Free Lesson
Automating Evals With Claude Code + Phoenix
Part of The AI Evaluation Handbook
60 min
Feb 19, 2026 4:00 PM
Virtual (Zoom)
In this video
What you'll learn
Connect Claude Code to Phoenix observability data
Set up the toolchain to give Claude Code direct CLI access to your Phoenix traces, spans, and performance metrics.
Use CLI commands to fetch traces and debug agents
Learn important Phoenix CLI tools for retrieving observability data and identifying errors in agent-generated code.
Prompt AI to analyze system behavior in real-time
Practice natural language prompts that enable Claude Code to interpret traces, diagnose issues, and suggest fixes.
Why this topic matters
As AI agents like Claude Code write more of our code, they need the same visibility into system behavior that human developers have relied on. Observability data: traces, spans, latency and errors are no longer just for dashboards and human eyes. This hands-on session covers how to give Claude Code direct access to your Phoenix observability data via the CLI.
You'll learn from

Mikyo King
Head of Open Source. Building the future of AI Observability at Arize AI

Hamel Husain
ML Engineer with 20 years of experience
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