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your competitive advantage.
AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
IFDashboard widget for Unique User IDs count returns total trace count instead of distinct count when using Big Number chart type.
THENFix the query builder's translateAggregation to avoid wrapping distinct metrics in an additional count(). Instead, use the metric's sql directly (e.g., uniq(traces.user_id)) for count aggregations. This ensures unique user IDs are counted correctly, not the total number of traces. The patch is implemented by adjusting the 'count' case to skip aggregation when the metric already uses uniq().
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What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
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