Posts tagged “agents”

Error recovery determines whether your Claude Code subagents crash on transient failures or degrade gracefully. Learn retry logic, loop detection, and circuit breakers that prevent runaway costs.

Master the techniques for debugging AI agents in production: reading execution transcripts, tracing tool calls, identifying failure patterns, and building custom analyzers that catch problems before users do.

Correlation IDs turn a scatter of disconnected logs into one queryable timeline. This guide shows how they let AI agents debug distributed systems faster, unlock new UI features, and reason across every boundary a request crosses.

The shift from vibe coding to agentic engineering represents a fundamental change in how developers work with AI. This guide breaks down how modern AI coding agents actually execute tasks, manage context, and create autonomous PRs in production.

The Claude Agent SDK transforms AI agents from proof-of-concept toys into production systems. This guide covers the architecture, MCP integration patterns, and real-world deployment strategies that separate working agents from robust ones.