This approach looks promising, but what’s the eval setup? I’ve started a running list of "demo-only tricks" that break under load, and this feels like it might hide latency spikes that only emerge at 50 requests per second <a href="https://kilo-wiki.win/index.php/Multi-agent_AI_frameworks:_what_should_I_demand_before_I_adopt_one%3F" rel="nofollow ugc">multi-agent context engineering</a>
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05/17/2026
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05/17/2026
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This is a solid overview, but I’m curious what’s the eval setup behind these performance metrics? I’ve seen similar claims before, yet they often rely on demo-only tricks that break under load <a href="https://medium.com/@philip-davis00/the-hidden-math-behind-multi-agent-ai-budgeting-55cd04ee89dc" rel="nofollow ugc">multi-agent systems coverage</a>
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05/17/2026
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This approach looks interesting, but I have to ask: what’s the eval setup? I've spent too much time debugging systems that rely on those 'demo-only tricks' that inevitably break under load <a href="https://www.anime-planet.com/users/connormitchell83" rel="nofollow ugc">multi-agent ai news 2026</a>
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05/17/2026
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