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Test classes that were once simple now require extensive setup and complex assertions. Small changes in automation break multiple tests. Maintaining coverage feels increasingly expensive. I want to understand why this happens and how teams manage it.
As automation grows, tests must account for more side effects. Triggers, Flows, and validation rules introduce behavior that tests didn’t originally anticipate. This increases setup complexity and reduces test isolation.
Another issue is coupling. Tests often assume specific automation behavior, so changes ripple across unrelated tests. This makes refactoring risky and time-consuming.
Teams usually stabilize test suites by reducing automation side effects, using test-specific bypass mechanisms, and focusing tests on behavior rather than implementation details.
Takeaway: Test complexity mirrors system complexity—simplifying automation improves test stability.