Coding & Debugging
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Data
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After completing the data generation
verify:
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General
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- Temporal ordering is correct (created_at before updated_at
order before delivery)
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General
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- **Finance**: Transactions
account balances
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General
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- **Healthcare**: Patient records (HIPAA-safe synthetic)
appointments
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General
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- **E-commerce**: Products with SKUs
prices
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Data
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- Include pagination metadata (total count
page size
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General
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- Generate both success responses (200
201) and error responses (400
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Data
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- Include appropriate data volumes for development (small)
staging (medium)
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General
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- Maintain internal consistency (shipping address matches billing country
order dates before delivery dates)
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Coding & Debugging
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- Include appropriate HTTP status codes
headers
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Data
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- Implement seeded random generation for deterministic
reproducible datasets
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Data
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- Generate diverse data with varied lengths
formats
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General
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- Include edge cases systematically (boundary values
nulls
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Data
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- Create custom generators for domain-specific data (SKUs
account numbers
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General
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- **Entity modeling**: Define each entity with all fields
types
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Data
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- Use Faker.js methods for standard data types (names
emails
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General
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- Understand the intended use case (unit tests
integration tests
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Data
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- Confirm the preferred output format (JSON
SQL
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Data
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- Document required fields
data types
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Coding & Debugging
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- **Build API mock responses** following RESTful conventions with success/error responses
pagination
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Data
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- **Create database seed scripts** with proper insert ordering
foreign key respect
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General
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- Map relationships between entities (one-to-one
one-to-many
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General
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- **Maintain referential integrity** by ensuring foreign keys match
dates are logically consistent
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