moai-workflow-tdd

name	moai-workflow-tdd
description	Test-Driven Development workflow specialist using RED-GREEN-REFACTOR cycle for test-first software development. Use when developing new features from scratch or when behavior specification drives implementation.
user-invocable	false
version	3.1.0

Test-Driven Development (TDD) Workflow

Development Mode Configuration (CRITICAL)

[NOTE] This workflow is selected based on .moai/config/sections/quality.yaml:

constitution:
  development_mode: tdd    # or ddd

When to use this workflow:

• development_mode: tdd → Use TDD (this workflow, default)
• development_mode: ddd → Use DDD instead (moai-workflow-ddd)

Key distinction:

• TDD (default): Test-first development for all work, including brownfield projects with pre-RED analysis
• DDD: Characterization-test-first for existing codebases with minimal test coverage

Quick Reference

Test-Driven Development provides a disciplined approach for creating new functionality where tests define the expected behavior before implementation.

Core Cycle - RED-GREEN-REFACTOR:

• RED: Write a failing test that defines desired behavior
• GREEN: Write minimal code to make the test pass
• REFACTOR: Improve code structure while keeping tests green

When to Use TDD:

• Creating new functionality from scratch
• Building isolated modules with no existing dependencies
• When behavior specification drives development
• New API endpoints with clear contracts
• New UI components with defined behavior
• Greenfield projects (rare - usually Hybrid is better)

When NOT to Use TDD:

• Refactoring existing code (use DDD instead)
• When behavior preservation is the primary goal
• Legacy codebase without test coverage (use DDD first)
• When modifying existing files (consider Hybrid mode)

---

Core Philosophy

TDD vs DDD Comparison

TDD Approach:

• Cycle: RED-GREEN-REFACTOR
• Goal: Create new functionality through tests
• Starting Point: No code exists
• Test Type: Specification tests that define expected behavior
• Outcome: New working code with test coverage

DDD Approach:

• Cycle: ANALYZE-PRESERVE-IMPROVE
• Goal: Improve structure without behavior change
• Starting Point: Existing code with defined behavior
• Test Type: Characterization tests that capture current behavior
• Outcome: Better structured code with identical behavior

Test-First Principle

The golden rule of TDD is that tests must be written before implementation code:

• Tests define the contract
• Tests document expected behavior
• Tests catch regressions immediately
• Implementation is driven by test requirements

---

Implementation Guide

Phase 1: RED - Write a Failing Test

The RED phase focuses on defining the desired behavior through a failing test.

Writing Effective Tests

Before writing any implementation code:

• Understand the requirement clearly
• Define the expected behavior in test form
• Write one test at a time
• Keep tests focused and specific
• Use descriptive test names that document behavior

Test Structure

Follow the Arrange-Act-Assert pattern:

• Arrange: Set up test data and dependencies
• Act: Execute the code under test
• Assert: Verify the expected outcome

Verification

The test must fail initially:

• Confirms the test actually tests something
• Ensures the test is not passing by accident
• Documents the gap between current and desired state

Phase 2: GREEN - Make the Test Pass

The GREEN phase focuses on writing minimal code to satisfy the test.

Minimal Implementation

Write only enough code to make the test pass:

• Do not over-engineer
• Do not add features not required by tests
• Focus on correctness, not perfection
• Hardcode values if necessary (refactor later)

Verification

Run the test to confirm it passes:

• All assertions must succeed
• No other tests should break
• Implementation satisfies the test requirements

Phase 3: REFACTOR - Improve the Code

The REFACTOR phase focuses on improving code quality while maintaining behavior.

Safe Refactoring

With passing tests as a safety net:

• Remove duplication
• Improve naming and readability
• Extract methods and classes
• Apply design patterns where appropriate

Continuous Verification

After each refactoring step:

• Run all tests
• If any test fails, revert immediately
• Commit when tests pass

---

TDD Workflow Execution

Standard TDD Session

When executing TDD through manager-develop:

Step 1 - Understand Requirements:

• Read SPEC document for feature scope
• Identify test cases from acceptance criteria
• Plan test implementation order

Step 2 - RED Phase:

• Write first failing test
• Verify test fails for the right reason
• Document expected behavior

Step 3 - GREEN Phase:

• Write minimal implementation
• Run test to verify it passes
• Move to next test

Step 4 - REFACTOR Phase:

• Review code for improvements
• Apply refactoring with tests as safety net
• Commit clean code

Step 5 - Repeat:

• Continue RED-GREEN-REFACTOR cycle
• Until all requirements are implemented
• Until all acceptance criteria pass

TDD Loop Pattern

For features requiring multiple test cases:

• Identify all test cases upfront
• Prioritize by dependency and complexity
• Execute RED-GREEN-REFACTOR for each
• Maintain cumulative test suite

---

Quality Metrics

TDD Success Criteria

Test Coverage (Required):

• Minimum 80% coverage per commit
• 90% recommended for new code
• All public interfaces tested

Code Quality (Goals):

• All tests pass
• No test written after implementation
• Clear test names documenting behavior
• Minimal implementation satisfying tests

TDD-Specific TRUST Validation

Apply TRUST 5 framework with TDD focus:

• Testability: Test-first approach ensures testability
• Readability: Tests document expected behavior
• Understandability: Tests serve as living documentation
• Security: Security tests written before implementation
• Transparency: Test failures provide immediate feedback

---

Integration Points

With DDD Workflow

TDD and DDD are complementary:

• TDD for new code
• DDD for existing code refactoring
• Hybrid mode combines both approaches

With Testing Workflow

TDD integrates with testing workflow:

• Uses specification tests
• Integrates with coverage tools
• Supports mutation testing for test quality

With Quality Framework

TDD outputs feed into quality assessment:

• Coverage metrics tracked
• TRUST 5 validation for changes
• Quality gates enforce standards

---

Troubleshooting

Common Issues

Test is Too Complex:

• Break into smaller, focused tests
• Test one behavior at a time
• Use test fixtures for complex setup

Implementation Grows Too Fast:

• Resist urge to implement untested features
• Return to RED phase for new functionality
• Keep GREEN phase minimal

Refactoring Breaks Tests:

• Revert immediately
• Refactor in smaller steps
• Ensure tests verify behavior, not implementation

Recovery Procedures

When TDD discipline breaks down:

• Stop and assess current state
• Write characterization tests for existing code
• Resume TDD for remaining features
• Consider switching to Hybrid mode

---

Version: 1.0.0 Status: Active Last Updated: 2026-02-03

Common Rationalizations

Rationalization	Reality
"I'll add tests after the implementation works"	Post-hoc tests verify what the code does, not what it should do. They miss the bugs RED phase catches.
"The existing tests cover this case"	Existing tests verify old behavior. New behavior needs its own failing test first.
"This function is too simple to test"	Simple functions accumulate complexity. The test documents expected behavior before drift.
"I tested it manually in the terminal"	Manual checks do not persist. Tomorrow's change breaks the contract with no signal.
"The test requires complex mocking"	If the test is hard to write, the code is hard to reason about. Refactor the design first.
"Tests slow me down"	Test-first surfaces design problems early, when they are cheapest to fix.
"I'll skip REFACTOR this cycle to keep moving"	Skipped refactors compound. The next cycle starts from a worse baseline.

DAMP over DRY: In test code, prefer Descriptive And Meaningful Phrases over Don't Repeat Yourself. Duplication inside a test that makes the intent obvious is better than an abstraction that hides it.

Beyonce Rule: If you liked it, you should have put a test on it. Any behavior CI does not verify will eventually break without warning.

Red Flags

• Implementation file created in the same commit as its test file (RED phase skipped)
• Test names describe implementation (test_function_returns_true) instead of behavior (test_user_login_rejects_expired_token)
• All tests in a new file pass on first run — no RED phase was captured
• Commit message says "add tests" after the feature is already merged
• Test suite contains mocks of the code under test (mocking implementation, not collaborators)
• Coverage dropped in the commit that added a new feature

Verification

• Git history shows a failing-test commit before the implementation commit, or evidence of RED in the same commit
• Test names read as behavior specifications, not function descriptions
• Every new public function has at least one corresponding test case
• Full test suite passes (paste command output)
• Coverage for changed files is measured and reported (show tool output)
• No skip, xit, or disabled tests were added in this change
• REFACTOR phase was executed or explicitly justified as unnecessary