What information should I provide for AI debugging?

The complete error message, relevant code, and what you've tried so far along with the expected behavior.

Is the solution provided by AI always correct?

Not necessarily, it's essential to understand the solution and test it step by step before implementing it.

What's the best tool to use for debugging?

Using Cursor or Windsurf within an editor is more accurate because it can read the entire project context.

Debugging with AI: Let AI Help You Quickly Identify and Fix Bugs

Stuck on a bug for hours? AI can help you understand errors, locate issues, and provide solutions. This article teaches you the correct debugging workflow.

Debugging is one of the most practical AI applications

Writing code involves spending a significant amount of time debugging. AI can understand error messages, infer possible causes, and provide solutions, often resolving issues that have been stalled for a long time in just a few minutes.

Basic approach: provide sufficient context

When using ChatGPT or Claude for debugging, provide the following three essential pieces of information:

Complete error message (don't just paste one line)
Relevant code
What you've already tried and expected behavior

The more complete the context, the more likely AI will be able to pinpoint the issue.

Debugging directly in the editor

Using AI editors like Cursor or Windsurf, you can select the problematic code and ask "what's wrong," and it can read the entire project context, making it more accurate than pasting fragments.

Let agents fix issues themselves

For complex or repetitive bugs, you can use agents like Devin or Jules to locate, modify, and submit PRs, and then review them.

Good debugging habits

Change only one thing at a time and test immediately after
Ask AI to "explain" why something is wrong, rather than just providing a solution — you'll learn something
AI's solutions may not always be correct, so understand them before adopting

Conclusion

AI debugging can save a significant amount of time spent on being stuck, but it's a tool, not a scapegoat. Provide sufficient error context, understand its reasoning, and you'll debug efficiently and gain something from it. For further reading: AI programming guide, Using AI for code review.