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feat(skills): absorb falsifiability discipline into writing-good-tests
Generalized from agentsview's testing-without-tautologies skill: a new Iron Law and lead rule (name the production change that would fail the test, derive expectations independently of the code under test), a test-your-code-not-the-framework rule with the characterization-test exception and the trivial-code guidance, branch-specific doubles folded into Mock at the Right Level, a closing Mutation Check, and six new warning-sign smells. Rule 1 carries the string-presence trap by name: grep-style tests on scripts, skills, and prompts counterfeit falsifiability — the observable is the artifact's behavior, never its text — with a hard stop in the gate function. Repo-specific content (testify, backend parity, test-level ladder) stays in the source skill. Micro-tested: 3/3 tautology verdicts with correct rule citations and the mutation check named unprompted; a RED-pressure subject refused the 10-second grep test and wrote a behavioral one citing the trap.
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@@ -204,6 +204,7 @@ Next failing test for next feature.
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| **Shows intent** | Demonstrates desired API | Obscures what code should do |
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When writing or changing any test, read [writing-good-tests.md](writing-good-tests.md) for the rules that keep tests honest:
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- Name the production change that would make the test fail — before writing it
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- Assert on real behavior, never on mock behavior
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- Keep test-only code in test utilities, out of production classes
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- Understand a dependency's side effects before mocking it
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@@ -8,22 +8,86 @@ adding cleanup/helper methods for tests.
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Good tests verify real behavior. Mocks exist to isolate the code under
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test — they are never the thing being tested.
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**Core principle:** Test what the code does, not what the mocks do.
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**Core principle:** Test what the code does, not what the mocks do — and
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make every test able to fail.
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Strict TDD produces every rule below naturally: a test written first and
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watched failing against real code only earns a mock when the real
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dependency proves slow or external. A test asserting on a mock means TDD
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was skipped somewhere.
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watched failing against real code has already proven it can fail, and
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only earns a mock when the real dependency proves slow or external. A
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test asserting on a mock means TDD was skipped somewhere.
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## The Iron Laws
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```
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1. Assert on real behavior, never on mock behavior
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2. Production classes carry production methods only
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3. Understand a dependency's side effects before mocking it
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1. Every test can fail — name the production change that would fail it
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2. Assert on real behavior, never on mock behavior
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3. Production classes carry production methods only
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4. Understand a dependency's side effects before mocking it
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```
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## Rule 1: Assert on Real Behavior
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## Rule 1: Write Tests That Can Fail
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Before writing or changing a test, name the production change that would
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make it fail. If you cannot, redesign the test around an observable
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behavior — a test that cannot fail protects nothing.
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Derive expected values independently of the code under test: literals,
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hand-checked fixtures, small worked examples, or invariant assertions.
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Keep test logic simple enough to review by inspection — table-driven
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tests with literal `want` values are the preferred shape.
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```typescript
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// ✅ GOOD: literal, hand-derived expectation
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test('builds tag query', () => {
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expect(buildSearchQuery({ tag: 'urgent' })).toBe('tag:"urgent"');
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});
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```
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```typescript
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// ❌ The violation: expectation computed by the logic under test
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test('builds tag query', () => {
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const expected = buildSearchQuery({ tag: 'urgent' }); // same builder!
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expect(buildSearchQuery({ tag: 'urgent' })).toBe(expected); // always true
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});
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// ❌ Subtler: the expectation reuses the same helper the code calls
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test('formats timestamp', () => {
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expect(render(entry)).toContain(formatTime(entry.ts)); // mirrors implementation
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});
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```
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A mirror assertion re-derives the answer with the answer's own machinery:
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it passes no matter what that machinery does.
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**The string-presence trap.** For a script, skill, prompt, or config, a
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test that asserts the source contains an exact line counterfeits this
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rule: it can fail (delete the line), so it passes the letter of
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falsifiability while asserting only that the source is the source. It
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breaks on every legitimate rewording and survives every real regression.
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The observable for a script is what it does — run it against controlled
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inputs and assert outputs, side effects, or exit codes. The observable
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for a document that instructs an agent is the consuming agent's behavior
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— pressure-test it. Text containment is never the observable.
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### Gate Function
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```
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BEFORE writing the test body:
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Ask: "What production change should make this test fail?"
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IF you cannot name one:
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STOP - Redesign the test around an observable behavior
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IF the only answer is "the source text changed":
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STOP - Run the artifact and assert its effects instead
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Ask: "Is the expected value derived independently of the code under test?"
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IF it reuses the code's own logic or helpers:
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STOP - Replace it with a literal or hand-checked fixture
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```
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## Rule 2: Assert on Real Behavior
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```typescript
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// ✅ GOOD: Test the real component
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@@ -60,7 +124,7 @@ BEFORE asserting on any mock element:
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Test real behavior instead
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```
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## Rule 2: Keep Test Cleanup in Test Utilities
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## Rule 3: Keep Test Cleanup in Test Utilities
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```typescript
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// ✅ GOOD: Test utilities own test cleanup
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@@ -110,12 +174,18 @@ BEFORE adding any method to a production class:
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STOP - Wrong class for this method
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```
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## Rule 3: Mock at the Right Level
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## Rule 4: Mock at the Right Level
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Learn what the real method does — every side effect — before replacing
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it. Mock the slow or external operation and preserve the behavior your
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test depends on.
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Make doubles specific to their contract: when arguments, call counts, or
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ordering matter, assert them — a fake that accepts anything verifies
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nothing. And give each branch its own double: success, error, and
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malformed paths each get their own fixture or spy, so the wrong branch
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cannot satisfy the expectation.
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```typescript
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// ✅ GOOD: Mock the slow part, preserve behavior the test needs
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test('detects duplicate server', () => {
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@@ -165,7 +235,7 @@ BEFORE mocking any method:
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- Mocking before tracing the dependency chain
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```
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## Rule 4: Mirror Real Data Completely
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## Rule 5: Mirror Real Data Completely
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Mock the COMPLETE data structure as it exists in reality, not just the
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fields your immediate test uses.
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@@ -209,13 +279,50 @@ BEFORE creating mock responses:
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If uncertain: include all documented fields
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```
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## Rule 5: Tests Ship With the Implementation
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## Rule 6: Test Your Code, Not the Framework
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Test the contract your code makes at its boundaries — the route you
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register, the query you emit, the payload shape you produce, the value
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handoff between layers. Dependencies' documented mechanics are their
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maintainers' tests to write.
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```typescript
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// ✅ GOOD: your contract at the boundary
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test('GET /sessions/:id returns 404 for unknown id', async () => {
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const res = await request(app).get('/sessions/nope');
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expect(res.status).toBe(404);
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expect(res.body.error).toBe('session not found');
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});
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```
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```typescript
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// ❌ The violation: re-proving the router works as documented
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test('router calls handler for matching route', () => {
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const handler = vi.fn();
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router.get('/x', handler);
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router.handle(makeRequest('/x'));
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expect(handler).toHaveBeenCalled();
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});
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```
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When upstream behavior genuinely surprised you (a quoting rule, an event
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ordering), write one narrow characterization test around your integration
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point and name the assumption in the test name or a comment.
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The same boundary applies inside your own code: test behavior, not that
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the implementation is written the way it is currently written. Plain
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constructor assignment, getters, trivial forwarding, and data-only
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structs earn tests only when they validate, normalize, default, derive,
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enforce, or cause side effects — otherwise assert the first
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consumer-visible result that depends on them.
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## Rule 7: Tests Ship With the Implementation
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Testing is part of implementation. The TDD cycle — failing test, minimal
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implementation, refactor — is what "complete" means; "implementation
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complete, ready for testing" describes an unfinished task.
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## Rule 6: Prefer Real Components Over Complex Mocks
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## Rule 8: Prefer Real Components Over Complex Mocks
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Integration tests with real components are often simpler than elaborate
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mocks. Reach for one when you see:
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@@ -227,15 +334,33 @@ mocks. Reach for one when you see:
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**your human partner's question:** "Do we need to be using a mock here?"
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## The Mutation Check
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Before finishing, mentally mutate the production code. At least one test
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should fail for each realistic mutation:
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- Wrong constant or argument
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- Wrong branch handler
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- Missing state change or side effect (row not written, event not emitted)
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- Empty or default return
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- Missing validation for zero, empty, nil, unauthorized, or malformed input
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A mutation no test can catch marks the behavior as unprotected — or the
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test as tautological.
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## Quick Reference
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| When you... | Do |
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|-------------|-----|
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| Write any test | Name the production change that would make it fail |
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| Build an expected value | Derive it independently — literal or hand-checked fixture |
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| Want to assert on a mocked element | Test the real component, or unmock it |
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| Need cleanup that only tests use | Put it in test utilities |
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| Are about to mock a method | Learn its side effects first; mock the slow/external level |
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| Build a mock response | Mirror the real structure completely |
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| Reach for a dependency test | Test your boundary contract, not their documented mechanics |
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| Finish an implementation | Tests already exist (TDD) — or it is unfinished |
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| Finish a test file | Run the mutation check |
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| Watch mock setup balloon | Switch to an integration test with real components |
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## Warning Signs
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@@ -246,3 +371,9 @@ mocks. Reach for one when you see:
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- The test fails when you remove the mock
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- You can't explain why the mock is needed
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- Mocking "just to be safe"
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- Setup and assertion share the same object, guaranteeing equality
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- The test can fail only through a panic, crash, or missing selector
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- The test would still matter if only the framework remained
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- Expected values are hidden behind loops, builders, or helpers
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- The test greps source text instead of observing behavior
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- The test asserts that a removed function, file, or symbol stays removed
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