Results for “ai-code-reviewability”

Scans codebases for security vulnerabilities by reasoning about code context, data flow, and component interactions, covering injection flaws, secrets exposure, authentication issues, and weak cryptography across multiple languages.

Conducts systematic security code reviews to identify exploitable vulnerabilities, reporting only high-confidence findings after researching the codebase.

Enforces a principal-engineer self-review checklist on every code block before output, covering correctness, performance, security, naming, and testability.