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.
IFPydantic AI traces in Langfuse show empty input/output values and use unhelpful span names like 'logfire.msg_template' when using the Langfuse Pydantic AI integration.
THENUpgrade to Langfuse SDK version 2.57.3 or later. Avoid manually creating and passing a parent trace/span when using the `observeOpenAI` wrapper, as this prevents automatic population of input/output data. Explicitly set the output using `langfuse.trace()` after your generation call. To customize span names, specify the `name` parameter when creating a span with `langfuse.span()`.
IFPydantic AI traces show empty input/output values and span names like 'logfire.msg_template' instead of meaningful names.
THENUpgrade to Langfuse >=2.57.3. Avoid manually creating or passing a parent trace/span when using the `observeOpenAI` wrapper to allow automatic population of input/output data. After generation, explicitly set the output using `langfuse.trace()`. Customize span names by providing a `name` parameter when creating a span via `langfuse.span()`.
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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