Multi-agent AI sounds great until you are on-call. Everyone sells swarms, but production systems fail under load. When agents trigger infinite tool-call loops, you are just debugging code in the dark
Multi-agent hype is easy; production is hard. I’m digging into the messy reality of recursive tool-call loops that destroy your latency budgets. Let's move past the demos and look at the architectural patterns to keep your systems stable.
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Multi-agent production isn't just chaining LLMs; it's managing chaos. Teams lose weeks to infinite tool-call loops that wreck latency budgets. I’m sharing the architectural guardrails needed to keep your agents stable and truly production-ready.
Everyone treats multi-agent frameworks like magic, but I have spent enough time on-call to know they are just distributed systems with worse debugging
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