How to Use Amazon CodeWhisperer for Bug Fixing and Debugging
Accelerate bug resolution using Amazon CodeWhisperer — analyze error logs, identify root causes, generate fix suggestions, and write regression tests. Covers systematic debugging workflows and avoiding whack-a-mole fixing.
Implementation Steps
- 1
Feed error context to AI
Provide: stack trace, error message, relevant source files, recent git changes, and reproduction steps.
- 2
Generate root cause hypotheses
AI analyzes context and proposes 3-5 potential root causes ranked by likelihood.
- 3
Verify with targeted debugging
Add logging or breakpoints at suggested locations. Narrow to actual root cause.
- 4
Generate fix and regression test
AI proposes code fix. Generate test that reproduces the bug and verifies the fix.
- 5
Review for side effects
Check if fix affects other code paths. Run full test suite. Review with team member.
Expected Metrics
Ehsan's Recommendation
The debugging workflow matters more than the tool. Developers who dump a stack trace into Amazon CodeWhisperer and paste the first suggestion back into code are doing it wrong. The right workflow: let AI generate hypotheses, verify with targeted debugging, then write the regression test first. The test-first approach prevents the fix from breaking something else — which happens 15-20% of the time with untested fixes.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council