Write Tests (When Appropriate) in AI

TESTING STRATEGY:

When to write tests:
✅ Business logic functions
✅ API endpoints or server actions
✅ Database queries and transformations
✅ Authentication/authorization logic
✅ Complex algorithms or calculations
✅ Utility functions used across codebase

When to skip tests:
⏭️ Simple configuration files
⏭️ Basic UI components (mostly markup)
⏭️ One-off scripts or migrations
⏭️ Prototype/spike code you'll throw away

TEST TYPES:

Unit Tests - Individual functions in isolation
- Good for: utility functions, business logic
- Fast, focused, easy to maintain

Integration Tests - How parts work together
- Good for: API routes, server actions, database operations
- Most valuable for typical web apps

End-to-End Tests - Complete user flows
- Good for: critical user journeys only
- Slow but catch real-world issues

TESTING PRINCIPLES:
- Test behavior, not implementation
- Focus on integration tests for most features
- Write unit tests for complex business logic
- Write E2E tests for critical flows only
- Don't chase code coverage metrics