pattern-detection

Detect code smells, security vulnerabilities, anomalies, and trends across codebases using regex, AST analysis, and statistical methods. Detect long functions : Duplicate code patterns : Magic numbers : SQL Injection risks : Hard-coded secrets : Dangerous function usage : Import analysis : TODO/FIXME patterns : Error handling patterns : Regex patterns : Statistical anomaly detection : - Identifies problematic patterns including long functions, duplicate code, magic numbers, empty catch blocks, and TODO/FIXME markers - Scans for security risks such as SQL injection, hard-coded secrets, dangerous function usage (eval, innerHTML), and credential exposure patterns - Performs statistical anomaly detection using Z-score and IQR methods to flag outliers in numerical data - Includes regex-based sensitive data detection for emails, phone numbers, credit cards, and SSNs, plus time-series trend analysis with moving averages and growth rate calculation - Generates structured reports with severity levels and actionable recommendations; read-only operation with built-in false-positive awareness - Code review : Proactively detect problematic patterns - Security review : Scan for vulnerability patterns - Refactoring : Identify duplicate code - Monitoring : Alert on anomalies - Incremental analysis : Start with simple patterns - Minimize false positives : Use precise regex - Check context :...