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This paper describes Gorilla, an in-memory time series database developed at Facebook that achieves high performance through a novel compression algorithm, enabling storage of billions of time series and fast querying for production monitoring.
A real estate firm built an AI agent for Facebook page management, dogfooding it for 10 days on their own page. They share lessons on drift detection, policy-gated runtimes, and API stability, highlighting that production behavior reveals orchestration and integration failures beyond model intelligence.
The article discusses an accidental recreation of Facebook's older interface or functionality.