# Debug and evaluate your AI app from your coding agent with Datadog Agent Observability

DevFeed: [Debug and evaluate your AI app from your coding agent with Datadog Agent Observability](<https://devfeed.tech/articles/debug-and-evaluate-your-ai-app-from-your-coding-agent-with-datadog-agent-observability-2263.md>)

Original publisher: [Read original article](<https://www.datadoghq.com/blog/debug-and-evaluate-your-ai-app-from-your-coding-agent/>)

Author: Michael Bevilacqua-Linn; Till W; Tanguy Renaudie; Mehul Sonowal; Gabriele Lorenzo; Alex Barksdale

Published: 2026-06-30T00:00:00Z

Content type: article

Language: en

Sources: [Datadog | The Monitor blog](<https://devfeed.tech/sources/datadog-the-monitor-blog.md>)

Topics: [agent observability](<https://devfeed.tech/topics/agent-observability.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [AI Engineering](<https://devfeed.tech/topics/ai-engineering.md>), [observability](<https://devfeed.tech/topics/observability.md>), [MCP](<https://devfeed.tech/topics/mcp.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Traces](<https://devfeed.tech/topics/traces.md>), [debug](<https://devfeed.tech/topics/debug.md>), [experiments](<https://devfeed.tech/topics/experiments.md>)

Tags: [agent-observability](<https://devfeed.tech/tags/agent-observability.md>), [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [ai-observability](<https://devfeed.tech/tags/ai-observability.md>), [analysis](<https://devfeed.tech/tags/analysis.md>), [api](<https://devfeed.tech/tags/api.md>), [claude](<https://devfeed.tech/tags/claude.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [cli](<https://devfeed.tech/tags/cli.md>), [code](<https://devfeed.tech/tags/code.md>), [codex](<https://devfeed.tech/tags/codex.md>), [coding](<https://devfeed.tech/tags/coding.md>), [command-line](<https://devfeed.tech/tags/command-line.md>), [cursor](<https://devfeed.tech/tags/cursor.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [debug](<https://devfeed.tech/tags/debug.md>), [eval](<https://devfeed.tech/tags/eval.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [observability](<https://devfeed.tech/tags/observability.md>)

## AI overview

This article explains how to use Datadog Agent Observability from coding agents such as Claude Code, Cursor, and Codex CLI. It presents the Datadog MCP Server, Pup CLI, and Agent Skills as ways to access traces, evaluation results, experiment metrics, and other telemetry for classifying sessions, debugging production failures, creating evaluation datasets, and generating fixes.

## Source excerpt

Learn how to give your coding agent access to Datadog Agent Observability data to classify failures, run RCA, bootstrap evaluators, and generate fixes.