ChatGPT can assist developers in the code debugging process. Its virtual assistance capabilities allow developers to discuss coding issues and get reports on possible defects or bugs in the code. ChatGPT can provide real-time advice, justifications, and different ways to solve issues. Because of its extensive knowledge base, it has access to a variety of programming languages, libraries, and best practices, making it a valuable tool for solving tricky coding problems. Developers can speed up the debugging process and advance their coding abilities through interactive learning experiences by using ChatGPT for code debugging.
Prompts Example:
- “Describe the error in my code:[ my_list = [5, 2, 3, 1, 4]my_list.sort_descending() ]”
- “Suggest possible reasons for a runtime error: num_list = [1, 2, 3, 4] print(num_list[5]) “
- ” I’m trying to calculate the average of a list, but the result is incorrect. Can you find the issue? Code: num_list = [10, 20, 30, 40, 50] average = sum(num_list) / len(num_list) – 1 print(average)”
- “The ‘result’ variable is not showing the expected output. Can you tell why it’s undefined? Code: def calculate_sum(a, b): result = a + b calculate_sum(5, 10) print(result)”
- “Which tools or libraries can I use in conjunction with ChatGPT to aid in debugging my code?”
- “Explain common strategies for debugging asynchronous code, especially in Node.js applications.”
- ” This code is taking too long to execute. Can you identify any potential bottlenecks? Code: for i in range(1000000): for j in range(1000): result = i * j “
- ” This code is taking too long to execute. Can you identify any potential bottlenecks? Code: for i in range(1000000): for j in range(1000): result = i * j “
Here is the link to the result generated by ChatGPT;
https://chat.openai.com/share/b5c92bf8-27eb-4ed3-8edf-3029baf0fcb1
