py-pydantic-patterns
Pydantic v2 patterns for validation and serialization. Use when creating schemas, validating data, or working with request/response models.
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Pydantic v2 patterns for validation and serialization. Use when creating schemas, validating data, or working with request/response models.
Async/await patterns for FastAPI and SQLAlchemy. Use when working with async code, database sessions, concurrent operations, or debugging async issues in Python.
PostgreSQL patterns for reviewing migrations and writing efficient queries. Use when reviewing Alembic migrations, optimizing queries, or debugging database issues.
Observability patterns for Python backends. Use when adding logging, metrics, tracing, or debugging production issues.
Async testing patterns with pytest-asyncio. Use when writing tests, mocking async code, testing database operations, or debugging test failures.
Alembic migration patterns for PostgreSQL. Use when creating migrations, reviewing autogenerated migrations, or handling schema changes safely.
SQLModel and async SQLAlchemy patterns. Use when working with database models, queries, relationships, or debugging ORM issues.
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