ask-questions-if-underspecified

Clarifying requirements before coding involves identifying gaps in objectives, acceptance criteria, scope, and constraints, then pausing implementation until those critical details are resolved. This prevents wasted effort by ensuring task requirements are unambiguous before development begins.

Resolving underspecified task requirements is best achieved by generating targeted, multiple-choice questions with sensible defaults. This approach quickly highlights missing details in scope and constraints, allowing developers to state assumptions or gather necessary answers before proceeding.

Asking concise, targeted questions with sensible defaults balances ambiguity resolution with development speed. It pauses workflow only for must-have answers, allowing the user to explicitly approve proceeding with stated assumptions if details remain unknown.

Proceeding with implementation when constraints are missing is possible if the user explicitly approves proceeding with stated assumptions. The workflow pause lifts once must-have answers are provided or the user accepts the defaults.

Automated scoping tools for requirement ambiguity should not be used when a task is already fully specified with clear acceptance criteria and constraints. They are designed specifically to halt implementation only when gaps in objectives or scope are detected.

Requirement clarification works effectively for vague tickets by asking specific questions about target user segments, improvement metrics, and design constraints. It detects the missing details in such underspecified tasks and presents concise questions to resolve them.