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.
IFvLLM fails to use FlashAttention 3 on Blackwell GPUs (compute capability >= 10, e.g., RTX 5090) with error: 'Cannot use FA version 3 is not supported due to ... Blackwell archs (>=10)'.
THENSwitch to the Flashinfer attention kernel instead of FA3. Set the environment variable to use Flashinfer (e.g., VLLM_ATTENTION_BACKEND=flashinfer) as documented in the vLLM user guide for Blackwell.
IFvLLM fails to use FlashAttention 3 on older NVIDIA GPUs with compute capability < 9.0 (e.g., RTX 3090, RTX Pro 6000) with similar FA3 unsupported error.
THENSet the VLLM_USE_AITER_UNIFIED_ATTENTION=1 environment variable as a workaround for non-Blackwell GPUs. Note that this is not officially supported for compute capabilities below 9.0.
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