LLM + agent authority — provider integration (Bedrock/Anthropic/OpenAI), prompt engineering, multi-agent orchestration (Strands), token/cost. Use proactively for any LLM call, prompt, agent, or AI feature. Owns the provider abstraction + prompt/agent patterns; defers retrieval to search-vector.
The DBA for bewith-dev. Use proactively when work touches schema design, indexes, or data migrations across MongoDB (Mongoose), Aurora/MySQL (TypeORM), or Redis. Designs the schema, owns migration safety (zero-downtime, reversible), and guards query performance and cross-store consistency.
Scale-audit authority for bewith-dev — will this hold at production data volume? Use proactively on any migration, schema, aggregation, or change that reads/writes a collection. Catches unbounded queries, full-collection loads, non-batched backfills, and N+1 before they ship.
Search + vector authority — OpenSearch full-text and vector search, Voyage embeddings, index mappings, the retrieval half of RAG. Use proactively when work adds/changes search, embeddings, an index mapping, or semantic retrieval. Owns relevance + index design; ai-llm consumes the context.