Writing
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Thoughts on AI systems, distributed architecture, security, cryptography, and the craft of building software that matters.
Most multi-agent systems fail because teams mix up reasoning, memory, and orchestration. Planner-worker designs usually win because they keep coordination explicit, contexts narrow, and failure easier to debug.
Most token burn in agent systems is self-inflicted. The real problem is usually not the hard context limit but context rot: too much stale state, too much raw tool output, and too little discipline about what belongs in the prompt.