AI Agent Engineering Blog

Practical guides to building, monitoring, and scaling Claude Code agent teams — from memory architecture to pipeline orchestration.

Architecture··11 min read

AI Agent Memory Management: How to Build a Knowledge System Your Agents Won't Outgrow

A practical guide to memory architecture for Claude Code agents. Daily logs, evergreen files, health scoring, temporal decay, and the patterns that keep multi-agent context sharp.

memoryagentscontext engineeringCLAUDE.mdtutorial
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Operations··11 min

AI Agent Observability: How to Dashboard Claude Code When All You Have Is a Terminal

Why CLI-based AI agents need observability tooling, what to monitor, and how to build a real-time dashboard for Claude Code agent teams.

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Operations··13 min

How to Build AI Agent Pipelines That Don't Break at 3 AM

Design reliable cron pipelines for Claude Code agent teams. DAG orchestration, health checks, failure handling, and cost-aware scheduling.

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Architecture··11 min

Context Engineering for Multi-Agent AI: How to Feed Your Agents the Right Information

How to structure CLAUDE.md files, SOUL.md personas, and agent registries so every agent in your team gets the context it needs and nothing it doesn't.

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Architecture··8 min

Claude Code Rate Limits Explained: Why You Hit 'API Error' at 6% Usage

Why Claude Code says 'Rate limited' when your usage is at 6%. Three types of limits, how to diagnose them, and practical fixes.

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Operations··10 min

How to Monitor Claude Code Usage and Costs (Without Squinting at a Terminal)

Track your Claude Code spending with a real web dashboard. See 5-hour utilization, weekly caps, per-agent costs, and AI optimization tips.

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Architecture··4 min

Taming Agent Sprawl: How to Structure AI Agent Teams That Actually Ship

Most AI agent setups collapse under their own complexity. Here's a practical framework for organizing Claude Code agent teams — hierarchy, memory, naming, and the patterns that keep multi-agent systems productive.

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