coding-agents

agent observability, AI agent harness, AI Agents, Arize AX, claude-code, Codex, coding-agents, cursor, Evals, gemini-cli, github-copilot, harness tracing, harness-engineering, LLM observability, MCP, Open Source, OpenTelemetry, phoenix

Coding agent tracing and evaluation: An open source tool to improve AI coding workflows

Announcing coding harness tracing for observing, evaluating, and improving coding agent workflows across Claude Code, Cursor, Codex, GitHub Copilot, and Gemini CLI.

The post Coding agent tracing and evaluation: An open source tool to improve AI coding workflows appeared first on Arize AI.

agent evaluation, agent observability, ai-reliability, autonomous agents, coding-agents, context platform, debugging agents, feedback loops, Observability & tracing, OpenInference, phoenix, self-improving agents, tracing

From observability to context: What’s next for Arize Phoenix

As agents start changing software, they need a way to verify their work that includes traces, evals, feedback, and APIs. This is where Phoenix goes next — not the next release, but what this product becomes.

The post From observability to context: What’s next for Arize Phoenix appeared first on Arize AI.

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