10 Practical DeepSeek R1 Prompts for Coding
Pro tip: If you are working with APIs, use Apidog to design, document, test, debug, and mock codes generated by DeepSeek! You will work 100 times faster. Here are 10 practical prompts designed to help with coding tasks such as code generation, debugging, optimization, and more: 1. Code Generation Prompt: "Generate a Python function that takes a list of integers as input and returns the sum of all even numbers in the list." Use Case: Quickly create a function to solve a specific problem. 2. Debugging Assistance Prompt: "I have the following Python code that is throwing an error. Can you help me identify and fix the issue? [Insert code snippet]." Use Case: Debugging code that isn't working as expected. 3. Code Optimization Prompt: "Optimize this JavaScript function for better performance: [Insert code snippet]." Use Case: Improve the efficiency of existing code. 4. Algorithm Explanation Prompt: "Explain how the QuickSort algorithm works and provide a step-by-step example with the array [5, 3, 8, 4, 2]." Use Case: Understand complex algorithms with practical examples. 5. API Integration Prompt: "Write a Python script to fetch data from a REST API (e.g., https://api.example.com/data) and parse the JSON response." Use Case: Automate API interactions and data processing. 6. Database Query Prompt: "Write an SQL query to find all customers who made a purchase in the last 30 days from a table named orders." Use Case: Retrieve specific data from a database. 7. Code Refactoring Prompt: "Refactor this Java class to follow the SOLID principles: [Insert code snippet]." Use Case: Improve code readability and maintainability. 8. Error Handling Prompt: "Add proper error handling to this Python script that reads a file and processes its contents: [Insert code snippet]." Use Case: Make code more robust by handling exceptions. 9. Framework-Specific Code Prompt: "Create a React component that displays a list of items fetched from an API and allows the user to filter the list by a search term." Use Case: Build UI components using specific frameworks. 10. Testing and Validation Prompt: "Write unit tests for this Python function using the unittest framework: [Insert function code]." Use Case: Ensure code reliability by creating test cases. These prompts can be tailored to your specific needs and programming language of choice. What prompts you are using to help with the coding work?
Pro tip: If you are working with APIs, use Apidog to design, document, test, debug, and mock codes generated by DeepSeek! You will work 100 times faster.
Here are 10 practical prompts designed to help with coding tasks such as code generation, debugging, optimization, and more:
1. Code Generation
- Prompt: "Generate a Python function that takes a list of integers as input and returns the sum of all even numbers in the list."
- Use Case: Quickly create a function to solve a specific problem.
2. Debugging Assistance
- Prompt: "I have the following Python code that is throwing an error. Can you help me identify and fix the issue? [Insert code snippet]."
- Use Case: Debugging code that isn't working as expected.
3. Code Optimization
- Prompt: "Optimize this JavaScript function for better performance: [Insert code snippet]."
- Use Case: Improve the efficiency of existing code.
4. Algorithm Explanation
-
Prompt: "Explain how the QuickSort algorithm works and provide a step-by-step example with the array
[5, 3, 8, 4, 2]." - Use Case: Understand complex algorithms with practical examples.
5. API Integration
-
Prompt: "Write a Python script to fetch data from a REST API (e.g.,
https://api.example.com/data) and parse the JSON response." - Use Case: Automate API interactions and data processing.
6. Database Query
-
Prompt: "Write an SQL query to find all customers who made a purchase in the last 30 days from a table named
orders." - Use Case: Retrieve specific data from a database.
7. Code Refactoring
- Prompt: "Refactor this Java class to follow the SOLID principles: [Insert code snippet]."
- Use Case: Improve code readability and maintainability.
8. Error Handling
- Prompt: "Add proper error handling to this Python script that reads a file and processes its contents: [Insert code snippet]."
- Use Case: Make code more robust by handling exceptions.
9. Framework-Specific Code
- Prompt: "Create a React component that displays a list of items fetched from an API and allows the user to filter the list by a search term."
- Use Case: Build UI components using specific frameworks.
10. Testing and Validation
-
Prompt: "Write unit tests for this Python function using the
unittestframework: [Insert function code]." - Use Case: Ensure code reliability by creating test cases.
These prompts can be tailored to your specific needs and programming language of choice. What prompts you are using to help with the coding work?
