AI-Assisted Debugging and Code Review

Two of the most time-consuming activities in development — debugging and code review — benefit significantly from AI assistance. This lesson covers the specific techniques.

Debugging with AI

The "explain this error" approach Paste your error message, the relevant code, and a brief description of what you expected to happen. Ask the AI to explain the error and suggest fixes.

• This is often faster than searching Stack Overflow because:
• The AI can see your specific code, not just a generic version of the problem
• It can explain why the error is happening, not just how to fix it
• It can suggest multiple possible causes ranked by likelihood

The rubber duck with knowledge Debugging often requires explaining a problem out loud to clarify your thinking. AI makes this interactive: explain what you expect to happen, what is actually happening, and ask "what am I missing?"

The AI will ask clarifying questions or point out the discrepancy you have been overlooking.

Systematic narrowing For complex bugs, ask the AI to help you narrow the problem space:

"Here is a function that should calculate X but sometimes returns Y. I have confirmed that the input is correct. Walk me through the most likely places the bug could be, in order of probability."

Reading unfamiliar error messages Stack traces from unfamiliar frameworks can be opaque. Paste the full stack trace and ask for a plain-language explanation of what went wrong and where.

Code Review with AI

AI is an effective first-pass code reviewer. It does not replace human review but can catch a category of issues quickly.

What to ask an AI code reviewer:

"Review this function for: > 1. Logic errors and edge cases I may have missed > 2. Performance issues > 3. Security concerns (particularly around input validation and data handling) > 4. Readability and naming > Please be specific about any issues you find and suggest concrete improvements."

Security-focused review For any code handling user input, authentication, or sensitive data:

"Review this code specifically for security vulnerabilities. Look for: SQL injection, XSS vulnerabilities, improper authentication checks, exposed sensitive data, and any other security concerns."

Performance review > "Identify any performance bottlenecks in this code. Look for: unnecessary database calls in loops, inefficient data structures, memory issues, and operations that could be cached or batched."

The Limitations of AI Code Review

AI code review is not a replacement for human review:

• It cannot review for correctness against your specific business requirements
• It does not know your team's conventions and patterns
• It may miss subtle architectural problems
• It can give false confidence by approving code that has non-obvious issues

Use AI review as a checklist tool before human review, not as a substitute for it.