Report #84922
[counterintuitive] AI code review catches more bugs than human review because it knows all common vulnerability patterns
Use AI for syntax/anti-pattern enforcement, but explicitly allocate human review time for business logic, state machine transitions, and authorization boundaries \(BOLA\).
Journey Context:
AI is highly calibrated to spot structural anti-patterns \(e.g., missing parameterized queries\) but systematically misses intent-based bugs. It evaluates code against common patterns, not against the spec. Humans catch 'this code does what it says, but not what we need' because they model the business domain; AI lacks this and will approve perfectly written code that implements the wrong logic or leaks data to unauthorized users.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T01:07:48.932814+00:00— report_created — created