Skip to main content

tdd

Test-Driven Development workflow with RED-GREEN-REFACTOR, lore from Kent Beck, Michael Feathers, and Ousterhout's counterpoint

Quellinformationen

Repository
joelhooks/swarm-tools
Letzte Quellaktivität
28. Dezember 2025 um 04:57
Erkannte Sprache von SKILL.md
Englisch
Sterne
742
Forks
65

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
tdd
description
Test-Driven Development workflow with RED-GREEN-REFACTOR, lore from Kent Beck, Michael Feathers, and Ousterhout's counterpoint
tags
["testing","workflow","methodology","tdd"]
# Test-Driven Development (TDD) ## The Rhythm: RED-GREEN-REFACTOR ``` 1. RED - Write failing test first (define expected behavior) 2. GREEN - Minimal implementation to pass (don't over-engineer) 3. REFACTOR - Clean up, remove duplication, run tests again ``` ## Why TDD Works (The Lore) ### Kent Beck (Test-Driven Development by Example) > "The act of writing a unit test is more an act of design than verification." - Tests become executable documentation of intent - "Fake it til you make it" - start with hardcoded values, generalize - Small steps reduce debugging time - Confidence to refactor comes from test coverage ### Michael Feathers (Working Effectively with Legacy Code) > "The most powerful feature-addition technique I know of is test-driven development." - TDD works in both OO and procedural code - Writing tests first forces you to think about interfaces - Tests are the safety net that enables aggressive refactoring - Legacy code = code without tests ### Martin Fowler (Refactoring) > "Kent Beck baked this habit of writing the test first into a technique called Test-Driven Development." - TDD relies on short cycles - Tests enable refactoring - Refactoring becomes safe - tests catch regressions instantly ## The Counterpoint: Know When to Break the Rule ### John Ousterhout (A Philosophy of Software Design) > "The problem with test-driven development is that it focuses attention on getting specific features working, rather than finding the best design." **When TDD can hurt:** - Can lead to tactical programming (feature-focused, not design-focused) - May produce code that's easy to test but hard to understand - Risk of over-testing implementation details **The balance:** - For exploratory/architectural work, design first, then add tests - Don't let tests drive you into a corner - Step back periodically to evaluate overall design ## When to Use TDD ✅ **Use TDD for:** - New features with clear requirements - Bug fixes (write test that reproduces bug first) - Refactoring existing code (add characterization tests first) - API design (tests reveal ergonomics) - Any code that will be maintained long-term ❌ **Skip TDD for:** - Exploratory spikes (but add tests after if keeping the code) - Emergency hotfixes (but add tests immediately after) - Pure UI/styling changes - One-off scripts - Throwaway prototypes ## The TDD Workflow ```bash # 1. Write test, watch it fail bun test src/thing.test.ts # RED - test fails # 2. Implement minimal code to pass bun test src/thing.test.ts # GREEN - test passes # 3. Refactor, tests still pass bun test src/thing.test.ts # GREEN - still passing # 4. Repeat for next behavior ``` ## TDD Patterns ### Start with the Assertion Write the assertion first, then work backwards: ```typescript // Start here expect(result).toBe(42); // Then figure out what 'result' is const result = calculate(input); // Then figure out what 'input' is const input = { value: 21 }; ``` ### Triangulation Use multiple examples to drive generalization: ```typescript it("doubles 2", () => expect(double(2)).toBe(4)); it("doubles 3", () => expect(double(3)).toBe(6)); // Now you MUST implement the general solution ``` ### Obvious Implementation When the solution is obvious, just write it: ```typescript function add(a: number, b: number): number { return a + b; // Don't fake this } ``` ### Fake It Til You Make It When unsure, start with hardcoded values: ```typescript // First pass function fibonacci(n: number): number { return 1; // Passes for n=1 } // Add test for n=2, then generalize ``` ## Testing Pyramid ``` /\ / \ E2E (few) /----\ / \ Integration (some) /--------\ / \ Unit (many) -------------- ``` - **Unit tests**: Fast, isolated, test one thing - **Integration tests**: Test component interactions - **E2E tests**: Test full user flows (expensive, use sparingly) ## Common TDD Mistakes 1. **Writing too many tests at once** - One failing test at a time 2. **Testing implementation, not behavior** - Test what, not how 3. **Skipping the refactor step** - Technical debt accumulates 4. **Over-mocking** - Don't mock what you don't own 5. **Testing private methods** - Test through public interface ## Integration with Beads When working on a bead: 1. Start bead: `beads_start(id="bd-123")` 2. Write failing test for the requirement 3. Implement to pass 4. Refactor 5. Close bead: `beads_close(id="bd-123", reason="Done: tests passing")`
Auf GitHub ansehen