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.
IFWhen using SSEClientTransport in a CommonJS project, bundling fails due to top-level await in transitive dependency pkce-challenge.
THENSwitch the project to ESM output, or use a bundler plugin that allows top-level await in CJS (e.g., esbuild's --format=esm), or replace SSEClientTransport with an alternative that does not depend on pkce-challenge. Alternatively, use dynamic import to defer the module loading.
IFImportError with undefined symbol _ZN5torch3jit17parseSchemaOrNameERKSsb when importing vllm after compiling PyTorch from source with _GLIBCXX_USE_CXX11_ABI=1
THENEnsure that vllm is built with the same CXX11 ABI setting as PyTorch. Either rebuild vllm from source with matching flags, or manually build the _C.abi3.so extension using cmake and replace the installed file. Using pre-built wheel packages that match your PyTorch binary distribution avoids this issue.
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