Leveraging AI for efficient incident response

Meta's team detailed their new AI system that utilizes heuristic-based retrieval and large language model-based ranking to effectively identify root causes during system reliability investigations. Achieving a 42% accuracy rate in root cause identification at the creation time of investigations related to their web monorepo, the system shows promising advancements in AI-assisted tooling for faster and more precise incident response.

• The AI system achieved 42% root cause identification accuracy.
• AI tools are used to speed up system reliability investigations.
• Heuristic retrieval and LLM ranking streamline root cause analysis.
• The system was tested on Meta's web monorepo.
• Root causes can be identified rapidly at the start of an investigation.