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Multi-agent hype ignores the operational reality of complex AI. We built the demos, but production means debugging infinite tool-call loops and silent stalls. Treat agents like flaky microservices, not magic
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Scaling multi-agent systems is hard. I’ve seen agents trigger infinite tool-call loops that tank latency. If you're moving to production, you need failure patterns. I’m sharing how we keep agents stable in the wild
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Here is the description for your post, crafted to be both practical and punchy: **Short Description (247 characters):** Multi-agent systems look great until you hit your first infinite tool-call loop that tanks your latency budget