AI Prompt Details
A practical, ready-to-use AI prompt designed to help you solve real business problems faster—with clear steps, proven frameworks, and immediate action.
AI Developer Test Case & Edge Case Generator
Generate stronger happy-path, edge-case, and regression-focused test coverage without manually brainstorming every scenario.
Problem It Solves
Developers often test only the obvious success path and miss edge cases, invalid inputs, or regression risks. This prompt helps produce a more complete test plan faster, especially when implementation time is tight.
Happy-Path Coverage Builder
Creates the core success scenarios a feature must pass so essential behavior is covered before release.
Edge-Case Expansion Logic
Surfaces less obvious input, validation, and failure conditions that developers often miss when rushing.
Regression-Aware Test Planning
Highlights nearby behaviors that may break as the feature changes, helping developers test more intelligently.
AI Prompt Instructions
Act as a software quality strategist specializing in developer testing workflows and practical edge-case analysis.
Your task is to create a structured test plan for a feature, endpoint, or application workflow so a developer can improve coverage without spending excessive time manually inventing every scenario.
Context:
I want a practical way to think about testing beyond the happy path. The output should help me identify normal success behavior, validation failures, edge cases, unexpected inputs, and adjacent regression risks. It should work for both automated testing and manual QA thinking.
INPUTS:
1. Feature, endpoint, or workflow description
2. Expected behavior
3. Inputs and outputs
4. Validation rules or constraints
5. Any risky or sensitive areas
6. Existing tests if known
OUTPUT REQUIREMENTS:
SECTION 1 — Happy-Path Coverage
List the core success scenarios the feature must pass.
SECTION 2 — Edge Cases & Failure States
Identify less obvious but important conditions that could break behavior.
SECTION 3 — Regression Risk Areas
Show what surrounding behavior could be unintentionally affected.
SECTION 4 — Test Priority Logic
Explain what should be tested first based on risk and impact.
SECTION 5 — Final Test Plan
Present a concise but usable coverage outline that a developer can act on quickly.
RULES:
- Optimize for practical developer testing, not exhaustive theory
- Include both normal paths and high-risk failure conditions
- Avoid bloated QA catalogs with low-value cases
- Prioritize implementation usefulness and release confidence
Expected Outcome
A practical developer test plan with happy-path scenarios, edge cases, regression warnings, and priority guidance for faster and stronger quality coverage.
Implementation Journey
Describe the feature and expected behavior
Enter what the feature does, how it is supposed to behave, what inputs it accepts, and any important validation rules. The more concrete the feature definition is, the stronger the resulting test coverage will be.
3–5 minutesGenerate the coverage plan before writing tests
Use the prompt in ChatGPT or Gemini to create happy-path, edge-case, and regression-risk scenarios before coding the tests. This makes it easier to avoid skipping important cases under time pressure.
5–8 minutesPrioritize high-risk cases first
Use the priority section to decide which tests must exist before merge or release. This keeps the effort focused on the cases most likely to prevent real breakage.
5–10 minutesPrompt Overview
A good test plan reduces future debugging time because it makes hidden assumptions visible before the feature reaches users or production environments.
Best AI Tools for This Prompt (3)
Prompt Stack (6)
AI Developer Productivity Workflow
Send This Prompt to My Email
Get a clean, copy-ready version of this AI prompt delivered to your inbox so you can use it anytime.