🧠 How to Review AI-Generated Code Like a Senior Engineer

Source: Dev.to

✅ 1. Check Edge Cases First

AI usually writes code for the happy path, but real systems fail in unexpected ways. Review whether the code handles:

• Empty inputs – senior engineers assume inputs will break and design the code to handle it.

✅ 2. Validate Assumptions

AI‑generated code often hides assumptions. Example:

• “The API always returns status 200”

Before accepting the code, ask:

• Where does this data come from?
  Many production bugs stem from bad assumptions, not bad logic.

✅ 3. Verify Data Sources

Always review how data enters the system. Ask:

• Is the input trusted?
  Never trust external data without validation.

✅ 4. Look for Hidden Complexity

AI sometimes produces code that looks clean but hides complexity. Watch for:

• Deeply nested conditions

If you can’t explain the code in a few seconds, it’s probably too complex.

✅ 5. Review Error Handling

Many AI snippets have weak error handling. Check whether the code:

• Handles exceptions correctly – production systems should fail clearly and safely.

✅ 6. Watch for Silent Failures

Silent failures are one of the biggest risks in AI‑generated code. Examples include:

• Catching errors but ignoring them

These issues don’t crash the system—they create wrong results quietly. Senior engineers prefer visible failures over hidden ones.

✅ 7. Check Performance and Scalability

AI does not always optimize code. Look for:

• Inefficient loops

Always ask: “Will this still work under heavy load?”

✅ 8. Review Security Risks

AI can accidentally generate insecure code. Check for:

• SQL injection risks

Security reviews are non‑negotiable.

✅ 9. Confirm Architecture Fit

Even if the code works, it may not fit your system design. Review whether it:

• Follows project structure

Good code must fit the existing architecture, not just the feature.

✅ 10. Add Proper Tests

AI rarely produces strong tests. Before shipping code, add:

• Unit tests

Testing is what turns working code into reliable code.

🎯 The Real Difference

AI can generate code, but engineering value comes from judgment and review. The difference between a junior and a senior developer often comes down to one question:

• Junior: “Does it work?”
• Senior: “Is it safe, maintainable, and aligned with the system?”

That mindset separates code generators from real engineers.