Large language models (LLMs) may represent a shift in how open source communities support their members. This talk explores the nuanced and evolving role of LLMs in fostering community engagement. Specialized companies offer tailoring of LLM and automation of responses to technical questions. We will explore a range of adoption options from cautious, opt-in approaches confined to specific channels to fully embracing LLMs for first-line support across forums. These strategies raise questions like:

• Could automation stifle organic, person-to-person connections in communities, or can it expedite learning and enable meaningful contributions from newcomers?
• How do LLMs reshape the balance between in-person and digital interactions, and what does this mean for the future of community building?
• Are LLMs the natural evolution of IRC-era bots, or will they alter the patterns of open source collaboration?

We’ll look at case studies from real communities. Attendees will get actionable insights for navigating the adoption of LLMs in their own communities, striking a balance between automation and authentic human connection.