Genie by Cosine

Genie by Cosine is an AI-native debugging and observability tool that helps engineers understand, diagnose, and resolve issues in complex systems. It ingests logs, traces, metrics, and other telemetry data, then uses large language models to automatically surface patterns, anomalies, and likely root causes. Engineers can ask natural-language questions such as “Why did latency spike for EU users yesterday?” or “What changed before this error started?” and Genie translates these into precise queries across their observability stack. The tool correlates events across services, deployments, and time ranges, providing concise, context-rich explanations instead of raw data streams.

Key capabilities include automated incident analysis, regression and change impact detection, and intelligent log summarization. Genie can map symptoms to relevant code, configuration, and infrastructure changes, helping teams move from alert to understanding in minutes. It integrates with existing logging and monitoring systems, reducing the need to manually pivot between dashboards and ad-hoc queries. Typical use cases include production incident response, post-incident reviews, performance investigations, and ongoing reliability monitoring. By turning fragmented telemetry into coherent narratives, Genie enables engineering teams to debug faster, reduce mean time to resolution, and maintain a clearer mental model of their distributed systems.