Test Driven Development

Overview

TDD is the discipline of writing a failing test before writing implementation code. It forces you to think about the interface before the internals, produces tests that actually test behavior (not just coverage), and gives you a safety net for every refactor.

AI agents skip tests constantly. This skill makes tests non-optional.

When to Use

• Starting any new feature or function
• Fixing any bug (write a test that reproduces the bug first)
• Refactoring existing code (ensure test coverage before you start)

Process

Step 1: Write a Failing Test (Red)

1. Write a test for the behavior you want — before writing implementation.
2. The test should describe what the code does, not how:

• ✅ test("returns 404 when user not found")
• ❌ test("calls findById with the user id")

1. Run the test. Confirm it fails for the right reason (not a syntax error — a missing implementation).

Verify: Test runs and fails with a clear "not implemented" or "undefined" error.

Step 2: Write Minimum Code (Green)

1. Write the minimum implementation to make the test pass.
2. Do not write more than the test requires — resist the urge to add logic for future cases.
3. Run the test. Confirm it passes.

Verify: All tests pass. No new tests added yet.

Step 3: Refactor (Refactor)

1. Now clean up the implementation — no new behavior, only improved structure.
2. Run tests after every refactoring step — do not batch refactors.
3. If tests break during refactor: revert immediately, refactor more carefully.

Verify: Tests still pass after refactor. Code is cleaner.

Step 4: Repeat for Each Behavior

1. Repeat steps 1–3 for each distinct behavior of the feature.
2. Test pyramid: many unit tests, fewer integration tests, minimal end-to-end tests.

Step 5: Coverage Sanity Check

1. Run coverage report. Flag any critical paths with 0% coverage.
2. Do NOT chase a coverage number — write tests for behaviors that matter.

Verify: All happy paths and key edge cases have tests. Coverage report reviewed.

Common Rationalizations (and Rebuttals)

| Excuse | Rebuttal | |--------|----------| | "I'll add tests after" | After never comes. And after-the-fact tests test your implementation, not the behavior. | | "This code is too simple to test" | Simple code breaks in unexpected ways when requirements change. | | "Integration tests are enough" | Unit tests catch bugs faster, run faster, and localize failures better. | | "We don't have time for TDD" | You have time for the bug investigation that comes without TDD? |

Red Flags

• Tests were written after the implementation
• Tests test internal implementation details (private methods, DB queries) rather than behavior
• "Happy path only" test coverage
• Tests pass even when you break the implementation (mocked away the real behavior)
• Coverage target hit by testing trivial getters/setters

Verification

• [ ] Tests written before implementation (or alongside for bug fixes)
• [ ] Each test describes a specific behavior
• [ ] Red-green-refactor cycle followed
• [ ] All tests pass
• [ ] Key edge cases covered (empty input, null, boundary values)
• [ ] Coverage report reviewed for critical path gaps

References

• [debugging-methodology skill](../debugging-methodology/SKILL.md)
• [references/testing-patterns.md](../../references/testing-patterns.md)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: DevelopersGlobal
• Source: DevelopersGlobal/ai-agent-skills
• License: MIT
• Homepage: https://developersglobal.github.io/ai-agent-skills/

Install and usage instructions live in the source repository linked above.