test-driven-development

name	test-driven-development
description	Strict RED-GREEN-REFACTOR enforcement with no exceptions. Use when implementing features or fixing bugs. No production code without a failing test first.
allowed-tools	Read, Write, Edit, Glob, Grep, Bash

Test-Driven Development (TDD)

Overview

Write the test first. Watch it fail. Write minimal code to pass.

Core principle: If you didn't watch the test fail, you don't know if it tests the right thing.

Violating the letter of the rules is violating the spirit of the rules.

When to Use

Always:

• New features
• Bug fixes
• Refactoring
• Behavior changes

Exceptions (ask your human partner):

• Throwaway prototypes
• Generated code
• Configuration files

Thinking "skip TDD just this once"? Stop. That's rationalization.

The Iron Law

NO PRODUCTION CODE WITHOUT A FAILING TEST FIRST

Write code before the test? Delete it. Start over.

No exceptions:

• Don't keep it as "reference"
• Don't "adapt" it while writing tests
• Don't look at it
• Delete means delete

Implement fresh from tests. Period.

Red-Green-Refactor

┌─────────────┐
│     RED     │  Write failing test
│ Write test  │  describing desired behavior
└──────┬──────┘
       │
       ▼
┌─────────────┐
│ Verify RED  │  Run test - MUST fail
│ Watch fail  │  for expected reason
└──────┬──────┘
       │
       ▼
┌─────────────┐
│    GREEN    │  Write minimal code
│ Make it pass│  to make test pass
└──────┬──────┘
       │
       ▼
┌─────────────┐
│Verify GREEN │  Run test - MUST pass
│ Watch pass  │  all tests stay green
└──────┬──────┘
       │
       ▼
┌─────────────┐
│  REFACTOR   │  Clean up code while
│  Clean up   │  keeping tests green
└──────┬──────┘
       │
       ▼  Repeat for next behavior

RED - Write Failing Test

Write one minimal test showing what should happen.

``` test "retries failed operations 3 times": attempts = 0 def operation(): attempts += 1 if attempts < 3: raise Error("fail") return "success"

result = retry_operation(operation)

assert result == "success"
assert attempts == 3

Clear name, tests real behavior, one thing
</Good>

<Bad>

test "retry works": mock = create_mock() .fails_twice() .then_returns("success") retry_operation(mock) assert mock.call_count == 3

Vague name, tests mock not code
</Bad>

**Requirements:**
- One behavior
- Clear name
- Real code (no mocks unless unavoidable)

### Verify RED - Watch It Fail

**MANDATORY. Never skip.**

Run the project's test command targeting the specific test file.

Confirm:
- Test fails (not errors)
- Failure message is expected
- Fails because feature missing (not typos)

**Test passes?** You're testing existing behavior. Fix test.

**Test errors?** Fix error, re-run until it fails correctly.

### GREEN - Minimal Code

Write simplest code to pass the test.

<Good>

def retry_operation(fn, max_retries=3): for i in range(max_retries): try: return fn() except Error: if i == max_retries - 1: raise raise Error("unreachable")

Just enough to pass
</Good>

<Bad>

def retry_operation(fn, options=None): # options: max_retries, backoff_strategy, on_retry_callback # Configurable backoff: linear, exponential # YAGNI - all of this

Over-engineered
</Bad>

Don't add features, refactor other code, or "improve" beyond the test.

### Verify GREEN - Watch It Pass

**MANDATORY.**

Run the project's test command.

Confirm:
- Test passes
- Other tests still pass
- Output pristine (no errors, warnings)

**Test fails?** Fix code, not test.

**Other tests fail?** Fix now.

### REFACTOR - Clean Up

After green only:
- Remove duplication
- Improve names
- Extract helpers

Keep tests green. Don't add behavior.

### Repeat

Next failing test for next feature.

## Good Tests

| Quality | Good | Bad |
|---------|------|-----|
| **Minimal** | One thing. "and" in name? Split it. | `test "validates email and domain and whitespace"` |
| **Clear** | Name describes behavior | `test "test1"` |
| **Shows intent** | Demonstrates desired API | Obscures what code should do |

## Why Order Matters

**"I'll write tests after to verify it works"**

Tests written after code pass immediately. Passing immediately proves nothing:
- Might test wrong thing
- Might test implementation, not behavior
- Might miss edge cases you forgot
- You never saw it catch the bug

Test-first forces you to see the test fail, proving it actually tests something.

**"I already manually tested all the edge cases"**

Manual testing is ad-hoc. You think you tested everything but:
- No record of what you tested
- Can't re-run when code changes
- Easy to forget cases under pressure
- "It worked when I tried it" ≠ comprehensive

Automated tests are systematic. They run the same way every time.

**"Deleting X hours of work is wasteful"**

Sunk cost fallacy. The time is already gone. Your choice now:
- Delete and rewrite with TDD (X more hours, high confidence)
- Keep it and add tests after (30 min, low confidence, likely bugs)

The "waste" is keeping code you can't trust. Working code without real tests is technical debt.

**"TDD is dogmatic, being pragmatic means adapting"**

TDD IS pragmatic:
- Finds bugs before commit (faster than debugging after)
- Prevents regressions (tests catch breaks immediately)
- Documents behavior (tests show how to use code)
- Enables refactoring (change freely, tests catch breaks)

"Pragmatic" shortcuts = debugging in production = slower.

**"Tests after achieve the same goals - it's spirit not ritual"**

No. Tests-after answer "What does this do?" Tests-first answer "What should this do?"

Tests-after are biased by your implementation. You test what you built, not what's required. You verify remembered edge cases, not discovered ones.

Tests-first force edge case discovery before implementing. Tests-after verify you remembered everything (you didn't).

30 minutes of tests after ≠ TDD. You get coverage, lose proof tests work.

## Common Rationalizations

| Excuse | Reality |
|--------|---------|
| "Too simple to test" | Simple code breaks. Test takes 30 seconds. |
| "I'll test after" | Tests passing immediately prove nothing. |
| "Tests after achieve same goals" | Tests-after = "what does this do?" Tests-first = "what should this do?" |
| "Already manually tested" | Ad-hoc ≠ systematic. No record, can't re-run. |
| "Deleting X hours is wasteful" | Sunk cost fallacy. Keeping unverified code is technical debt. |
| "Keep as reference, write tests first" | You'll adapt it. That's testing after. Delete means delete. |
| "Need to explore first" | Fine. Throw away exploration, start with TDD. |
| "Test hard = design unclear" | Listen to test. Hard to test = hard to use. |
| "TDD will slow me down" | TDD faster than debugging. Pragmatic = test-first. |
| "Manual test faster" | Manual doesn't prove edge cases. You'll re-test every change. |
| "Existing code has no tests" | You're improving it. Add tests for existing code. |

## Red Flags - STOP and Start Over

- Code before test
- Test after implementation
- Test passes immediately
- Can't explain why test failed
- Tests added "later"
- Rationalizing "just this once"
- "I already manually tested it"
- "Tests after achieve the same purpose"
- "It's about spirit not ritual"
- "Keep as reference" or "adapt existing code"
- "Already spent X hours, deleting is wasteful"
- "TDD is dogmatic, I'm being pragmatic"
- "This is different because..."

**All of these mean: Delete code. Start over with TDD.**

## Example: Bug Fix

**Bug:** Empty email accepted

**RED**

test "rejects empty email": result = submit_form(email="") assert result.error == "Email required"

**Verify RED**

$ FAIL: expected "Email required", got None

**GREEN**

def submit_form(data): if not data.email or not data.email.strip(): return Result(error="Email required") # ...

**Verify GREEN**

$ PASS

**REFACTOR**
Extract validation for multiple fields if needed.

## Verification Checklist

Before marking work complete:

- [ ] Every new function/method has a test
- [ ] Watched each test fail before implementing
- [ ] Each test failed for expected reason (feature missing, not typo)
- [ ] Wrote minimal code to pass each test
- [ ] All tests pass
- [ ] Output pristine (no errors, warnings)
- [ ] Tests use real code (mocks only if unavoidable)
- [ ] Edge cases and errors covered

Can't check all boxes? You skipped TDD. Start over.

## When Stuck

| Problem | Solution |
|---------|----------|
| Don't know how to test | Write wished-for API. Write assertion first. Ask your human partner. |
| Test too complicated | Design too complicated. Simplify interface. |
| Must mock everything | Code too coupled. Use dependency injection. |
| Test setup huge | Extract helpers. Still complex? Simplify design. |

## Debugging Integration

Bug found? Write failing test reproducing it. Follow TDD cycle. Test proves fix and prevents regression.

Never fix bugs without a test.

## Integration with Spec-Driven Workflow

This skill is core to Phase 5 (Execution) of spec-driven implementation:

**During Task Breakdown (Phase 4):**
- Each task is structured as RED → GREEN → REFACTOR
- Tasks include explicit test-first steps

**During Execution (Phase 5):**
- Follow TDD cycle for every task
- Mark RED, GREEN, REFACTOR sub-tasks as complete
- Commit after each phase:
  - `test: Add test for [functionality]`
  - `feat: Implement [functionality]`
  - `refactor: Optimize [component]`

**Quality Gates:**
- All tests must pass before proceeding
- No code without tests
- Code-quality skill reviews before commits

## Final Rule

Production code → test exists and failed first Otherwise → not TDD

No exceptions without your human partner's permission.