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test-driven-development

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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 one minimal test showing what should happen.

Requirements:

  • One behavior
  • Clear name
  • Real code (no mocks unless unavoidable)

Verify RED - Watch It Fail

MANDATORY. Never skip.

npm test path/to/test.test.ts

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.

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

Verify GREEN - Watch It Pass

MANDATORY.

npm test path/to/test.test.ts

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.

Common Rationalizations

ExcuseReality
"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.

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"

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

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.

Debugging Integration

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

Never fix bugs without a test.

Final Rule

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

No exceptions without your human partner's permission.

Source

git clone https://github.com/parthalon025/autonomous-coding-toolkit/blob/main/skills/test-driven-development/SKILL.mdView on GitHub

Overview

Test-driven development (TDD) asks you to write the test before implementing code. Write a failing test, then write minimal production code to pass, and finally refactor. This approach validates that you’re testing the right behavior and prevents untested changes.

How This Skill Works

Follow RED-GREEN-REFACTOR: RED – write a failing test; verify it fails. GREEN – implement the minimal code to pass. REFACTOR – clean up while keeping tests green. The Iron Law mandatorily requires a failing test before any production code.

When to Use It

  • New features
  • Bug fixes
  • Refactoring
  • Behavior changes
  • Exceptions (ask your human partner): throwaway prototypes, generated code, configuration files

Quick Start

  1. Step 1: Write a failing test that captures the desired behavior.
  2. Step 2: Run tests to confirm failure, then implement the minimal code to pass.
  3. Step 3: Refactor for clarity and run the full test suite again.

Best Practices

  • Write one minimal test that captures a single behavior
  • Always run tests to confirm failure before implementing
  • Implement only the minimal code needed to pass the test
  • Verify green across the full test suite with no errors
  • Refactor after green while preserving behavior

Example Use Cases

  • Adding a new feature by first writing a failing test that defines the expected behavior, then implementing just enough code to pass.
  • Fixing a bug by reproducing it with a failing test, then implementing a targeted fix to make that test pass.
  • Refactoring a module and ensuring tests still pass to guard against regressions.
  • Changing error handling and updating tests to reflect new behavior without broad changes.
  • Migrating to a new library with TDD to isolate behavior and prevent regressions.

Frequently Asked Questions

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