tdd-london-chicago
Über
Diese Claude-Skill unterstützt Entwickler dabei, sowohl Londoner (mock-basierte) als auch Chicagoer (zustandsbasierte) TDD-Ansätze bei der praktischen Anwendung von testgetriebener Entwicklung zu nutzen. Sie leitet Sie an, den passenden Stil basierend auf Ihrem Kontext auszuwählen – Chicago für Domänenlogik und London für Code mit externen Abhängigkeiten. Die Skill folgt dem Rot-Grün-Refaktor-Zyklus und arbeitet mit spezialisierten Test-Agents zusammen, um Tests zu generieren, zu implementieren und zu refaktorieren.
Schnellinstallation
Claude Code
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Dokumentation
Test-Driven Development: London & Chicago Schools
<default_to_action> When implementing TDD or choosing testing style:
- IDENTIFY code type: domain logic → Chicago, external deps → London
- WRITE failing test first (Red phase)
- IMPLEMENT minimal code to pass (Green phase)
- REFACTOR while keeping tests green (Refactor phase)
- REPEAT cycle for next functionality
Quick Style Selection:
- Pure functions/calculations → Chicago (real objects, state verification)
- Controllers/services with deps → London (mocks, interaction verification)
- Value objects → Chicago (test final state)
- API integrations → London (mock external services)
- Mix both in practice (London for controllers, Chicago for domain)
Critical Success Factors:
- Tests drive design, not just verify it
- Make tests fail first to ensure they test something
- Write minimal code - no features beyond what's tested </default_to_action>
Quick Reference Card
When to Use
- Starting new feature with test-first approach
- Refactoring legacy code with test coverage
- Teaching TDD practices to team
- Choosing between mocking vs real objects
TDD Cycle
| Phase | Action | Discipline |
|---|---|---|
| Red | Write failing test | Verify it fails, check message is clear |
| Green | Minimal code to pass | No extra features, don't refactor |
| Refactor | Improve structure | Keep tests passing, no new functionality |
School Comparison
| Aspect | Chicago (Classicist) | London (Mockist) |
|---|---|---|
| Collaborators | Real objects | Mocks/stubs |
| Verification | State (assert outcomes) | Interaction (assert calls) |
| Isolation | Lower (integrated) | Higher (unit only) |
| Refactoring | Easier | Harder (mocks break) |
| Design feedback | Emerges from use | Explicit from start |
Agent Coordination
qe-test-generator: Generate tests in both schoolsqe-test-implementer: Implement minimal code (Green)qe-test-refactorer: Safe refactoring (Refactor)
Chicago School (State-Based)
Philosophy: Test observable behavior through public API. Keep tests close to consumer usage.
// State verification - test final outcome
describe('Order', () => {
it('calculates total with tax', () => {
const order = new Order();
order.addItem(new Product('Widget', 10.00), 2);
order.addItem(new Product('Gadget', 15.00), 1);
expect(order.totalWithTax(0.10)).toBe(38.50);
});
});
When Chicago Shines:
- Domain logic with clear state
- Algorithms and calculations
- Value objects (
Money,Email) - Simple collaborations
- Learning new domain
London School (Mock-Based)
Philosophy: Test each unit in isolation. Focus on how objects collaborate.
// Interaction verification - test method calls
describe('Order', () => {
it('delegates tax calculation', () => {
const taxCalculator = {
calculateTax: jest.fn().mockReturnValue(3.50)
};
const order = new Order(taxCalculator);
order.addItem({ price: 10 }, 2);
order.totalWithTax();
expect(taxCalculator.calculateTax).toHaveBeenCalledWith(20.00);
});
});
When London Shines:
- External integrations (DB, APIs)
- Command patterns with side effects
- Complex workflows
- Slow operations (network, I/O)
Mixed Approach (Recommended)
// London for controller (external deps)
describe('OrderController', () => {
it('creates order and sends confirmation', async () => {
const orderService = { create: jest.fn().mockResolvedValue({ id: 123 }) };
const emailService = { send: jest.fn() };
const controller = new OrderController(orderService, emailService);
await controller.placeOrder(orderData);
expect(orderService.create).toHaveBeenCalledWith(orderData);
expect(emailService.send).toHaveBeenCalled();
});
});
// Chicago for domain logic
describe('OrderService', () => {
it('applies discount when threshold met', () => {
const service = new OrderService();
const order = service.create({ items: [...], total: 150 });
expect(order.discount).toBe(15); // 10% off > $100
});
});
Common Pitfalls
❌ Over-Mocking (London)
// BAD - mocking everything
const product = { getName: jest.fn(), getPrice: jest.fn() };
Better: Only mock external dependencies.
❌ Mocking Internals
// BAD - testing private methods
expect(order._calculateSubtotal).toHaveBeenCalled();
Better: Test public behavior only.
❌ Test Pain = Design Pain
- Need many mocks? → Too many dependencies
- Hard to set up? → Constructor does too much
- Can't test without database? → Coupling issue
Agent-Assisted TDD
// Agent generates tests in both schools
await Task("Generate Tests", {
style: 'chicago', // or 'london'
target: 'src/domain/Order.ts',
focus: 'state-verification' // or 'collaboration-patterns'
}, "qe-test-generator");
// Agent-human ping-pong TDD
// Human writes test concept
const testIdea = "Order applies 10% discount when total > $100";
// Agent generates formal failing test (Red)
await Task("Create Failing Test", testIdea, "qe-test-generator");
// Human writes minimal code (Green)
// Agent suggests refactorings
await Task("Suggest Refactorings", { preserveTests: true }, "qe-test-refactorer");
Agent Coordination Hints
Memory Namespace
aqe/tdd/
├── test-plan/* - TDD session plans
├── red-phase/* - Failing tests generated
├── green-phase/* - Implementation code
└── refactor-phase/* - Refactoring suggestions
Fleet Coordination
const tddFleet = await FleetManager.coordinate({
workflow: 'red-green-refactor',
agents: {
testGenerator: 'qe-test-generator',
testExecutor: 'qe-test-executor',
qualityAnalyzer: 'qe-quality-analyzer'
},
mode: 'sequential'
});
Related Skills
- agentic-quality-engineering - TDD with agent coordination
- refactoring-patterns - Refactor phase techniques
- api-testing-patterns - London school for API testing
Remember
Chicago: Test state, use real objects, refactor freely London: Test interactions, mock dependencies, design interfaces first Both: Write the test first, make it pass, refactor
Neither is "right." Choose based on context. Mix as needed. Goal: well-designed, tested code.
With Agents: Agents excel at generating tests, validating green phase, and suggesting refactorings. Use agents to maintain TDD discipline while humans focus on design decisions.
Gotchas
- Agent skips Red phase and writes test + implementation together — enforce "test must fail first" by running test before writing code
- London school over-mocking creates brittle tests that break on any refactor — mock at architectural boundaries, not every function
- Chicago school tests become slow as integration scope grows — keep test boundaries tight
- Agent defaults to jest.mock() for everything — prefer dependency injection for testability
- Refactor phase is where agent cuts corners most — verify no behavior changes by checking test output is identical
GitHub Repository
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