test-driven-development

Overview

TDD is the discipline of writing a failing test before writing implementation code. It forces you to think about the interface before the internals, produces tests that actually test behavior (not just coverage), and gives you a safety net for every refactor.

AI agents skip tests constantly. This skill makes tests non-optional.

When to Use

• Starting any new feature or function
• Fixing any bug (write a test that reproduces the bug first)
• Refactoring existing code (ensure test coverage before you start)

Process

Step 1: Write a Failing Test (Red)

1. Write a test for the behavior you want — before writing implementation.
2. The test should describe what the code does, not how:
   • ✅ test("returns 404 when user not found")
   • ❌ test("calls findById with the user id")
3. Run the test. Confirm it fails for the right reason (not a syntax error — a missing implementation).

Verify: Test runs and fails with a clear "not implemented" or "undefined" error.

Step 2: Write Minimum Code (Green)

4. Write the minimum implementation to make the test pass.
5. Do not write more than the test requires — resist the urge to add logic for future cases.
6. Run the test. Confirm it passes.

Verify: All tests pass. No new tests added yet.

Step 3: Refactor (Refactor)

7. Now clean up the implementation — no new behavior, only improved structure.
8. Run tests after every refactoring step — do not batch refactors.
9. If tests break during refactor: revert immediately, refactor more carefully.

Verify: Tests still pass after refactor. Code is cleaner.

Step 4: Repeat for Each Behavior

10. Repeat steps 1–3 for each distinct behavior of the feature.
11. Test pyramid: many unit tests, fewer integration tests, minimal end-to-end tests.

Step 5: Coverage Sanity Check

12. Run coverage report. Flag any critical paths with 0% coverage.
13. Do NOT chase a coverage number — write tests for behaviors that matter.

Verify: All happy paths and key edge cases have tests. Coverage report reviewed.

Common Rationalizations (and Rebuttals)

Red Flags

• Tests were written after the implementation
• Tests test internal implementation details (private methods, DB queries) rather than behavior
• "Happy path only" test coverage
• Tests pass even when you break the implementation (mocked away the real behavior)
• Coverage target hit by testing trivial getters/setters

Verification

• Tests written before implementation (or alongside for bug fixes)
• Each test describes a specific behavior
• Red-green-refactor cycle followed
• All tests pass
• Key edge cases covered (empty input, null, boundary values)
• Coverage report reviewed for critical path gaps

References

• debugging-methodology skill
• references/testing-patterns.md