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A practical prompt template for AI coding that forces decision points into the spec: inputs/outputs, constraints, edge cases, acceptance tests, and phased delivery. Designed for LLM-era teams that need repeatable quality.
A practical clarifying-questions checklist for AI-assisted development. Turn vague requests into implementable specs by forcing decision points: scope, constraints, failure behavior, acceptance tests, and rollout/ops.