Engineering Unit Testing Test Generation

Unit Test Prompt — Isolation Done Right

Mock the dependencies, test the business logic, one behavior per test — the unit testing contract that bans plumbing tests.

Overview

Bad unit tests come from a missing philosophy: tests that hit the real database, tests named test1, tests asserting that mocks were called instead of that behavior happened. This setup generates the unit testing contract — every dependency mocked, business logic over plumbing, one behavior per test with names that state condition and result, fast and deterministic — plus the failure scenarios unit tests exist for: throwing dependencies, invalid arguments, boundary returns, and wrong-state calls.

How to use this resource

  1. Paste the unit, get the contract

    The prompt carries isolation rules and failure scenarios — the model tests instead of improvising.

  2. Check the mock boundary

    Every external dependency mocked, nothing internal mocked — the line that keeps unit tests unit tests.

  3. Read the ASSUMPTIONS block

    Where the code's intent was ambiguous, the model says so instead of testing its own guess silently.

Why This Works

  • Isolation rules stop the most common AI test failure: integration tests wearing unit test names
  • Named failure scenarios produce the error-path tests happy-path prompts skip
  • One-behavior-per-test discipline makes failures diagnosable from the test name alone

Best for

  • Service and domain logic with mockable dependencies
  • Teams whose AI-generated tests keep touching the network
  • Codebases where test speed is CI speed

Not for

  • Testing real component boundaries — that's the Integration Test Prompt
  • Finding what's wrong with the code — that's the Code Review Prompt Generator

Use cases

  • Generating unit tests that mock instead of hitting real services
  • Getting test names that identify the broken behavior on failure
  • Covering the throwing-dependency paths nobody writes by hand

FAQ

How does this prompt decide which dependencies to mock versus leave real?

The TEST STRATEGY draws the line at the unit boundary: every external dependency (it names database, network, clock, filesystem) is mocked or stubbed, while nothing internal to the unit is. Generate the contract with the Test Case Prompt Generator and run it in ChatGPT, Claude, or Gemini; the model applies that rule, but you confirm the mock boundary matches your actual code before trusting the tests in CI.

Why does the prompt tell the model to skip getters, mappers, and pass-throughs?

Because the strategy tests business logic and decisions, not plumbing. Getters, mappers, and pass-throughs earn a test only when they carry a rule, so the model spends coverage on branches that make decisions instead of padding the file with trivial assertions. The generated prompt encodes that priority; the assistant you run it in still decides case by case, so review which methods it chose to skip.

Which failure scenarios does this contract force tests for that hand-written suites usually miss?

The FAILURE SCENARIOS block names four that each get at least one test: a mocked dependency throwing, invalid arguments at every public entry point, boundary returns from dependencies (empty result, null, maximum size), and state-dependent behavior called in the wrong state. The prompt makes the model attempt all four; you still run the resulting tests to confirm each path actually triggers as asserted.

Where do I look when the generated tests can't cover a behavior?

Read the ASSUMPTIONS and GAPS headings the OUTPUT FORMAT requires after the test file. ASSUMPTIONS list guesses the model made about unspecified behavior; GAPS list behaviors it could not test with the information given. Treat GAPS as a to-do list: feed the missing context back into the prompt and regenerate, rather than shipping those untested paths unexamined.

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