Prompting Effectively

This guide helps you write effective prompts for CodeAI to get the best possible results.

Principles of Effective Prompting

• Clarity and Specificity: Be clear and specific about what you want the AI to do. Avoid ambiguity.
• Context: Provide sufficient context for the AI to understand the task.
• Constraints and Format: Specify any constraints (e.g., length, tone) and the desired output format (e.g., JSON, bullet points).
• Examples: Include examples of desired input/output pairs if possible.
• Iterative Refinement: Prompting is an iterative process. Start with a basic prompt and refine it based on the AI's responses.

Prompting Techniques

• Role-Playing: Assign a persona to the AI (e.g., "Act as a senior software engineer").
• Chain of Thought: Ask the AI to think step-by-step before providing the final answer.
• Few-Shot Learning: Provide a few examples of input-output pairs to guide the AI.
• Negative Constraints: Tell the AI what not to do.
• Temperature and Top-P: Experiment with model parameters like temperature and top-p to control creativity and randomness.