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

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Updated 2/4/2026

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SKILL.md

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

# 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:

// 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:

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:

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:

// 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")

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AI Quality Score

95/100Analyzed 2/12/2026

A comprehensive and well-structured guide to Test-Driven Development. It effectively combines theoretical philosophy (Kent Beck, etc.) with practical workflows, code patterns, and specific instructions for integrating with the repository's 'Beads' system.

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Updated2/4/2026
Publisherprimeinc

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