# Debugging Production Agents with Amazon Bedrock AgentCore Observability

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-06-29T17:25:21.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 140/100  
> **Primary Source:** [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/debugging-production-agents-with-amazon-bedrock-agentcore-observability)  
> **Canonical Citation:** [https://spidits.com/timeline/debugging-production-agents-with-amazon-bedrock-agentcore-observability](https://spidits.com/timeline/debugging-production-agents-with-amazon-bedrock-agentcore-observability)

## Executive Summary
In this post, you learn how to debug production agent failures using built-in observability capabilities.

## Why It Matters (Strategic Analysis)
Crucially, this shifts the paradigm for AI agent debugging from mere error detection to comprehensive understanding of decision-making processes, empowering developers to address quality, reliability, and efficiency issues.

## Referenced Coverage & Sources
- **[AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/debugging-production-agents-with-amazon-bedrock-agentcore-observability)**: Debugging production agents with Amazon Bedrock AgentCore Observability — _In this post, you learn how to debug production agent failures using built-in observability capabilities. We walk through common failure patterns, show how to..._

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