Auto-Fix is not the Problem. The Signal is the Problem.
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✓ Human-authored analysis; AI used for formatting and proofreading. Harry Wetherald (Maze) makes a case against auto-fixing vulnerabilities: most findings are false positives, every code or cloud change carries risk. So auto-fixing everything means introducing risk for zero security benefit. His proposed path: first improve understanding (AI investigates findings in context), then generate fix suggestions for humans, then eventually automate the fixes once they're reliable. The problem…
1Key Takeaways
- ✓ Human-authored analysis; AI used for formatting and proofreading.
- Harry Wetherald (Maze) makes a case against auto-fixing vulnerabilities: most findings are false positives, every code or cloud change carries risk.
- So auto-fixing everything means introducing risk for zero security benefit.
- His proposed path: first improve understanding (AI investigates findings in context), then generate fix suggestions for humans, then eventually automate the fixes once they're reliable.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that ✓ Human-authored analysis; AI used for formatting and proofreading.
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