When we protect developer time from unnecessary interruptions, deeper solutions emerge\n- When we give teams room to experiment safely, innovation occurs naturally\n- When we reduce developer toil, both frustration and interruptions lessen\n- When we measure developer satisfaction, we learn where to focus our efforts\n\nYou don't have to transform everything overnight. Start with one team. Create some space. Measure the impact. Learn and adjust. Whether it's implementing no-meeting days, setting up a small innovation team, or simply reducing manual work – each step toward protecting creative space builds momentum.\n\n---\n\nWant to learn more about the strategic role of AI and other innovations at GitHub? Explore [Executive Insights](https://github.com/solutions/executive-insights) for more thought leadership on the future of technology and business.\n","resource":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"wfutmusr1t3h"}},"id":"3jK2kRASVMQVvq10eIs8L8","type":"Entry","createdAt":"2025-03-11T17:50:40.579Z","updatedAt":"2025-03-11T17:50:40.579Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":2,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{}},"gated":false,"publicationDate":"2025-03-11T00:00","hidden":false,"rendersRichText":false}},"seo":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"wfutmusr1t3h"}},"id":"4u5HEXdZwCaPB18pLBqJGS","type":"Entry","createdAt":"2025-03-11T17:57:59.681Z","updatedAt":"2025-03-20T14:20:25.846Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":13,"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"seo"}},"locale":"en-US"},"fields":{"metaTitle":"Creating space for developer creativity in high-scale organizations","metaDescription":"Every engineering organization faces a growth dilemma: as you scale, the creative energy that drove initial success conflicts with the needs to maintain and grow existing business. More complexity demands more processes. Suddenly the innovative spirit that built our products gets buried under layers of guardrails."}},"topics":[{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"wfutmusr1t3h"}},"id":"3vQGRghKWPkjZOXF1XJQ1h","type":"Entry","createdAt":"2024-01-11T21:00:33.222Z","updatedAt":"2024-10-09T18:27:56.917Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":75,"revision":38,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"topic"}},"locale":"en-US"},"fields":{"slug":"developer-productivity","label":"Developer Productivity"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"wfutmusr1t3h"}},"id":"2rym8Y8A56ngjMrr6oSlmh","type":"Entry","createdAt":"2024-01-11T21:00:35.775Z","updatedAt":"2025-03-19T16:15:07.517Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":364,"revision":183,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"topic"}},"locale":"en-US"},"fields":{"slug":"devops","label":"DevOps"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"wfutmusr1t3h"}},"id":"6oCTuwcd5YhXB1vPzWNG7c","type":"Entry","createdAt":"2024-01-11T21:00:23.772Z","updatedAt":"2024-10-09T18:28:00.193Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":28,"revision":15,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"topic"}},"locale":"en-US"},"fields":{"slug":"enterprise","label":"Enterprise"}}],"settings":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"wfutmusr1t3h"}},"id":"7rGUoMHA3hqOAOj8JY7SEX","type":"Entry","createdAt":"2025-02-28T22:54:08.056Z","updatedAt":"2025-02-28T22:54:08.056Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":2,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"pageSettings"}},"locale":"en-US"},"fields":{"title":"Page Settings for /enterprise/wayfair-enterprise-scale-migration","hasMinimalFooter":false,"isHidden":false}}}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"wfutmusr1t3h"}},"id":"5xRbLx1vMeNDPWc5SHTDa0","type":"Entry","createdAt":"2025-03-07T06:57:41.460Z","updatedAt":"2025-03-07T06:57:41.460Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":15,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"page"}},"locale":"en-US"},"fields":{"path":"/enterprise-content-roundup/march-2","content":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"wfutmusr1t3h"}},"id":"3jsaOZSjfscygJPWsWlMAj","type":"Entry","createdAt":"2025-03-07T05:00:56.416Z","updatedAt":"2025-03-19T16:15:50.499Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":393,"revision":22,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"resourceContainer"}},"locale":"en-US"},"fields":{"internalTitle":"Resource Page for /enterprise-content-roundup/march-2025","title":"March ‘25 enterprise roundup","description":"In case you missed it…","body":"Published via [GitHub Executive Insights](https://github.com/solutions/executive-insights) | Authored by [Dave Burnison](https://github.com/DaveBurnisonMS)\n\nGitHub is shipping new features, product updates, and best practices faster than ever. To help you stay ahead, our Enterprise Advocacy team has curated this monthly roundup—bringing you a concise, enterprise-focused summary of the most important updates you might have missed.\n\nBelow, you’ll find a carefully selected list of key innovations, expert insights, and must-know resources—guided by feedback from GitHub’s largest customers—to help your team innovate faster, boost productivity, and enhance security. Share with your teams and stakeholders so they can also get the most out of their GitHub experience. \n\nLet’s dive in!\n\n## AI \u0026 ML - GitHub Copilot\n\nAll things GitHub Copilot, from new and upcoming features to research and data collected from customers showing how GitHub Copilot is accelerating developer productivity. \n\n__YouTube__\n\n- 📺 [GitHub Copilot: the agent awakens](https://www.youtube.com/watch?v=C95drFKy4ss) (6:19): The most recent updates to VS Code and GitHub Copilot are game-changers for your productivity. See all the features in action, and explore them in your own projects and workloads. \n\n- 📺 [AI-powered development: Exploring the latest GitHub Copilot features](https://www.youtube.com/watch?v=07mUcfiTpag) (2:43): Discover the latest evolution of GitHub Copilot, the world's most used AI developer tool, now smarter and more powerful than ever! We’ll show how Copilot is transforming the way developers work with features like: intent-detection \u0026 codebase indexing, Copilot Edits, Model Choices and Copilot Autofix. \n\n- 📺 [Build AI Apps Faster with GitHub Copilot for Azure: See It in Action!](https://www.youtube.com/watch?v=BoA2HwQZWso) (2:20): Learn how GitHub Copilot for Azure, now available as an extension for VS Code, simplifies building and deploying AI applications on Azure. Whether you're an experienced developer or new to Azure, this tool can accelerate your journey.\n\n- 📺 [GitHub Copilot Upgrade Assistant for Java: Try It First!](https://www.youtube.com/watch?v=TRPKspCqN78) (1:24): Introducing the GitHub Copilot Upgrade Assistant for Java, now in technical preview! This powerful tool simplifies upgrading Java applications, helping you modernize your Java applications.\n\n__GitHub Blog__\n\n- [GitHub Copilot: The agent awakens](https://github.blog/news-insights/product-news/github-copilot-the-agent-awakens/): We are upgrading GitHub Copilot with the force of even more agentic AI – introducing agent mode. Agent mode is capable of iterating on its own code, recognizing errors, and fixing them automatically. It can suggest terminal commands and ask you to execute them. It also analyzes run-time errors with self-healing capabilities. In agent mode, Copilot will iterate on not just its own output, but the result of that output. And it will iterate until it has completed all the subtasks required to complete your prompt. \n\n- [How to use GitHub Copilot: What it can do and real-world examples](https://github.blog/developer-skills/github/what-can-github-copilot-do-examples/):\nWhen is the last time you stepped back and took a look at everything that GitHub Copilot can actually do? GitHub Copilot has evolved to cover a bunch of different use cases, workflows, coding languages, and much more. We’ll update this list as GitHub Copilot continues to evolve and we add new, awesome features like we’ve been doing since we first launched it a few years ago.\n\n- [How to refactor code with GitHub Copilot](https://github.blog/ai-and-ml/github-copilot/how-to-refactor-code-with-github-copilot/): Sometimes refactoring code can be really easy. But the more you dig into it, the more it grows, and you might find yourself facing down the Herculean task of trying to refactor a codebase that stretches across multiple files from a larger team of developers. Discover how to use GitHub Copilot to refactor your code and see samples of it in action.\n\n- [Documenting and explaining legacy code with GitHub Copilot: Tips and examples](https://github.blog/ai-and-ml/github-copilot/documenting-and-explaining-legacy-code-with-github-copilot-tips-and-examples/): Learn how to document and explain legacy code with GitHub Copilot with real-world examples. In this blog post, we’ll explore practical tips and examples for using GitHub Copilot to document and explain legacy code effectively. Whether you’re dealing with a monolithic application, cryptic comments, or no documentation at all, these techniques will help you bring clarity to your codebase and set it up for long-term success.\n\n- [How we evaluate AI models and LLMs for GitHub Copilot](https://github.blog/ai-and-ml/generative-ai/how-we-evaluate-models-for-github-copilot/): We recently expanded the models available in GitHub Copilot (See the recent Changelogs below). GitHub’s goal is to create the best quality, most responsible AI coding assistant possible, and that guides the decision we have to make about which models to support within the product. It’s tempting to hop immediately to the latest models. But just because a model is newer doesn’t mean it will perform better for your use case. In this article, we’ll share some of the GitHub Copilot team’s experience evaluating AI models. \n\n__GitHub Docs__\n\n- 📄 [Copilot Chat Cookbook](https://docs.github.com/en/copilot/copilot-chat-cookbook): Find examples of prompts to use with GitHub Copilot Chat.\n\n- 📄 [Using Copilot to migrate a project to another programming language](https://docs.github.com/en/copilot/using-github-copilot/guides-on-using-github-copilot/using-copilot-to-migrate-a-project): Migrating a project to a new programming language can be a difficult and time-consuming task. This guide describes what's involved in a migration process and gives an example of a PHP to Python migration.\n\n__GitHub Changelog__\n\n- [Vision, agent mode, next edit suggestions, and more for GitHub Copilot in VS Code January release (v0.24)](https://github.blog/changelog/2025-02-06-next-edit-suggestions-agent-mode-and-prompts-files-for-github-copilot-in-vs-code-january-release-v0-24/): In the latest Visual Studio Code release, you will find a range of GitHub Copilot features designed to make your coding and debugging experience in VS Code more productive and efficient. These features are now available for you to try out in the latest version of VS Code.\n\n- [View and iterate on generated files directly within Copilot chat (Preview)](https://github.blog/changelog/2025-02-05-view-and-iterate-on-generated-files-directly-within-copilot-chat-preview/): File suggestions open in a side panel, making it faster than ever to preview and refine your generated code.\n\n- [Copilot Workspace: Auto-validation, go to definition, and more](https://github.blog/changelog/2025-01-31-copilot-workspace-auto-validation-go-to-definition-and-more/): We’re excited to share the latest improvements for Copilot Workspace, including enabling enterprise managed users, auto-validating changes in the workspace, and more.\n\n- [Edit and validate Copilot Autofix suggestions with Copilot Workspace](https://github.blog/changelog/2025-01-31-edit-and-validate-copilot-autofix-suggestions-with-copilot-workspace/): Copilot Autofix suggestions for code scanning alerts can now be edited and validated using Copilot Workspace for pull requests.\n\n- [Custom repository instructions are now available for Copilot on GitHub.com (Public Preview)](https://github.blog/changelog/2025-01-21-custom-repository-instructions-are-now-available-for-copilot-on-github-com-public-preview/): GitHub Copilot Chat now supports repository-specific custom instructions, giving you a more tailored and personalized chat experience. This means you can provide Copilot with important details about your development stack, coding standards, or even how you prefer to chat. \n\n---\n\n__Dave’s Bonus Info!__ In addition to the resources we provide, it's also helpful to see real-world examples. GitHub partners very closely with the VS Code team who co-develops many of GitHub Copilot's new capabilities. Go beyond the documentation and check out the VS Code team's custom instructions and see if you can draw inspiration from this example to enable your team's use of custom instructions to take flight: [VS Code custom instructions for GitHub Copilot ](https://github.com/microsoft/vscode/blob/main/.github/copilot-instructions.md)\n\n---\n\n- [Copilot Users Can Ask About A Failed Actions Job (GA)](https://github.blog/changelog/2025-01-15-copilot-users-can-ask-about-a-failed-actions-job-ga/): Simply press “Explain Error” from the pull request merge box or the Actions job page to chat with Copilot about why a job failed, and get tailored guidance on how to resolve the issue.\n\n- [GitHub Copilot in Visual Studio 2022 Version 17.13](https://github.blog/changelog/2025-02-12-github-copilot-in-visual-studio-2022-version-17-13/): GitHub Copilot in Visual Studio 17.13: New features to supercharge your development workflow\n\n- [GitHub Copilot code completions now in public preview for Eclipse](https://github.blog/changelog/2025-02-13-github-copilot-code-completions-now-in-public-preview-for-eclipse/): We’re excited to announce that code completions with GitHub Copilot in Eclipse are now in public preview!\n\n- [GitHub Copilot for Xcode Chat now in public preview](https://github.blog/changelog/2025-02-13-github-copilot-for-xcode-chat-now-in-public-preview/): We’re excited to announce that GitHub Copilot for Xcode Chat is now in public preview! \n\n- [GitHub Copilot in JetBrains IDEs: @project context and commit message suggestions](https://github.blog/changelog/2025-02-19-boost-your-productivity-with-github-copilot-in-jetbrains-ides-introducing-project-context-ai-generated-commit-messages-and-other-updates/): The GitHub Copilot plugin for JetBrains IDES now helps you ask questions about your entire codebase, via @project, and Copilot can help you out even more by generating commit message suggestions.\n\n- We [recently expanded the models available in GitHub Copilot](https://github.blog/news-insights/product-news/bringing-developer-choice-to-copilot/). Here are some of the latest related updates:\n\n - [Google Gemini 2.0 Flash is now available to all Copilot users in public preview](https://github.blog/changelog/2025-02-05-google-gemini-2-0-flash-is-now-available-to-all-copilot-users-in-public-preview/)\n - [OpenAI GPT-4.5 in GitHub Copilot now available in public preview](https://github.blog/changelog/2025-02-27-openai-gpt-4-5-in-github-copilot-now-available-in-public-preview/)\n - [OpenAI o3-mini is now available in GitHub Copilot Free](https://github.blog/changelog/2025-02-06-openai-o3-mini-is-now-available-in-github-copilot-free/) \n\n## AI \u0026 ML - GitHub Models\n\nAI \u0026 ML updates beyond GitHub Copilot. There were a few key updates related to the [GitHub Models playground](https://github.com/marketplace/models).\n\n__YouTube__\n\n- 📺 [Try the latest AI models with GitHub Models - now with OpenAI's o3-mini and DeepSeek-R1](https://www.youtube.com/watch?v=ovwhrAQj5x8) (0:59): GitHub Models, available in the GitHub Marketplace, provides developer access to a curated selection of industry-leading AI models from providers like OpenAI, Meta, Cohere, Microsoft, and Mistral. Stay up-to-date with the latest AI models like o3-mini and DeepSeek-R1.\n\n__Changelog__\n\n- [DeepSeek-R1 is now available in GitHub Models (Public Preview)](https://github.blog/changelog/2025-01-29-deepseek-r1-is-now-available-in-github-models-public-preview/)\n\n- [OpenAI o3-mini now available in GitHub Copilot and GitHub Models (Public Preview)](https://github.blog/changelog/2025-01-31-openai-o3-mini-now-available-in-github-copilot-and-github-models-public-preview/)\n\n- [Phi-4 is now available in GitHub Models (GA)](https://github.blog/changelog/2025-01-15-phi-4-is-now-available-in-github-models-ga/)\n\n- [Codestral 25.01 is now available in GitHub Models (GA)](https://github.blog/changelog/2025-01-13-codestral-25-01-is-now-available-in-github-models-ga/) \n\n- [GitHub Models introduces a new prompt editor (GA)](https://github.blog/changelog/2025-01-23-github-models-introduces-a-new-prompt-editor-ga/): This powerful tool is designed to provide a focused and intuitive experience for crafting and testing your inputs, enabling you to optimize prompts for maximum performance and relevance in your projects.\n\n- [GitHub Models prompt editor now integrates with user repository code [GA]](https://github.blog/changelog/2025-02-12-github-models-playground-now-integrates-with-user-repository-code-ga/): You can now iterate on your prompt in any user repositories without breaking your flow. With just one click, jump from a prompt in your GitHub-hosted code to the GitHub Models prompt editor.\n\n- [GitHub Models introduces JSON schema support for response formats](https://github.blog/changelog/2025-01-08-github-models-introduces-json-schema-support-for-response-formats/): You can now specify a custom JSON schema as a response format, alongside the existing text and recently released general JSON option. \n\n## Security\nApplication security with GitHub, ensuring the code that lives in GitHub and the dependencies that go into the solutions you build are secure.\n\n__Changelog__\n\n- [Find secrets in your organization with the secret risk assessment](https://github.blog/changelog/2025-03-04-find-secrets-in-your-organization-with-the-secret-risk-assessment/): GitHub is committed to empowering the developer community by helping organizations recognize and address the risks of secret leaks. That’s why we’re launching a new free tool next month which will provide clear insights into their exposure, along with actionable steps to strengthen their security and protect their code.\n\n- [Recent improvements to security campaigns with Copilot Autofix (public preview)](https://github.blog/changelog/2025-01-31-recent-improvements-to-security-campaigns-with-copilot-autofix-public-preview/): Today we are announcing multiple improvements based on the customer feedback we have received during the security campaigns public preview.\n\n- [EMU enterprise access restrictions via corporate proxies (public preview)](https://github.blog/changelog/2025-01-28-emu-enterprise-access-restrictions-via-corporate-proxies-public-preview/): With enterprise access restrictions via corporate proxies, you can now configure your network proxy or firewall to inject a header into your users’ web and API requests to github.com. This signal tells GitHub to block the request if it is from a user outside of your EMU enterprise. \n\n- [Dependabot helps users focus on the most important alerts by including EPSS scores that indicate likelihood of exploitation, now generally available](https://github.blog/changelog/2025-02-19-dependabot-helps-users-focus-on-the-most-important-alerts-by-including-epss-scores-that-indicate-likelihood-of-exploitation-now-generally-available/): Dependabot alerts now feature the Exploit Prediction Scoring System (EPSS) from the global Forum of Incident Response and Security Teams (FIRST), helping you better assess vulnerability risks.\n\n__Blog__\n\n- [How GitHub uses CodeQL to secure GitHub](https://github.blog/engineering/how-github-uses-codeql-to-secure-github/): How GitHub’s Product Security Engineering team manages our CodeQL implementation at scale and how you can, too.\n\n- [How to secure your GitHub Actions workflows with CodeQL](https://github.blog/security/application-security/how-to-secure-your-github-actions-workflows-with-codeql/): In the last few months, we secured 75+ GitHub Actions workflows in open source projects, disclosing 90+ different vulnerabilities. Out of this research we produced new support for workflows in CodeQL, empowering you to secure yours. See also, [Improved code scanning coverage for GitHub Actions (Public Preview)](https://github.blog/changelog/2025-02-28-improved-code-scanning-coverage-for-github-actions-public-preview/)\n\n## CI/CD\nContinuous Integration \u0026 Continuous Deployment with GitHub Actions.\n\n__Changelog__\n\n- [Copilot Users Can Ask About A Failed Actions Job (GA)](https://github.blog/changelog/2025-01-15-copilot-users-can-ask-about-a-failed-actions-job-ga/): Simply press “Explain Error” from the pull request merge box or the Actions job page to chat with Copilot about why a job failed, and get tailored guidance on how to resolve the issue.\n\n- [Larger hosted runner enhancements: Edit runner size and Windows Server 4vCPU runner availability](https://github.blog/changelog/2025-01-30-larger-hosted-runner-enhancements-edit-runner-size-and-windows-server-4vcpu-runner-availability/): Starting today, you can edit the size of your larger hosted runners. For customers using static IPs, you can size up or down while keeping your IP addresses the same. Also, we now offer Windows Server on a 4vCPU machine using the Windows 2025 image.\n\n- [Actions: GitHub-hosted larger runner \u0026 network configuration REST APIs (GA)](https://github.blog/changelog/2025-01-29-actions-github-hosted-larger-runner-network-configuration-rest-apis-ga/): Actions larger runner REST APIs are now generally available. These new APIs empower you to programmatically [create larger runners](https://docs.github.com/en/actions/using-github-hosted-runners/using-larger-runners/about-larger-runners), assign them to a runner group, configure network settings for [Azure private networking](https://docs.github.com/en/enterprise-cloud@latest/admin/configuring-settings/configuring-private-networking-for-hosted-compute-products/about-azure-private-networking-for-github-hosted-runners-in-your-enterprise), and apply these configurations to specific runner groups.\n\n- [Linux arm64 hosted runners now available for free in public repositories (Public Preview)](https://github.blog/changelog/2025-01-16-linux-arm64-hosted-runners-now-available-for-free-in-public-repositories-public-preview/): Now in public preview, Linux arm64 hosted runners are available for free in public repositories. Following the release of arm64 larger hosted runners in June, this offering now extends to the open source-community.\n\n__Blog__\n\n- [How to secure your GitHub Actions workflows with CodeQL](https://github.blog/security/application-security/how-to-secure-your-github-actions-workflows-with-codeql/): In the last few months, we secured 75+ GitHub Actions workflows in open source projects, disclosing 90+ different vulnerabilities. Out of this research we produced new support for workflows in CodeQL, empowering you to secure yours.\n\n## The GitHub Platform\nResources to assist those who manage the rollout and maintenance of GitHub for hundreds if not thousands of stakeholders.\n\n__GitHub Resources__\n\n- [Announcing the launch of GitHub Well-Architected 🎉](https://resources.github.com/well-architected/): A new and ever-evolving resource designed to help organizations effectively adopt and deploy the GitHub platform. It combines design thinking with prescriptive recommendations, empowering leaders and GitHub administrators to achieve their highest priority business goals.\n\n__YouTube__\n\n- 📺 [Govern your repositories with Push Rulesets](https://www.youtube.com/watch?v=u3MHqfeBzek) (0:59): Need to restrict updates to sensitive files like GitHub Action workflows? Or enforcing code hygiene in your repository by limiting which objects can be pushed? Then you'll want to check out GitHub push rulesets!\n\n__Changelog__\n\n- [GitHub Enterprise Cloud Data Residency in Australia is generally available](https://github.blog/changelog/2025-02-04-github-enterprise-cloud-data-residency-in-australia-is-generally-available/): With this release, teams can enhance productivity and collaboration while gaining more control over their code to meet their data residency preferences. This will help customers in the Asia-Pacific region optimize performance and maintain availability while using GitHub Enterprise Cloud.\n\n- [Repositories: Ruleset history, import and export are generally available](https://github.blog/changelog/2025-02-13-repositories-ruleset-history-import-and-export-are-generally-available/): Import and export makes it easy to share and reuse rulesets, including our collection of [ruleset-recipes](https://github.com/github/ruleset-recipes) to help get you started.\n\n- [Repositories – Enterprise rules and custom properties updates](https://github.blog/changelog/2025-02-18-repositories-enterprise-rules-and-custom-properties-updates/): Enterprise custom properties as part of the current preview can now be promoted from an organization to an enterprise property. Required workflows are now available as a new rule in the enterprise code rules preview.\n\n## Projects and Issues\nGitHub's Planning and tracking tools\n\n__Changelog__\n\n- [Evolving GitHub Issues (public preview)](https://github.blog/changelog/2025-01-13-evolving-github-issues-public-preview/): Following our opt-in preview last year, we are excited to release sub-issues, issue types and advanced search for issues to everyone! \n\n## Developer skills\nGeneral developer expertise based on our own experience and the collective experience of our customers and partners. \n\n__Blog__\n\n- [How we built the GitHub Skyline CLI extension using GitHub](https://github.blog/developer-skills/application-development/how-we-built-the-github-skyline-cli-extension-using-github/): GitHub uses GitHub to build GitHub, and our CLI extensions are no exception. Find out [how we built the GitHub Skyline CLI](https://github.com/github/gh-skyline) extension using GitHub!\n\n__Executive Insights__\n\n- [The art of engineering team focus: less is more](https://resources.github.com/developer-productivity/engineering-team-focus/): As engineering leaders, we’re always being asked to get the most out of engineering teams. This is most often measured by what things we can ship, and how fast. But it can be easy to fall into a common trap: doing too much at once, convinced that more parallel work means more output. What if the key to shipping more is actually doing less?\n\n## Engineering\nAn inside look at how we’re building the home for all developers. Resources based on our internal experiences.\n\n__Blog__\n\n- [How GitHub uses CodeQL to secure GitHub](https://github.blog/engineering/how-github-uses-codeql-to-secure-github/): How GitHub’s Product Security Engineering team manages our CodeQL implementation at scale and how you can, too.\n\n---\n\nThat’s it for the first installment of ICYMI - GitHub Enterprise Edition. Check back in to the [GitHub Executive Insights](https://github.com/solutions/executive-insights) at the beginning of next month to see key updates or you can [join the discussion](https://github.com/orgs/community/discussions/153476) today! 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