Gou Rao, co-founder of Neubird, discusses how their AI-powered tool Hawkeye transforms DevOps incident response by using LLMs to reason across telemetry data rather than just generate responses. Unlike traditional AI assistants, Hawkeye acts as a digital engineer that investigates logs, metrics, and traces to diagnose issues and suggest remediation steps. The system prioritizes accuracy over speed, taking minutes to provide well-reasoned analysis while showing its chain of thought for transparency. Currently focused on recommendations rather than autonomous actions, Hawkeye helps teams from startups to enterprises reduce time spent on alert triage and root cause analysis.
Table of contents
A Career Rooted in Data and AIFrom Stack Traces to Reasoning EnginesBuilding a Digital EngineerTelemetry-First, Not Model-FirstScaling from Startups to EnterprisesWhat About Autonomous Actions?Trying Out HawkeyeFinal Thoughts: A Teammate, Not a Tool29 Impressions