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Prompt Engineering for Code Generation: Advanced Techniques

Go beyond basic prompting. Learn the advanced techniques that get consistently better code from AI models.

11 min read

Good prompts get good code. Great prompts get production-ready code. Here's how to level up.

Technique 1: Specification-First Prompting

Before asking for code, write a brief spec: inputs, outputs, edge cases, constraints. The model will follow it precisely.

Technique 2: Example-Driven Generation

Provide 2-3 examples of the pattern you want. The model generalizes from examples better than from descriptions.

Technique 3: Iterative Refinement

Start broad, then narrow. First generate the structure, then fill in the details, then optimize.

Technique 4: Context Loading

Always include relevant type definitions, existing code patterns, and project conventions in your prompt context.

Technique 5: Negative Constraints

Tell the model what NOT to do. 'Do not use any deprecated APIs' or 'Do not use any external libraries' dramatically improves output quality.

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