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.
IFmypy reports 'module is installed, but missing library stubs or py.typed marker' or 'Returning Any from function declared to return X' when analyzing code that uses llama_index or similar libraries.
THENFor missing py.typed markers, add a `# type: ignore[import-untyped]` comment on the import line. For functions incorrectly returning `Any`, use `cast` from `typing` to explicitly declare the expected return type, or add `# type: ignore` on the line. Alternatively, upgrade the library to a version that includes proper type stubs (e.g., llama_index >=0.10.24).
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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