What to do when the AI gets stuck in a loop of bad fixes?
Why Loops Happen
AI can get stuck when it lacks enough information or when the problem is ambiguous. It might keep suggesting variations of the same incorrect fix because it doesn't understand the root cause.
Another common cause is that the AI is trying to fix a symptom rather than the underlying issue. Without feedback from running the code, it can't learn from its mistakes.
Breaking the Loop
First, stop asking for fixes and instead ask the AI to explain what it thinks the problem is. Then, provide more details: the exact error, what you've tried, and what happened.
If that doesn't work, simplify the problem. Create a minimal reproducible example and ask the AI to fix that. Or, start a new conversation with a clear summary of the issue.
- Ask the AI to restate the problem in its own words.
- Provide the full error message and relevant code again.
- Break the problem into smaller, independent parts.
- Try a different approach or ask for alternative solutions.
- Start a fresh chat with a concise problem statement.
When to Take Over
If the AI keeps failing, it might be faster to debug manually or search for the error online. Use the AI as a brainstorming tool, not the only source of truth.
Consider pair programming with a human or using traditional debugging tools like breakpoints and logging.
Common mistakes
- Continuing to ask for fixes without providing new information, leading to repetitive suggestions.
- Not testing each suggested fix before asking for another, so you can't tell the AI what went wrong.
- Assuming the AI will eventually get it right without changing your approach.
