Optimize ORM database access code while preserving returned data. Use when the user provides ORM code and asks to make it faster, reduce N+1 queries, reduce over-fetching, improve generated SQL, optimize relation loading, improve pagination, or decide whether raw SQL is needed.
Optimize a raw SQL query for performance while preserving returned data. Use when the user provides SQL and asks to make it faster, rewrite it safely, improve execution time, reduce scans, improve joins, improve pagination, or optimize database access.
Review ORM database access code for performance, correctness, generated SQL risks, N+1 queries, over-fetching, missing projections, pagination problems, transaction issues, and index implications. Use when the user provides ORM code and asks to review, optimize, debug, or check database performance.
Review a raw SQL query for performance, correctness, index usage, joins, filtering, sorting, pagination, and production risks. Use when the user provides SQL and asks to review, inspect, optimize, debug, or check why it may be slow.
Review SQL schema design for performance, correctness, constraints, relationships, data types, indexes, migration risks, and query-pattern fit. Use when the user provides table definitions, migrations, ORM models/entities, or database structure and asks to review or improve the schema.
Generate a safe verification workflow to compare old and optimized SQL or ORM query performance while proving the returned data is unchanged. Use when the user provides an old query and new query, an ORM before/after version, an index/schema optimization, or asks to benchmark and validate a database performance change.
★not rated 2 3mo agoA63 tokens
originalMIT
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