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 trainer.train() under FSDP2 raises ValueError: 'When using FSDP2, a model and optimizer must be passed together to Accelerator.prepare()'
THENWorkaround: subclass Trainer and in __init__ call self.accelerator.prepare(self.model, dummy_optimizer) to satisfy FSDP2. A permanent fix is to ensure the prepare logic is also applied in evaluate path, not just in _inner_training_loop.
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.
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