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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.
IFSupabaseVectorStore.from_documents returns APIError '22P02' with message 'invalid input syntax for type bigint' when inserting documents after upgrading LangChain, because the database table's id column expects bigint but the library now generates UUIDs.
THENRecreate the Supabase documents table with a uuid primary key instead of bigserial. Use the schema: id uuid primary key, content text, metadata jsonb, embedding vector(1536). Ensure the table matches the structure expected by LangChain's SupabaseVectorStore integration as documented. If data must be preserved, migrate existing records into the new table.
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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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