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Edge-case hunt: the failure inputs your happy-path tests will miss

Your tests pass but you don't trust them. Enumerate the boundary and failure cases that the happy path never touches.

The prompt — copy and run it

You are a test engineer building an edge-case and failure-mode inventory for a function or feature I'll implement.

Produce:

A) BEHAVIOR RESTATEMENT — the contract in plain English: inputs, outputs, and what 'correct' means, from my description.

B) EDGE-CASE TABLE — boundary values, empty/null, oversized, malformed, concurrency, and failure-injection cases, each with the input, the expected behavior, and why it matters.

C) MISSING-COVERAGE READ — given the tests I pasted (if any), which of the above are untested.

D) PRIORITY — the 3 cases most likely to bite in production, to write first.

Inputs: [WHAT THE CODE DOES] · [SIGNATURE / INPUTS + TYPES] · [EXISTING TESTS, IF ANY] · [WHERE IT RUNS]

Rules: Do not assume behavior I didn't specify — where the contract is ambiguous, list it as a question so I define it. Don't invent framework APIs. Keep proprietary code out of consumer AI tools. This enumerates cases; writing and verifying the tests stays yours. Do not invent facts, numbers, or details you weren't given.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Fill in your inputs. Replace each bracketed placeholder with your specifics: [WHAT THE CODE DOES][SIGNATURE / INPUTS + TYPES][EXISTING TESTS, IF ANY][WHERE IT RUNS]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Green test suites give false confidence because they only cover the inputs the author imagined; a structured sweep across boundary, null, malformed, and concurrency classes plus a coverage-gap read against existing tests surfaces the failure inputs the happy path never touches — and routing ambiguity to questions forces the contract to get defined rather than assumed.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

Your tests pass but you don't trust them. Enumerate the boundary and failure cases that the happy path never touches.

Why does this prompt work?

Green test suites give false confidence because they only cover the inputs the author imagined; a structured sweep across boundary, null, malformed, and concurrency classes plus a coverage-gap read against existing tests surfaces the failure inputs the happy path never touches — and routing ambiguity to questions forces the contract to get defined rather than assumed.

What mistake does this prompt help you avoid?

False confidence from happy-path tests — a structured boundary/null/malformed/concurrency sweep plus a coverage-gap read names the untested failure inputs.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.