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 a Python library pins exact dependency versions in pyproject.toml, it forces downgrades of common packages and creates dependency conflicts.
THENUse uv's override-dependencies in your pyproject.toml to override the exact pins with range-based constraints. For litellm versions >=1.83.1, add overrides for pydantic, openai, aiohttp, click, jsonschema, python-dotenv, and importlib-metadata using ranges that match the library's earlier compatible versions. Run `uv sync` to apply the overrides and resolve conflicts.
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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