6-7 loops we use everyday to make PostHog self-driving

A PostHog self-driving team member describes how automated “loops” combine monitoring, triage, implementation, human review, and post-deployment validation to improve products and internal systems. These loops collect structured MCP agent feedback, Slack bug discussions, GitHub issue specifications, metric anomaly alerts, session-recording observations, and runtime logs; scouts then group duplicate signals, investigate likely causes, route reports to owners, and sometimes initiate pull requests. Examples include adding a missing MCP tool, fixing task-link permissions, implementing skill renaming, resolving a deployment compatibility issue, improving user-facing provider-error handling, and preventing oversized sandbox metadata tags. Human contributors primarily define specifications, guide investigations when needed, review reports and code, and approve merges, while the automated scouts continue checking whether fixes work in production and consolidate recurring evidence rather than creating redundant investigations.

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