Engineers often receive poor results from AI tools due to vague or poorly structured prompts rather than inherent flaws in the technology itself. By being specific, using constraints, providing examples, assigning roles, breaking tasks into smaller parts, refining instead of regenerating, controlling output length, and validating AI suggestions, developers can significantly improve their interactions with AI tools. This approach ensures that AI outputs are more accurate and efficient, aligning closely with project requirements and existing codebases.
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Ali NematiWritten by Ali
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