Stop Writing YAML. Start Using Agentic Workflows.

Description

GitHub is moving past traditional automation with Agentic Workflows, a new project that allows you to manage CI/CD pipelines using natural language instead of rigid code. We’ll show you how to set up an AI DevOps assistant that uses "Productive Ambiguity" to exercise judgment and maintain code quality autonomously within your repository. Learn how to bridge the gap between AI intelligence and standard security guardrails to build a self-governing system that modernizes your development workflow. 🔗 Relevant Links Github Agentic Workflows: https://github.github.com/gh-aw/ ❤️ More about us Radically better observability stack: https://betterstack.com/ Written tutorials: https://betterstack.com/community/ Example projects: https://github.com/BetterStackHQ 📱 Socials Twitter: https://twitter.com/betterstackhq Instagram: https://www.instagram.com/betterstackhq/ TikTok: https://www.tiktok.com/@betterstack LinkedIn: https://www.linkedin.com/company/betterstack 📌 Chapters: 00:00 Intro 00:34 What are GitHub Agentic Workflows 01:09 Security First: Intelligence with Guardrails 01:52 Installation & The Two-Step Process 02:25 Live Demo: Setting up the Agent 03:17 Creating the AI Auditor (Natural Language) 04:24 Testing the Agent with a Pull Request 05:38 Main Takeaways and Thoughts