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• Comment Link Domingo, 17 Mayo 2026 13:34 posted by Ella Sims

  This is a solid overview, but I’m curious, what’s the eval setup for these benchmarks? I’ve been tracking a growing list of "demo-only tricks" that consistently break under load in production environments multi-agent agents updates 2026
• Comment Link Domingo, 17 Mayo 2026 13:31 posted by Jose Carpenter

  This implementation looks sleek, but I’m curious about the underlying performance metrics. Specifically, what’s the eval setup? I’ve started a running list of demo-only tricks that break under load once concurrency exceeds 500 requests per second multi-agent agent systems
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• Comment Link Domingo, 17 Mayo 2026 11:41 posted by Zachary Richards

  It's great to see more people shipping LLM apps, but what’s the eval setup behind these benchmarks? Many of the implementations I see rely on demo-only tricks like aggressive prompt-chaining that inevitably break under load multi-agent agents updates 2026
• Comment Link Domingo, 17 Mayo 2026 11:40 posted by Mabel Simmons

  This implementation looks promising, but what’s the eval setup? I’ve started a running list of "demo-only tricks" that inevitably break under load, so I’m wary of claims that it simply "runs fast." Instead, you should clarify if it maintains 99 AI orchestration 2026