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May 4, 2026 · Artificial Intelligence
Agent Principles, Architecture, and Engineering Practices for Stable AI Systems
The article breaks down the core loop of AI agents, distinguishes agents from static workflows, and presents engineering practices—such as harness testing, context management, skill loading, tool design, memory handling, multi‑agent coordination, evaluation reliability, and security—that are essential for building robust, cost‑effective agents.
AI agentsAgent architectureMemory management
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