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.
IFLiteLLM Docker build fails due to Chainguard python:latest-dev image updating to Python 3.14, causing incompatible Python version.
THENPin the Docker build and runtime base images to a specific Python version such as python:3.13-slim, or switch to wolfi-base images. Alternatively, update LiteLLM to a version that includes the fix from PR #17406.
IFChainguard python:latest-dev updated to Python 3.14 causing build failure in LiteLLM Docker build
THENSwitch base image to cgr.dev/chainguard/wolfi-base for both build and runtime. Adjust dependencies to use apk packages: bash, gcc, py3-pip, python3, python3-dev, openssl, openssl-dev. Install build and runtime dependencies accordingly.
IFBuild fails with mismatched types error in html-transformer module when using Docker for self-hosting Firecrawl.
THENIn the Rust FFI functions that return *mut i8, cast the result of CString::into_raw() (which returns *mut u8) to *mut i8 using `as *mut i8`. Alternatively, replace `into_raw()` with `as_ptr() as *mut i8` to align pointer types with the function signature. This resolves the compile-time type mismatch.
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