Pair inputs with outputs
Two representative input-output pairs establish the normal transformation more clearly than disconnected examples.
FEW-SHOT PROMPT PLANNER
Plan a balanced set of representative inputs, expected outputs, edge cases, and counterexamples for a more testable coding prompt.
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
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Two representative input-output pairs establish the normal transformation more clearly than disconnected examples.
At least one edge case and one forbidden output reveal where the rule stops.
Capped points reward balanced coverage and output-format clarity without encouraging a bloated prompt.
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Start with the smallest diverse set that demonstrates normal, boundary, and forbidden behaviour. Add more only when they resolve a real ambiguity.
It is a plausible input or output that must not be accepted, often paired with the rule it violates or the required error behaviour.
No. Examples clarify instances; acceptance criteria state the general rules that every valid implementation must satisfy.
| Feature | MVPHub | GitHub Copilot | Cursor |
|---|---|---|---|
| Focused input-based assessment | Included | Limited | Limited |
| Transparent calculation | Included | Limited | Limited |
| No repository access required | Included | Limited | Limited |
| Workflow-specific next steps | Included | Limited | Limited |
GitHub Copilot supports reusable prompt files in some IDE workflows, and Cursor supports reusable project rules and context. MVPHub calculates whether a proposed example set is balanced before use.
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