Meet GCX: Give Your AI Coding Agent Production Context
Your AI agents are only as good as the context it has. Without access to what's happening in production, it can only make educated guesses.
Chapters:
00:00 Introduction
00:01:04 Installing GCX
00:02:42 Authenticating with Grafana
00:02:47 Installing Built-in Skills
00:05:42 Security & Token Redaction
00:06:03 Querying Metrics from the CLI
00:06:44 Real-World Debugging Demo
00:10:15 Finding the Root Cause
00:12:42 Token Usage & Cost Breakdown
00:13:20 Verifying the Fix
00:14:10 Final Thoughts
In this video, you'll meet GCX. The bridge between AI coding agents like Claude Code, Codex, Cursor, and your Grafana observability stack. You will learn how GCX securely gives AI agents access to metrics, logs, traces, dashboards, and other production telemetry so they can investigate issues, answer questions, and help you debug with real operational context.
Whether you're troubleshooting an incident, exploring your services, or building AI-powered development workflows, GCX helps bring production intelligence directly into your coding experience.
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LinkedIn: (https://www.linkedin.com/company/grafana-labs/)
Facebook: (https://www.facebook.com/grafana)
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