GitHub Agentic Workflows Factory Tour

[!IMPORTANT] GitHub Agentic Workflows and the gh-aw CLI are in public preview. You may notice product changes, rough edges, or minor differences from the screenshots and examples in this workshop.

• Workshop docs

What you will learn to build

Build a real AI-powered GitHub workflow from scratch and leave with a safe production-style agentic automation you can adapt to your own repositories.

Why this workshop

Most workflow tutorials stop at toy examples. This workshop takes you all the way to a useful end result: an agentic workflow that runs in GitHub Actions, inspects a repository, and publishes a daily status report automatically.

By the time you finish, you will know how to:

• define an agentic workflow in Markdown
• use the gh-aw CLI to validate, run, and iterate on workflows
• connect triggers, prompts, and GitHub context into one practical automation
• adapt the pattern for scheduled reporting, documentation upkeep, PR review, and more

What you'll build

You'll build a scheduled, AI-powered repository status report that runs in GitHub Actions and posts a useful summary without custom shell-script orchestration.

Who this is for

What makes this different from a classic Actions tutorial

Instead of spending most of your time wiring together scripts, conditionals, and API calls, you define the workflow in a Markdown brief and let the agent reason over the repository at runtime.

That means you focus on:

• the task you want completed
• the repository context the agent should use
• the trigger that should run the workflow
• the output that should be published back to GitHub

Ready to begin?

:arrow_right: Start with workshop/00-welcome.md

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:copyright: GitHub • Code of Conduct • MIT License

[!NOTE] Microsoft and GitHub facilitators: Request a demo environment at aka.ms/golden-ticket.