When developers purchase their own AI tools, it signals unmet needs rather than a simple compliance problem. Instead of implementing a blanket ban, here's how your organization can provide safe, viable alternatives. Learn more in GitHub's Agentic Engineering System about creating an agent-native platform that supports the developer experience and drives customer value. https://lnkd.in/e7nyK67y
GitHub Enterprise
Software Development
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Updates
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Did you know? You can run agents in parallel in the GitHub Copilot app. Each session gets its own Git worktree and context, so you can build, review, and test all at the same time. https://lnkd.in/enkMgn7r
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In this episode of GitHub for Leaders, we speak with Sagnik Nandy, CTO at Docusign. Discover how Docusign leveraged an 85-person AI champion network to roll out GitHub Copilot across their engineering org, leading to around 75% of new code being AI-assisted. https://lnkd.in/eyDGziac
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Every project has its own conventions, scripts, and code style. Here's how to teach the GitHub Copilot app your teams' specific project standards. Learn how to set up custom instructions in your teams' .github folder, create repeatable skills for testing, assign custom agents, and connect MCP servers like Playwright for browser testing. Download the app today: https://lnkd.in/gq3rPiq5
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What if your teams could describe their ideal workspace interface and have AI agents build them in seconds? Canvases in the GitHub Copilot app give enterprise teams, engineering managers, and developers fully customizable, bidirectional surfaces for collaborating with AI agents. Learn how to use the /create-canvasskill to build shared release checklists, kanban boards, and triage surfaces using plain English. Download the app today: ⬇️ https://lnkd.in/ewXrpFPX
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The September 2026 edition of the GitHub Monthly Enterprise Roundup is here. 🆕 Whether you lead an engineering organization or build software every day, use this roundup to prioritize three actions: ➡️ Establish an agentic engineering operating model ➡️ Measure adoption by outcomes rather than output ➡️ Embed automated quality, security, and human approval into every AI-assisted workflow
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GitHub Enterprise reposted this
When developers first start using AI, it may seem more like a toy. They start with basic code completion or chat. But when it's time to scale its impact across their engineering teams, that's where integration stalls. Find out how to implement AI as a core workflow tool, with a real-life example of automating the documentation lifecycle using AI agents. Learn more about GitHub's Agentic Engineering System. gh.io/aes-framework
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In this episode of GitHub for Leaders, we speak with T. Alexander Lystad, Chief Technology Officer at Visma. Learn how this company with thousands of engineers rolled out GitHub Copilot and ultimately moved from developing with AI to agent orchestration, resulting in one Visma company clearing its entire first-quarter roadmap ahead of schedule. https://lnkd.in/eQWbiksX
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GitHub is proud to join STATION F’s F/ai Batch 2 as a new partner. This program brings together some of Europe’s most promising AI-native startups with leading technology companies and investors to help founders move faster from breakthrough technology to scalable businesses. We’ll be working directly with the cohort through GitHub for Startups, providing hands-on technical support and access to the GitHub platform and ecosystem. Because the best time to build a relationship with tomorrow’s category leaders is while they’re still building. 🚀 https://gh.io/github-fai
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