Every team agrees that tests matter; few agree on what to test, how deep, and where to stop. The result is either a brittle tower of end-to-end tests that breaks on every CSS change, or a mountain of unit tests that assert implementation details and never catch a real regression. A sane testing strategy trades volume for signal.

Understand the Shape: Pyramid vs Trophy

The classic pyramid overweights unit tests. The trophy model — many unit tests, fewer integration tests, and a handful of end-to-end tests that protect the crown jewels — matches reality better: most bugs live at the seams between components, which is exactly where integration tests sit. Choose a model, but keep the principle: the closer a test is to a real user's action, the fewer of them you can afford and the more precious each one is.

Unit Tests: Behaviour, Not Implementation

A unit test should pin a behaviour a user cares about, not the internal wiring of the code. Test through public interfaces, use realistic data, and assert on outcomes rather than on which private method was called. When a unit test forces you to mock three collaborators, the real problem is usually coupling, not coverage — let the awkward test tell you to reshape the design.

Integration Tests: Where the Seams Live

Most regressions live in the glue: the repository that maps to a table, the service that calls the queue, the validation that rejects a malformed payload. Integration tests exercise real framework behaviour — a test database, real HTTP requests against the app, the actual ORM — and catch what no mock can. This is where the majority of your testing budget should go: the seams between your pieces are where your bugs live.

End-to-End: Few, Fierce, Focused

End-to-end tests should protect money flows and the core user journey — checkout, login, onboarding — and little else. Keep them independent and deterministic: seed fixed data, avoid timing assumptions, use stable selectors instead of CSS positions. When they flake, treat flakiness as a defect in the test, not in the weather. A flaky E2E layer trains teams to ignore the only tests that protect their money.

Test Data: Factories Over Fixtures

Global fixtures couple every test to shared assumptions and rot silently as the schema evolves. Factories give each test exactly the data it needs, in the state it needs, making tests readable and parallelisable. The factory is also the place to encode business invariants — a customer without a billing address is an edge case every test should be able to create on purpose.

Testing in CI: Speed Is the Strategy

A test suite that takes forty minutes to run is a suite nobody runs at commit time. Run fast unit and integration tests on every push, keep the E2E layer on a merge gate or nightly schedule, and use test splitting to run suites in parallel. The cost of a broken main branch is paid by the whole team; the cost of a slower pipeline is paid once. Optimise for the former.

A Pragmatic Coverage Bar

  • Unit tests for business rules and domain logic.
  • Integration tests for every repository, service, and validation seam.
  • E2E for payments, authentication, and the core journey only.
  • Factories for all entities; fixtures only for truly static reference data.
  • CI runs the fast suite on every push; E2E gates the merge.

The goal is not 100% coverage — it is confidence with speed. Smart Logic's engineers build testing strategies into Laravel and JavaScript projects from day one, from the unit layer to a reliable E2E suite wired into CI. If your tests are slowing you down instead of protecting you, bring us your suite and we will reshape it around the journeys that actually pay your bills.