Designing Antigravity Agent Traces That Tell You Why It Failed — Observability in Practice
Run Antigravity agents long enough and unreadable failure logs pile up fast. This piece walks span structure, attribute design, failure tagging, dashboards, cost visibility, and retry policy — backed by six months of production metrics — so you can cut post-incident debugging time in half.
Observing Antigravity AI Agents with Langfuse — A Practical Setup Before You Ship
Before you push an Antigravity AI agent to production, wire up Langfuse so you can actually see traces, token spend, and cost. A hands-on guide with real Python code and lessons from the field.
Antigravity × Prometheus + Grafana — Build an Application Monitoring Stack with AI Agents
Learn how to build a production-ready application monitoring stack with Prometheus and Grafana using Antigravity's AI agents. Covers metrics collection, alert rules, and dashboard creation step by step.
Antigravity × OpenTelemetry: Building an AI-Driven Observability Pipeline — A Practical Guide to Unified Traces, Metrics, and Logs
Build a production-grade observability pipeline using Antigravity's AI agents and OpenTelemetry. Learn to instrument distributed tracing, collect metrics, aggregate logs, and implement AI-powered anomaly detection with auto-remediation.