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.
IFLogged loss is not divided by gradient accumulation steps, resulting in larger than expected loss values during training with gradient accumulation.
THENModify the `_maybe_log_save_evaluate` method in the Trainer class to pass the number of gradient accumulation steps (ga_steps) and divide the accumulated loss by ga_steps when computing the logged loss. Specifically, change the line computing `logs["loss"]` to: `round(tr_loss_scalar / ga_steps / (self.state.global_step - self._globalstep_last_logged), 4)`. Also update the call sites to pass `self.args.gradient_accumulation_steps` or `num_batches` accordingly.
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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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