
When adding a mobile feature in an existing codebase, strong test design matters as much as the implementation. Interviewers want to see that you can add confidence quickly without over-testing low-value paths.
Explain how you would think about writing tests for a new mobile feature while pairing in an existing codebase.
Address these points:
Focus on a practical engineering approach rather than a specific test framework. The interviewer expects a structured explanation of risk-based coverage, test boundaries, maintainability, and how you would learn existing conventions before adding new tests.
Start by identifying the highest-risk behavior: user-visible flows, business rules, and failure paths. This helps you add confidence quickly instead of writing many low-value tests.
Most coverage should come from fast unit tests, with fewer integration tests and a small number of end-to-end tests. This balances speed, confidence, and maintenance cost.
External dependencies such as APIs, storage, clocks, and feature flags should be controlled in tests. Isolation makes tests deterministic and easier to debug.
api = FakeApi(response={"status": "ok"})
storage = InMemoryStore()
feature = build_feature(api=api, storage=storage)
In a mature codebase, consistency matters. Reusing established test helpers, naming, and fixture patterns reduces friction for reviewers and future maintainers.
Good tests validate observable outcomes rather than internal method calls whenever possible. This keeps tests stable when refactoring changes internals but not behavior.
result = reducer(state, action)
assert result.error_message == "Offline mode"