Our exploration spans several key areas where AI could transform how we operate production systems:

• System Understanding - Building tools that help LLMs understand complex environments through logs, metrics, traces, documentation, and team knowledge. Exploring how models can build and maintain accurate mental models of our systems.
• Operational Tools - Developing CLI tools and interfaces that understand intent and context. Investigating how LLMs can augment existing tooling and create new types of tools for production operations.
• Incident Response - Exploring how LLMs can help investigate issues, identify root causes, and guide remediation. Understanding the balance between automation and human judgment in incident response.
• Infrastructure Optimization - Building tools that can reason about system behavior, resource usage, and cost. Investigating how LLMs can help optimize infrastructure decisions.
• Knowledge Management - Understanding how LLMs can help capture, organize, and apply operational knowledge. Exploring ways to maintain accurate and up-to-date system understanding.