EV

evanflow-tdd

Implements features using test-driven vertical slices to ensure code is driven by behavior.

Install

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Installs to .claude/skills/evanflow-tdd

Activation

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Vertical-slice TDD for any production code. One test → one impl → repeat. Tests verify behavior through public interfaces, not internals. Use when implementing any feature, bugfix, or behavior change.
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Advanced

Key capabilities

  • Verify behavior through public interfaces, not implementation details.
  • Implement features using a vertical-slice Test-Driven Development (TDD) approach.
  • Follow the RED-GREEN-REFACTOR cycle for each test.
  • Perform per-cycle refactoring to clean code and tests.
  • Default to integration-style tests against real services where feasible.

How it works

This skill guides the user through a vertical-slice TDD workflow, emphasizing testing behavior through public interfaces. It follows a RED-GREEN-REFACTOR cycle for each test, ensuring minimal code to pass and continuous refactoring.

Inputs & outputs

You give it
User request to implement a new feature, fix a bug, or change behavior in production code.
You get back
Production code developed using vertical-slice TDD, with tests verifying behavior through public interfaces.

When to use evanflow-tdd

  • Implementing new features
  • Fixing production bugs
  • Writing testable services
  • Refactoring logic

About this skill

EvanFlow: TDD

Vocabulary

See evanflow meta-skill. Key terms: vertical slice, behavior through public interface, deep module.

Core Principle

Tests verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't break unless behavior changes.

Good test: "user can perform action X within their weekly rate limit" — describes capability.

Bad test: "calls createX() with status 'QUEUED' then queues a job" — describes mechanics. Renames break it.

Anti-Pattern: Horizontal Slices

DO NOT write all tests first then all implementation. That produces tests of imagined behavior, not actual behavior. They become insensitive to real changes.

DO vertical slices: one test → one implementation → repeat. Each test responds to what you learned from the previous cycle.

When to Use

  • Any production code change (new feature, bug fix, behavior change, refactor with behavior implications)
  • All new code in your backend's routers and services
  • All new code in your frontend that has testable logic (not pure-presentation components)

When to Skip (with explicit user approval)

  • Throwaway prototypes
  • Generated code (e.g., database.types.ts)
  • Configuration files
  • Pure-presentation React components with no logic

The Flow

1. Embedded Grill — "What to Test"

Before writing any test, confirm with the user:

  • "Which behaviors matter most? We can't test everything."
  • "What's the public interface — what will callers actually use?"
  • "Are there opportunities to make this a deep module (small interface, complex internals)?"
  • "Where do tests need to integrate with real services (DB, payment provider, email provider) vs. where can we test in isolation?"

Anti-tailoring check (vertical slicing's biggest risk): before each new test, ask:

  • "Am I pinning behavior the spec/contract names, or am I pinning the impl I've already imagined?"
  • "Could I write this next test knowing only the public contract, before reading any of the impl I just wrote?"
  • "If a different impl satisfied the same contract, would this test still pass?"

If the test only makes sense given your specific impl, it's an internals test wearing a behavior costume. Rewrite it against the contract, or drop it.

Default to integration-style tests against real services (real DB, real queue, real cache) where feasible. Mocked dependencies frequently mask divergence between test and production behavior. Document any project-specific exception in your CLAUDE.md.

2. Tracer Bullet

Write ONE test for ONE behavior end-to-end. Prove the path works.

RED:      Write test → run → confirm it fails for the RIGHT reason
GREEN:    Write minimal code → run → confirm it passes
REFACTOR: Clean the impl + the test you just wrote, while it's fresh and green

The REFACTOR step is non-optional and per-cycle — it happens with the test you just wrote as your safety net, not after all tests are done. Refactoring cold code days later is a different (weaker) activity; that lives in evanflow-iterate.

3. Incremental Loop

For each remaining behavior, repeat the full RED-GREEN-REFACTOR cycle:

RED:      Write next test → fails for the right reason
GREEN:    Minimal code to pass → passes
REFACTOR: Clean before moving on (see checklist below)

Rules:

  • One test at a time
  • Only enough code to pass the current test
  • Don't anticipate future tests
  • Tests focus on observable behavior, not internals
  • Never skip REFACTOR. "I'll clean it up later" is how dead code, duplication, and shallow modules accumulate.

4. Per-Cycle Refactor Checklist

After each GREEN, before writing the next failing test, scan the just-touched code:

  • Duplication — extract if used twice with the same intent (not just structurally similar)
  • Naming — does the new name match what the code does? Rename now, while the test pins behavior
  • Deletion test — does the new module/function earn its existence, or did GREEN add bloat?
  • Deep-module check — small interface hiding the complexity, or shallow wrapper leaking it?
  • Test cleanliness — does the test still describe behavior crisply? Names, setup, assertion all clear?

Run tests after each refactor step. Never refactor while RED — get to GREEN first.

If a refactor would change behavior, stop: that's a new test, not a refactor.

5. Macro Refactor (deferred to evanflow-iterate)

Cross-cutting refactors that span the whole feature (extracting a shared module across multiple cycles, pulling out a deeper abstraction, restructuring the file layout) belong in evanflow-iterate's self-review pass — after all per-cycle refactors are done. Don't conflate the two: per-cycle refactor uses a fresh test as safety net; macro refactor uses the whole test suite.

Per-Cycle Checklist

[ ] Test describes behavior, not implementation
[ ] Test uses public interface only
[ ] Test would survive an internal refactor (rename, restructure)
[ ] Code is minimal for this test
[ ] No speculative features added
[ ] Test fails for the right reason before code is written
[ ] ASSERTION IS CORRECT — see warning below

⚠️ Assertion-Correctness Warning

Industry research (HumanEval evaluation across four LLMs) found that over 62% of LLM-generated test assertions were incorrect. This is the single most likely failure mode in LLM-driven TDD: the test passes, but it's testing the wrong thing.

Before writing any test assertion, verify:

  • Does this assertion match what the user actually wants? Don't assert on behavior you imagined — assert on behavior the spec/contract names.
  • Is this the assertion's most-precise form? "result is truthy" is weaker than "result equals 42". Loose assertions catch wrong things and miss right things.
  • Would this assertion still pass if the code was subtly wrong? Mentally introduce a one-character bug — does the assertion catch it? If not, the assertion is too weak.
  • Are you asserting on the right field? A common failure: asserting response.status when the meaningful field is response.body.error.
  • For computed values: did you compute the expected value correctly? Don't trust your own arithmetic — verify by hand or another path.

When in doubt about what to assert, STOP and ask the user rather than guess. An asserted-on-the-wrong-thing test is worse than no test — it provides false confidence.

Hard Rules

  • Vertical slices only. Never write all tests first.
  • REFACTOR is per-cycle, not deferred. Every GREEN is followed by a refactor pass on the just-written code, with the fresh test as safety net. Deferring all refactor to the end strips the safety net and is the most common way TDD-shaped code ends up with TDD-shaped scars.
  • Test behavior, not internals. If a rename breaks a test but behavior didn't change, the test was wrong.
  • Watch the test fail. If you didn't see RED, you don't know it tests the right thing.
  • Never auto-commit. TDD cycle is RED-GREEN-REFACTOR, not RED-GREEN-REFACTOR-COMMIT.
  • Default to real services for integration tests. Mocked databases routinely diverge from production behavior — prefer a test DB unless your project documents a specific exception.

Hand-offs

  • Tests + impl complete for the task → return to evanflow-executing-plans to mark task done
  • Discovered the interface is wrong → evanflow-design-interface to redesign
  • Discovered deeper architectural issue → evanflow-improve-architecture

When not to use it

  • For throwaway prototypes.
  • For generated code (e.g., `database.types.ts`).
  • For configuration files.

Limitations

  • DO NOT write all tests first then all implementation.
  • REFACTOR is per-cycle, not deferred.
  • Tests verify behavior through public interfaces, not implementation details.

How it compares

This TDD approach focuses on testing observable behavior through public interfaces and performing continuous, per-cycle refactoring, which differs from writing all tests first or deferring refactoring to the end.

Compared to similar skills

evanflow-tdd side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
evanflow-tdd (this skill)03moNo flagsAdvanced
qlty-check57moReviewBeginner
solid56moNo flagsAdvanced
code-refactor37moReviewIntermediate

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