10 Important Prompt for Software Engineers
1. Code Refactoring Prompt: “Refactor this code to make it cleaner and more Pythonic: {code}” Prompt with Example: “Refactor this code: for i in range(len(arr)): print(arr[i])” What for: To improve code readability, performance, or adhere to best practices. Example: for item in arr: print(item) 2. Bug Fixing Prompt: “Fix the bug in this code: {code} and explain what went wrong.” Prompt with Example: “Fix the bug in this code: x = int('123a')” What for: To debug and resolve issues in the code. Example: try: x = int('123a') except ValueError: print("Invalid input, cannot convert to integer.") 3. Code Generation Prompt: “Write a function to {task} in {language}.” Prompt with Example: “Write a function to reverse a string in Python.” What for: To quickly generate functions or reusable code snippets. Example: def reverse_string(s): return s[::-1] print(reverse_string("hello")) # Output: "olleh" 4. Write Unit Tests Prompt: “Write unit tests for the following function: {code}.” Prompt with Example: “Write unit tests for this function: def add(x, y): return x + y” What for: To ensure code behaves as expected through automated tests. Example: import unittest def add(x, y): return x + y class TestAddFunction(unittest.TestCase): def test_add(self): self.assertEqual(add(2, 3), 5) self.assertEqual(add(-1, 1), 0) unittest.main() 5. SQL Query Generation Prompt: “Write an SQL query to {task}.” Prompt with Example: “Write an SQL query to find all users older than 30.” What for: To create or optimize SQL queries for databases. Example: SELECT * FROM users WHERE age > 30; 6. Explain Code Prompt: “Explain what the following code does: {code}.” Prompt with Example: “Explain this code: for i in range(3): print(i)” What for: To clarify or document code for better understanding. Example: “The loop iterates over values 0, 1, and 2, printing each value.” 7. Code Conversion Prompt: “Convert this {source_language} code to {target_language}: {code}.” Prompt with Example: “Convert this Python code to JavaScript: print('Hello')” What for: To translate code between programming languages. Example: console.log('Hello'); 8. Regex Creation Prompt: “Write a regex to {task}.” Prompt with Example: “Write a regex to validate email addresses.” What for: To validate or extract patterns from strings using regular expressions. Example: ^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$ 9. Generate API Request Code Prompt: “Write code to send a {request_type} request to {url} using {language}.” Prompt with Example: “Write code to send a GET request to https://api.example.com/data using Python.” What for: To create API integration code. Example: import requests response = requests.get("https://api.example.com/data") print(response.json()) 10. System Design Suggestions Prompt: “Design a system for {use_case} and describe its architecture.” Prompt with Example: “Design a system for an image upload service.” What for: To outline a scalable system design or architecture. Example: “Use the following components: Storage: AWS S3 for image storage. API: Load-balanced servers to handle upload requests. Processing: Background worker to resize or process images. Delivery: Use a CDN for fast delivery of images.”* To be honnest this is created by AI, with my ‘great’ prompt 😃 . prompting is the key of learning anything now. when it used to be a google search technique. If content in Internet now somehow could easyly created by AI is the prompt is actually more important to kmow than the content it self? just wondering. ...