| name | tdd-feature |
| description | Red-green-refactor scaffold for building new features with TDD. Write failing tests first, then implement to pass. Use when building new features test-first. |
| allowed-tools | ["Read","Write","Edit","Glob","Grep","Bash","AskUserQuestion"] |
TDD Feature
Build new features using the red-green-refactor cycle. Tests define the spec, AI generates the implementation, tests verify correctness.
When This Skill Activates
Use this skill when the user:
- Wants to "TDD a new feature" or "build test-first"
- Says "I want tests before code"
- Asks for "red-green-refactor" workflow
- Wants AI to generate code that's provably correct
- Is building a new module, service, or feature from scratch
Canon TDD (Kent Beck)
Source: Kent Beck - Canon TDD
1. Write a list of the test scenarios you want to cover
2. Turn exactly one item on the list into an actual, concrete, runnable test
3. Change the code to make the test (& all previous tests) pass
4. Optionally refactor to improve the implementation design
5. Until the list is empty, go back to #2
The test is your acceptance criteria in code form. AI excels at going from failing test to passing implementation — it's a concrete, unambiguous target.
Process
Phase 1: Define the Feature
Before writing any code or tests, understand:
- What does this feature do? (user story or requirement)
- What are the inputs? (parameters, user actions, data)
- What are the outputs? (return values, state changes, UI updates)
- What are the edge cases? (empty, nil, error, boundary)
- What dependencies does it need? (network, storage, other services)
Phase 2: Design the API Surface
Sketch the public interface before writing tests:
protocol FavoriteManaging {
func add(_ item: Item) async throws
func remove(_ item: Item) async throws
func isFavorite(_ item: Item) -> Bool
var favorites: [Item] { get }
var count: Int { get }
}
This doesn't need to compile yet — it's the contract you'll test against.
Phase 3: RED — Write Failing Tests
Write tests for each behavior. Start with the simplest case and build up.
Order of Tests (Simple → Complex)
- Construction — can you create the object?
- Happy path — does the basic operation work?
- State verification — does state update correctly?
- Edge cases — empty, nil, boundaries
- Error handling — what fails and how?
- Integration — does it work with dependencies?
Template: Feature Test Suite
import Testing
@testable import YourApp
@Suite("FavoriteManager")
struct FavoriteManagerTests {
@Test("starts with empty favorites")
func startsEmpty() {
let manager = FavoriteManager()
#expect(manager.favorites.isEmpty)
#expect(manager.count == 0)
}
@Test("can add a favorite")
func addFavorite() async throws {
let manager = FavoriteManager()
let item = Item(id: "1", title: "Test")
try await manager.add(item)
#expect(manager.count == 1)
#expect(manager.isFavorite(item))
}
@Test("can remove a favorite")
func removeFavorite() async throws {
let manager = FavoriteManager()
let item = Item(id: "1", title: "Test")
try await manager.add(item)
try await manager.remove(item)
#expect(manager.count == 0)
#expect(!manager.isFavorite(item))
}
@Test("adding duplicate does not increase count")
func addDuplicate() async throws {
let manager = FavoriteManager()
let item = Item(id: "1", title: "Test")
try await manager.add(item)
try await manager.add(item)
#expect(manager.count == 1)
}
@Test("removing non-existent item does nothing")
func removeNonExistent() async throws {
let manager = FavoriteManager()
let item = Item(id: "1", title: "Test")
try await manager.remove(item)
#expect(manager.count == 0)
}
@Test("throws when storage is full")
func storageFullError() async {
let manager = FavoriteManager(maxCapacity: 2)
let items = (1...3).map { Item(id: "\($0)", title: "Item \($0)") }
await #expect(throws: FavoriteError.capacityExceeded) {
for item in items {
try await manager.add(item)
}
}
}
@Test("favorites are in insertion order")
func insertionOrder() async throws {
let manager = FavoriteManager()
let items = ["C", "A", "B"].map { Item(id: $0, title: $0) }
for item in items {
try await manager.add(item)
}
#expect(manager.favorites.map(\.title) == ["C", "A", "B"])
}
}
Run tests — they should ALL fail (the type doesn't even exist yet).
Phase 4: GREEN — Implement to Pass
Now implement the feature. Pass the tests as context to AI:
Prompt to Claude: "Here are my failing tests for FavoriteManager.
Implement the FavoriteManager class to make all tests pass.
Follow the protocol FavoriteManaging."
Implementation Rules
- One test at a time — make the first test pass, then the second, etc.
- Write the simplest code that passes each test
- Don't anticipate future tests — only satisfy current failing tests
- Run tests after each change
fastlane test
Phase 5: REFACTOR
With all tests green, clean up the implementation:
- Extract helper methods
- Improve naming
- Remove duplication
- Optimize performance (if tests cover perf requirements)
Run tests after every refactor step. If any test fails, you've changed behavior — revert.
Phase 6: Integration
Once the unit is solid, write integration tests:
@Suite("FavoriteManager Integration")
struct FavoriteManagerIntegrationTests {
@Test("persists favorites across sessions")
func persistence() async throws {
let store = InMemoryStore()
let manager1 = FavoriteManager(store: store)
try await manager1.add(Item(id: "1", title: "Test"))
let manager2 = FavoriteManager(store: store)
await manager2.loadFavorites()
#expect(manager2.count == 1)
}
}
TDD Rhythm
RED → Write one failing test (30 seconds - 2 minutes)
GREEN → Make it pass with simplest code (1 - 5 minutes)
REFACTOR → Clean up while tests stay green (1 - 3 minutes)
REPEAT → Next test
Cadence matters. If you're spending more than 5 minutes on GREEN, the test might be too big. Break it into smaller tests.
Test Categories by Feature Type
ViewModel Feature
@Suite("SearchViewModel")
struct SearchViewModelTests {
@Test("starts in idle state")
@Test("searching updates state to loading")
@Test("successful search shows results")
@Test("empty search shows empty state")
@Test("failed search shows error")
@Test("debounces rapid input")
@Test("cancels previous search on new input")
}
Data Layer Feature
@Suite("ItemRepository")
struct ItemRepositoryTests {
@Test("fetches items from remote")
@Test("caches fetched items locally")
@Test("returns cached items when offline")
@Test("syncs local changes to remote")
@Test("handles conflict resolution")
@Test("deletes expire cached items")
}
Business Logic Feature
@Suite("SubscriptionManager")
struct SubscriptionManagerTests {
@Test("free user has basic access")
@Test("pro user has full access")
@Test("expired subscription reverts to free")
@Test("family member inherits subscription")
@Test("trial period grants pro access")
@Test("grace period maintains access after lapse")
}
Output Format
## TDD Feature: [Feature Name]
### API Design
```swift
// Protocol / public interface
Tests Written (RED)
startsEmpty — Initial state
addFavorite — Happy path
removeFavorite — State change
addDuplicate — Edge case
removeNonExistent — Edge case
storageFullError — Error handling
Implementation (GREEN)
File: Sources/Features/FavoriteManager.swift
All [X] tests passing.
Refactoring Done
- Extracted storage logic to private method
- Renamed internal property for clarity
Next Steps
## Common Pitfalls
| Pitfall | Problem | Solution |
|---------|---------|----------|
| Writing too many tests before implementing | Overwhelming; can't see progress | Write 2-3 tests, implement, repeat |
| Tests that test implementation | Brittle; break on refactor | Test behavior and outcomes only |
| Skipping the refactor step | Accumulating technical debt | Refactor every 3-5 green cycles |
| AI implementing beyond the tests | Untested code in production | Only implement what tests require |
| Not running tests after each change | Silent regressions | `fastlane test` after every edit |
## iOS TDD Patterns
### xcconfig Template Pattern
Secrets (API keys) must never be hardcoded. Use xcconfig:
Config/Debug.template.xcconfig (committed)
REVENUECAT_API_KEY = YOUR_KEY_HERE
Config/Debug.local.xcconfig (gitignored, actual values)
REVENUECAT_API_KEY = appl_OnzEebYgDRvF...
Add to Info.plist: `RevenueCatAPIKey = $(REVENUECAT_API_KEY)`
Test: verify config reads from Info.plist, not hardcoded string.
### Protocol-Based Dependency Injection
Every service that talks to external systems must have a protocol:
```swift
protocol SubscriptionServiceProtocol {
func purchase(package: Package) async throws -> Bool
func restorePurchases() async throws
var isSubscribed: Bool { get }
}
// Production
class SubscriptionService: SubscriptionServiceProtocol { ... }
// Test
class MockSubscriptionService: SubscriptionServiceProtocol {
var purchaseResult: Bool = true
func purchase(package: Package) async throws -> Bool { purchaseResult }
...
}
Fastlane Build Commands
lane :test do
run_tests(scheme: APP_SCHEME, device: DEVICE)
end
lane :build do
build_app(scheme: APP_SCHEME, export_method: "app-store")
end
lane :build_for_simulator do
build_app(scheme: APP_SCHEME, configuration: "Debug",
destination: "generic/platform=iOS Simulator")
end
Always use fastlane test / fastlane build. Never xcodebuild directly.
Parameterized Tests (Swift Testing)
@Test("validates all pain areas", arguments: PainArea.allCases)
func validatePainArea(area: PainArea) {
#expect(!area.rawValue.isEmpty)
#expect(area.displayName.count > 0)
}
TDD Execution Order for iOS App
1. Models (pure data, no dependencies)
2. Services (protocol + implementation, mock dependencies)
3. ViewModels (depend on service protocols, inject mocks)
4. Integration (real services, in-memory storage)
Coverage Target
80%+ line coverage. Check with: fastlane test + Xcode coverage report.
References