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Give each part a clear responsibility
When a component has one understandable purpose, changes are easier to reason about. Presentation, validation, and persistence often benefit from explicit boundaries.
This does not require a complicated architecture. A small system with clear organization can be easier to maintain than a larger framework used without a clear need.
Treat data as a long-term decision
Names, constraints, and relationships shape how a product can evolve. Validate data at the boundary, use predictable formats, and document assumptions that future changes may challenge.
Make failures understandable
A product should fail safely when a dependency is unavailable. Avoid claiming that an action succeeded before the result is durable. Log enough operational information to diagnose problems without unnecessarily recording personal data.
Keep releases reviewable
Focused changes are easier to test and understand. Verify the behavior that matters, document deployment requirements, and keep a recovery path available.
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