4,063 errors closed without a human opening PostHog – here's what we learned

Last month, AI agents deployed to PostHog projects effectively addressed 6,124 errors by resolving 4,063 issues, suppressing 1,751, and routing 310 to the appropriate teams, showcasing the potential for self-driving products to manage routine tasks. The agents performed triage actions that fell into three categories: resolving issues, suppressing known noise, and rerouting errors to the correct owners. This process highlighted the need for distinct tools for different tasks and demonstrated that errors serve as starting points for deeper investigations into surrounding events and user data. The effectiveness of AI-driven triage was particularly notable in handling bulk operations like suppressing third-party noise or routing platform-specific crashes, which previously required extensive manual effort. The insights gained from this deployment suggest a need for better business-surface filtering and the importance of focusing on distinct workflows for resolution, suppression, and routing to enhance efficiency and maintainability in error management.

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