When choosing commands or prompts to generate code with AI, here are five key tips to ensure you get effective and relevant results:
1️⃣ Be Specific and Detailed Example:
Vague: “Generate a sorting function.”
Specific: “Generate a Python function that sorts a list of dictionaries by a specific key in ascending order.”
2️⃣ Define the Input and Output Clearly Example:
Input: List of numbers
Output: List with numbers sorted in descending order
3️⃣ Include Constraints or Requirements
Example:
Constraint: The code should run efficiently for large datasets.
Requirement: Follow PEP 8 style guide for Python code.
4️⃣ Ask for Code Comments and Documentation
Example:
Command: “Generate a JavaScript function that calculates the factorial of a number and include comments explaining each step.”
5️⃣ Request Code for Specific Use Cases or Examples
Example:
Command: “Write a SQL query to retrieve all records from the ‘employees’ table where the ‘department’ column is ‘Sales’ and sort the results by ‘hire_date’ in descending order.”
By following these tips, you can craft commands that lead to more accurate and useful code generation from AI, enhancing both efficiency and effectiveness in your coding tasks.