Better AI prompts cut rework: be specific about symptoms, constraints, and checks

A developer writing for DEV Community argues that vague prompts like 'what's wrong with this code' are among the costliest mistakes in AI-assisted development. Imprecise requests force the model to guess intent, often producing rewrites that miss the actual problem and trigger multiple correction rounds. Because AI usage is metered by context, each extra round costs more while output quality degrades as the conversation window fills. The author recommends structured prompts that include the specific symptom, a hypothesis, a behavioral constraint, and a verification step such as running tests. Periodic open-ended exploration still has value for surfacing blind spots, but should be routed through a subagent to keep the main context clean.