Python: Factories
When does factories need a refactor?
When the rule is no longer easy to explain, test, or change without surprising nearby code. Refactoring is…
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When does factories need a refactor?
When the rule is no longer easy to explain, test, or change without surprising nearby code. Refactoring is…
View Card →What production lens matters for factories?
Assume the simple demo is not enough. Real data volume, partner behavior, and partial failures will pressure the…
View Card →What review lens should you apply to factories code?
Ask whether the next engineer can see the rule, the data shape, and the likely failure mode quickly.…
View Card →What testing lens fits factories?
Test the boundary cases and invariants that would silently break if the rule were misunderstood. Good tests preserve…
View Card →What debugging lens helps most with factories?
Trace one real example, inspect the state changes, and compare them to the rule you intended to implement.…
View Card →Why does OrderOps care about factories?
Because the toolkit now carries orders, lines, customers, and inventory concepts that deserve clearer state and behavior than…
View Card →What is the best default for factories?
Choose the simplest shape that keeps the rule explicit, testable, and easy for the next engineer to read.…
View Card →How should you explain factories in an interview?
Use class methods when a named construction path explains the domain better than one raw initializer signature. Interviewers…
View Card →What is the main pitfall around factories?
Forcing all construction through one overloaded initializer can make object creation harder to read. Naming the pitfall early…
View Card →What is the core rule behind factories?
Use class methods when a named construction path explains the domain better than one raw initializer signature. This…
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