Open source practitioners from CNCF projects and GitHub share early findings from experiments with AI agents that execute GitHub tasks through natural language requests—transforming how maintainers manage open source workflows.

We'll demonstrate real agentic workflows in action:
- Automated contribution tracking and reporting across 19 maintainers
- PR review summaries and triage recommendations
- Issue classification and labeling at scale
- Documentation updates triggered by code changes
- Dependency management and security patch workflows

What seemed straightforward quickly exposed critical challenges: API rate limits, DCO compliance, token optimization, and governance rules.

Attendees will leave with:
- A tested framework for evaluating agentic workflows in their own projects
- Battle-tested patterns and pitfalls from production deployments
- Strategies for building hybrid human-agent support communities that share solutions to common blockers
- Actionable recommendations for Linux Foundation to accelerate ecosystem-wide adoption
- Practical next steps to implement these innovations while preserving open source collaboration values