GitHub Agentic Workflows aim to automate routine tasks in software development, streamlining repository management. Imagine waking up to a set of improvements tailored to your projects each morning, all without manual intervention. Workflows can automatically triage issues, analyze continuous integration (CI) failures, maintain documentation, and enhance tests. This automation is defined in simple markdown files, making it more accessible than traditional YAML configurations. These workflows leverage AI engines like GitHub Copilot and OpenAI Codex, allowing for event-triggered and scheduled tasks that enhance existing CI/CD processes with continuous AI capabilities. Developed by GitHub Next and Microsoft Research, the system emphasizes security with features like sandboxed execution and minimal permissions. By default, workflows operate in a read-only mode, requiring explicit approval for write operations to ensure safety. A practical example highlighted is the Daily Issues Report, where an AI agent can generate status updates by analyzing repository context. The workflows support various functionalities, including automated issue management, documentation upkeep, code improvements, and analytics. Setting up these workflows is straightforward; users can install the extension and create custom workflows using natural language directly from the GitHub interface. This approach aims to simplify the process of integrating AI into software collaboration while maintaining a focus on security and user control.