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Discusses how cascading recovery and feedback loops can cause metastable failures in distributed systems, preventing proper recovery.
Explains why unbounded queues are a bug in software systems, using Little's Law and the bathtub analogy to show that queues only absorb variance, not sustained load. Discusses latency death spirals and advocates for backpressure instead.
The article discusses common failure patterns in agentic AI systems, specifically 'dumb AI loops,' citing issues like state poisoning and data leaks observed in Claude Code deployments.