Testing

Testing Skill

Overview

Tests written after code pass immediately—proving nothing. This skill guides test-first development and systematic test quality review.

Core principle: Write the test FIRST. Watch it fail. Then write code to pass. If you didn't see it fail, you don't know it tests the right thing.

The Test-First Process

Phase 1: Write Failing Test

Before writing ANY implementation code:

1. Write One Minimal Test

   • Tests ONE behavior
   • Clear name describing expected outcome
   • See references/test-pyramid.md for structure

2. Watch It Fail

   • Run the test
   • Confirm it fails for the expected reason (missing feature, not typo)
   • If test passes immediately → test is wrong, fix it

3. Verify Failure Message

   • Does the error explain what's wrong?
   • Would you understand this failure in 6 months?

Phase 2: Write Minimal Code

Only enough code to pass the test:

1. Implement Minimally

   • Don't add features not tested
   • Don't optimize
   • Don't refactor yet

2. Watch Test Pass

   • Run the test
   • Confirm it passes
   • If it fails → fix code, not test

3. Check Other Tests

   • All existing tests still pass?
   • If not → fix immediately before continuing

Phase 3: Refactor

Only after tests pass:

1. Clean Up Code

   • Remove duplication
   • Improve names
   • Extract helpers

2. Keep Tests Green

   • Run tests after every change
   • If tests fail → undo refactor, try again

3. Don't Add Behavior

   • Refactoring changes structure, not behavior
   • New behavior requires new test first

Repeat

Write next failing test. Repeat cycle.

Red Flags - STOP and Fix

You're Doing It Wrong If:

- Writing code before tests
- Test passes immediately (you're testing existing behavior)
- Adding "just one more feature" without a test
- Debugging why test fails instead of why code is wrong
- Tests require running the whole system
- Can't describe what test is testing in plain English

Test Quality Red Flags:

- No assertions (test always passes)
- Assertions on mock behavior instead of real code
- Test logic (if/else in tests)
- Tests depend on each other (order matters)
- Flaky tests (pass sometimes)
- Slow tests (>100ms for unit tests)

Coverage Red Flags:

- High coverage, but bugs still found
- Tests only cover happy path
- Tests don't cover error handling
- Tests don't cover edge cases (null, empty, max values)

Common Rationalizations - Don't Accept These

Test Quality Checklist

Before approving any code:

• Test First: Was the test written before the code?
• Failure Seen: Did developer watch test fail first?
• One Behavior: Does each test verify one thing?
• Clear Name: Does test name describe expected behavior?
• No Logic: Are tests simple (no if/else, loops)?
• Independent: Do tests pass in any order?
• Fast: Do unit tests run in <100ms each?
• Edge Cases: Are boundaries and errors covered?

Test Structure

The AAA Pattern

test('returns user when valid ID provided', async () => {
  // Arrange - set up test data
  const userId = 'user-123';
  await createTestUser({ id: userId, name: 'Test' });

  // Act - execute the code
  const result = await getUser(userId);

  // Assert - verify the outcome
  expect(result.name).toBe('Test');
});

Naming Convention

Pattern: [unit] [behavior] when [condition]

Examples:
- "returns empty array when no users exist"
- "throws NotFoundError when user not found"
- "sends welcome email when user signs up"

Test Pyramid

         /\
        /  \      E2E (10%) - Critical user journeys only
       /----\
      /      \    Integration (20%) - API, DB, services
     /--------\
    /          \  Unit (70%) - Business logic, pure functions
   /------------\

What to Test at Each Level

Quick Commands

# Run with coverage
npm test -- --coverage
pytest --cov=src
go test -cover ./...

# Run specific test
npm test -- -t "user"
pytest -k "user"
go test -run TestUser

# Watch mode
npm test -- --watch
pytest-watch

References

Detailed patterns and examples in references/:

• test-pyramid.md - Test strategy and coverage guidelines
• mocking-guide.md - When and how to mock
• flaky-tests.md - Diagnosing and fixing flaky tests

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