We don't publish
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.
IFIn distributed inference with KubeRay, quantized models (AWQ, GPTQ) fail because CUDA_VISIBLE_DEVICES is incorrectly overridden to an empty string, while non-quantized models work.
THENExplicitly set the CUDA_VISIBLE_DEVICES environment variable for each Ray worker pod to the correct GPU indices (e.g., CUDA_VISIBLE_DEVICES=0 for worker 0). This prevents the override and allows quantized model inference to proceed.
Connect your site → query the full pool
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.
Connect a site