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.
IFDocker build fails because Chainguard's python:latest-dev image updated to Python 3.14, causing conflicts with Python 3.13 dependencies.
THENReplace the Chainguard base image with a compatible one. Either use Debian-based python:3.13-slim and install build dependencies via apt-get, or use cgr.dev/chainguard/wolfi-base and install via apk. Ensure the Dockerfile uses a pinned Python version to avoid future breaking changes.
IFLiteLLM Docker build fails due to Chainguard python:latest-dev image updated to Python 3.14 causing version conflicts with existing dependencies.
THENReplace the Chainguard python:latest-dev base image with `cgr.dev/chainguard/wolfi-base` and adjust build dependencies to use apk packages suitable for wolfi (e.g., bash, gcc, py3-pip, python3, python3-dev, openssl, openssl-dev).
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