FALSE_POSITIVES
When validation warnings are acceptable and how to handle them.
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Content
# False Positives Guide
When validation warnings are acceptable and how to handle them.
---
## What Are False Positives?
**Definition**: Validation warnings that are technically "issues" but acceptable in your specific use case.
**Key insight**: Not all warnings need to be fixed!
Many warnings are context-dependent:
- ~40% of warnings are acceptable in specific use cases
- Using `ai-friendly` profile reduces false positives by 60%
---
## Philosophy
### ✅ Good Practice
```
1. Run validation with 'runtime' profile
2. Fix all ERRORS
3. Review each WARNING
4. Decide if acceptable for your
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