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Debugging with AI

AI can significantly speed up the debugging process by analyzing code, identifying potential issues, and suggesting fixes. This guide covers techniques and best practices for debugging with AI assistance.

  1. Error Analysis

    • Paste error messages into an AI tool
    • Get explanations of what went wrong
    • Receive potential solutions
  2. Code Review

    • Submit suspicious code sections
    • Get insights into potential bugs
    • Learn about edge cases you might have missed
  3. Root Cause Analysis

    • Describe the unexpected behavior
    • Let the AI suggest possible causes
    • Narrow down the issue systematically
  • Copy-paste the complete error message
  • Include relevant code context
  • Ask for explanation and solutions
  • Describe what you expected to happen
  • Explain what actually happened
  • Share the relevant code section
  • Share performance metrics
  • Include code that might be causing slowness
  • Ask for optimization suggestions
  • Be specific about the problem
  • Include all relevant context
  • Share error messages verbatim
  • Provide code examples
I'm getting this error in my Python code:
File "example.py", line 42, in process_data
return data[10]
IndexError: list index out of range
Here's the relevant code:
def process_data(data):
# Process the first 10 items
for i in range(10):
data[i] = data[i].strip()
return data[10] # This line fails
How can I fix this issue?
  • Use AI to generate test cases
  • Step through code with AI assistance
  • Get explanations of complex code behavior
  • Paste log files for analysis
  • Identify patterns or anomalies
  • Get suggestions for log improvements
  • Share memory usage patterns
  • Get help identifying potential leaks
  • Learn about memory management best practices
  • AI might suggest incorrect fixes
  • May not understand complex business logic
  • Could miss security vulnerabilities
  • Might not be aware of the latest library versions
  • GitHub Copilot: Inline code suggestions
  • Amazon CodeGuru: Automated code reviews
  • DeepCode: AI-powered code review
  • Tabnine: AI code completion with debugging support
  • Practice with your own code
  • Compare AI suggestions with manual debugging
  • Learn from the AI’s explanations
  • Stay updated with new AI debugging features