Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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.
Sample rules shown
1
Categories
2258
Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
attention_mask
ai-agents-attention-mask-when-using-attn-implementation-sdpa-with-an-attent-7a52ec6c
IFWhen using `attn_implementation="sdpa"` with an attention mask containing at least one False element, setting `is_causal=False` has no effect due to `LlamaModel._prepare_4d_causal_attention_mask_with_cache_position` always returning a causal mask.
THENModify `_prepare_4d_causal_attention_mask_with_cache_position` to accept an `is_causal` parameter and return a non-causal mask when `is_causal=False`. Alternatively, simplify the mask preparation by relying on PyTorch's SDPA built-in `is_causal` parameter and using a simpler mask when possible, reducing unnecessary allocations.
Tier 170%
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