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The article argues that AI agent development should rely on stable execution primitives rather than rigid frameworks, which frequently change with emerging orchestration patterns. It emphasizes durable steps, persistent state, parallel coordination, event-driven flow, and observability to prevent costly rewrites as best practices evolve.