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Quality Score
Readability Analysis
AI tools parse your code's AST (Abstract Syntax Tree) to check naming conventions, comment density, and formatting consistency. They compare against style guides like Airbnb, Google, or Standard.
Logic Verification
AI models trace execution paths looking for unreachable code, null pointer risks, off-by-one errors, and missing edge cases. They also flag cyclomatic complexity above thresholds.
Security Scanning
Tools like GitHub Copilot use pattern matching to detect hardcoded API keys, SQL injection vectors, XSS vulnerabilities, and insecure dependencies. They reference CVE databases in real-time.
Best Practices Check
AI reviews for DRY violations by comparing code similarity across functions. They check function length, parameter count, and whether error handling follows the fail-fast principle.