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
distributed_evaluation_contiguous_error
performance-distributed-evaluati-runtimeerror-tensors-must-be-contiguous-occurs-dur-4fc7a947
IFRuntimeError: Tensors must be contiguous occurs during evaluation with multiple GPUs (torch.distributed or DeepSpeed) on models like GPT-J, GPT-NeoX-20b, CodeGen-16B, but not on models like GPT-2 or OPT-13B.
THENAdd `.contiguous()` calls to tensor operations before gathering logits across GPUs. This ensures tensors are stored contiguously in memory, preventing the RuntimeError in `distributed_concat` or similar functions. Modify the model's forward method or the relevant utility to check and enforce contiguity, e.g., `if not logits.is_contiguous(): logits = logits.contiguous()`.
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