Thanks — I’ll answer why and when to use each option with fact‑grounded reasons.
Slack #ask-ai — when to use it
• Use it when you want human, community-driven input: real people can share experience, alternative approaches, and subjective trade-offs.
• Use it for contextual troubleshooting that benefits from back-and-forth: paste logs, short code snippets, runtime errors, or environment details so others can ask clarifying questions and iterate.
• Use it for architectural or best-practice discussions: design tradeoffs, workflow suggestions, and pattern recommendations that benefit from multiple perspectives.
• Use it to share observability or agent behavior examples to get prompt/flow improvement ideas from people who’ve seen similar issues.
LiveKit Docs MCP Server — when to use it
• Use it when you need precise, documentation-backed answers during a coding session: exact method signatures, config options, and authoritative API usage.
• Use it when an agentic coding assistant needs real-time doc lookups to generate correct, non‑hallucinated code or inline suggestions.
• Use it for deterministic, repeatable answers that must match the current LiveKit API and examples.
Facts about community participation
• There’s no data here showing actual reply counts or participation rates in #ask-ai.
• The channel is designed to enable community replies; however, I cannot confirm how often threads include more than the original poster plus the LiveKit Assistant App.
Recommendation (practical)
• If your goal is documentation-accurate code or an agentic coding session, use the Docs MCP Server.
• If you want human judgment, broader experience, or iterative troubleshooting, post in #ask-ai and include clear context (SDK/version, platform, logs, minimal repro). That maximizes the chance others will engage.
Would you like a short template to paste into #ask-ai that elicits useful community replies?
, with interactive elements