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Leveraging AI for efficient incident response
We’re sharing how we streamline system reliability investigations using a new AI-assisted root cause analysis system. The system uses a combination of heuristic-based retrieval and large language m…
We’ve streamlined our investigations through a combination of heuristic-based retrieval and large language model (LLM)-based ranking to provide AI-assisted root cause analysis. Additionally, we anticipate that we can further streamline the development process by utilizing AI to detect potential incidents prior to code push, thereby proactively mitigating risks before they arise. We wish to thank contributors to this effort across many teams throughout Meta, particularly Alexandra Antiochou, Beliz Gokkaya, Julian Smida, Keito Uchiyama, Shubham Somani; and our leadership: Alexey Subach, Ahmad Mamdouh Abdou, Shahin Sefati, Shah Rahman, Sharon Zeng, and Zach Rait.
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