| name | red-green-refactor |
| description | TDD cycle mechanics, test-first patterns, and fixture strategies.
Activate when: practicing TDD, writing tests first, doing red-green-refactor,
learning test-driven development, choosing test types, writing unit tests.
|
Red-Green-Refactor: The TDD Cycle
The Core Cycle
RED → GREEN → REFACTOR → repeat
RED: Write a failing test that defines desired behavior
GREEN: Write the minimum code to make the test pass
REFACTOR: Improve the code without changing behavior (tests still pass)
RED Phase — Write a Failing Test
Goal: Define what the code should do before writing it.
Rules:
1. Write exactly ONE test at a time
2. The test must fail for the RIGHT reason (expected behavior missing, not syntax error)
3. The test must be specific and focused on one behavior
4. Name the test to describe the behavior: test_[action]_[condition]_[expectation]
Common mistakes:
✗ Writing multiple tests before any implementation
✗ Writing a test that already passes (not testing new behavior)
✗ Testing implementation details instead of behavior
✗ Vague test names like "test_it_works"
Example (Python):
def test_calculate_discount_applies_10_percent_for_orders_over_100():
order = Order(total=150.00)
discount = calculate_discount(order)
assert discount == 15.00
GREEN Phase — Make It Pass
Goal: Write the simplest code that makes the test pass. Nothing more.
Rules:
1. Write ONLY enough code to pass the failing test
2. It's OK to hardcode, use naive algorithms, or be "dumb"
3. Do NOT add edge case handling until you have a test for it
4. Do NOT refactor yet — just make it work
5. Run the test after every change to confirm it passes
Common mistakes:
✗ Writing a complete, polished implementation
✗ Handling edge cases without tests for them
✗ Refactoring while trying to go green
✗ Adding features that no test requires
Example:
def calculate_discount(order):
if order.total > 100:
return order.total * 0.10
return 0
REFACTOR Phase — Improve the Design
Goal: Clean up the code while keeping all tests green.
Rules:
1. All tests must pass BEFORE refactoring
2. All tests must pass AFTER refactoring
3. Run tests after every small change
4. Change structure, not behavior
5. Apply one refactoring at a time
What to refactor:
- Remove duplication (DRY within reason)
- Improve naming (variables, functions, classes)
- Extract methods or classes for clarity
- Simplify conditionals
- Reduce coupling
Common mistakes:
✗ Changing behavior during refactoring
✗ Making too many changes at once
✗ Skipping the refactor phase entirely
✗ Gold-plating (over-engineering)
Test-First Patterns
Start with the Simplest Case
Order of test cases:
1. Degenerate case (empty input, zero, null)
2. Simple positive case (single item, happy path)
3. Boundary cases (at the edge of rules)
4. Negative cases (invalid input, error conditions)
5. Complex cases (multiple items, combinations)
Example for a "fizzbuzz" function:
1. test_returns_number_as_string → "1"
2. test_returns_fizz_for_3 → "Fizz"
3. test_returns_buzz_for_5 → "Buzz"
4. test_returns_fizzbuzz_for_15 → "FizzBuzz"
5. test_returns_fizz_for_multiples_of_3 → 6, 9, 12
Transformation Priority Premise
When going from RED to GREEN, prefer simpler transformations:
Priority (simplest first):
1. {} → nil (no code → return nil/null)
2. nil → constant (return a constant value)
3. constant → variable (replace constant with a variable)
4. unconditional → conditional (add an if statement)
5. scalar → collection (single value → list/array)
6. statement → recursion (iterate → recurse)
7. value → mutated value (transform data)
Apply the highest-priority transformation that makes the test pass.
This prevents over-engineering during the GREEN phase.
When to Write Which Test Type
Unit tests (TDD primary loop):
- Individual functions and methods
- Business logic and calculations
- Data transformations
- State machines
- Write these FIRST, they drive the design
Integration tests:
- Database queries and transactions
- API endpoint request/response
- External service interactions
- Write these AFTER unit tests define the contracts
End-to-end tests:
- Critical user workflows
- Smoke tests for deployment
- Write few of these; they're slow and brittle
AAA Pattern (Arrange-Act-Assert)
Structure every test with three distinct sections:
Arrange: Set up the test context
- Create objects, set state, configure mocks
- Prepare input data
- Set expectations for dependencies
Act: Execute the behavior under test
- Call the function or method
- Trigger the event
- Should be ONE line (or very few)
Assert: Verify the result
- Check return values
- Verify state changes
- Confirm interactions with dependencies
Examples
def test_user_registration_sends_welcome_email():
email_service = MockEmailService()
user_service = UserService(email_service=email_service)
registration_data = {"email": "user@example.com", "name": "Ada"}
user = user_service.register(registration_data)
assert user.email == "user@example.com"
assert email_service.sent_count == 1
assert email_service.last_recipient == "user@example.com"
def test_order_summary_includes_all_fields():
order = Order(items=[Item("Widget", 9.99)], customer="Ada")
summary = order.get_summary()
assert summary["customer"] == "Ada"
assert summary["item_count"] == 1
assert summary["total"] == 9.99
Anti-Patterns
✗ Arrange-Assert (no act — testing setup, not behavior)
✗ Act-Assert (no arrange — implicit state is fragile)
✗ Arrange-Act-Act-Assert (testing two behaviors in one test)
✗ Arrange-Act-Assert-Act-Assert (test should be split)
✗ Assert-first (assertions before the action — confusing)
Fixture Strategies
Inline Setup
Define test data directly in the test. Best for simple tests where context matters.
def test_full_name_combines_first_and_last():
user = User(first_name="Ada", last_name="Lovelace")
assert user.full_name == "Ada Lovelace"
Factory Functions
Create reusable builders for common objects. Best when many tests need similar data.
def make_user(**overrides):
defaults = {
"first_name": "Ada",
"last_name": "Lovelace",
"email": "ada@example.com",
"role": "developer",
}
defaults.update(overrides)
return User(**defaults)
def test_admin_users_have_elevated_permissions():
admin = make_user(role="admin")
assert admin.can_delete_users is True
Shared Fixtures (pytest)
Use @pytest.fixture for setup that multiple tests share.
@pytest.fixture
def database():
db = create_test_database()
db.migrate()
yield db
db.drop()
@pytest.fixture
def user_repo(database):
return UserRepository(database)
def test_save_and_retrieve_user(user_repo):
user_repo.save(User(name="Ada"))
found = user_repo.find_by_name("Ada")
assert found is not None
Fixture Best Practices
DO:
- Keep fixtures minimal — only what the test needs
- Name fixtures after what they represent, not what they do
- Use factory functions for variation (make_user, make_order)
- Isolate tests — each test gets its own state
- Clean up after tests (use yield + teardown or context managers)
DON'T:
- Share mutable state between tests
- Create "god fixtures" that set up everything
- Nest fixtures more than 2 levels deep
- Use fixtures to test setup logic (test the fixture separately)
- Rely on test execution order
Test Isolation
Why Isolation Matters
Tests must be independent:
- Any test can run alone and pass
- Any test can run in any order and pass
- Tests can run in parallel without interfering
- A failing test means ONE thing is broken, not cascading failures
Isolation Techniques
1. Fresh state per test
- Reset database/state before or after each test
- Use transactions that roll back (database tests)
- Create new object instances (don't reuse)
2. Dependency injection
- Pass dependencies as parameters
- Replace real dependencies with test doubles
- Avoid global state and singletons in tests
3. Test doubles
- Stub: Returns canned responses (for queries)
- Mock: Verifies interactions (for commands)
- Fake: Simplified working implementation (in-memory DB)
- Spy: Records calls for later assertion
4. Environment isolation
- Use separate test configuration
- Isolate file system access (temp directories)
- Mock external HTTP calls (no network in unit tests)
- Use unique identifiers to prevent collisions
TDD Rhythm Tips
Keep the cycle fast:
- Entire RED-GREEN-REFACTOR cycle should take minutes, not hours
- If GREEN takes more than 10 minutes, the step is too big — go back to RED
- Run tests continuously (use a file watcher)
- Commit after every successful GREEN or REFACTOR
Signs you're doing it right:
- Tests run in seconds (< 5s for unit test suite)
- Each test is a few lines long
- Test names read like a specification
- You feel confident changing code because tests catch mistakes
- Code coverage emerges naturally (not chased)
Signs something is wrong:
- Tests are hard to write → design problem (code is too coupled)
- Tests are slow → too many integration tests, or poor isolation
- Tests break when refactoring → testing implementation, not behavior
- Many tests fail for one change → tests are too coupled to each other
