Why predictable, boring database design beats clever architecture in apps

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Developer Arun Singh shares lessons from building FinLedger, a personal finance app, on why keeping the database layer simple and predictable is a deliberate engineering choice. He argues that clear data models, strict separation of responsibilities between DAOs, repositories, and UI layers, and enforcing database-level constraints are essential for data integrity. Singh warns against overly generic repository abstractions that obscure what the app is actually doing, favoring specific, readable query methods instead. He also highlights the value of observable data patterns in Room with Kotlin, which lets the database drive UI updates rather than requiring manual polling. His core takeaway is that for data users genuinely rely on, the priority should be making corruption difficult and queries understandable, not architectural sophistication.

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