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.
IFCalling `trainer.evaluate()` before any `trainer.train()` when using FSDP2 (via `accelerate`) raises a `ValueError` because the optimizer is not prepared.
THENEnsure that `trainer.train()` is called before `trainer.evaluate()` when using FSDP2. If evaluation is needed without training, either set `num_train_epochs=0` and call `train()` first, or subclass `Trainer` to prepare a dummy optimizer via `self.accelerator.prepare(self.model, optimizer)` in `__init__`. This prevents the error because FSDP2 requires the optimizer to be passed together with the model.
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