code-reviewer

Automated code review for security vulnerabilities and naming conventions uses regex-based pattern matching to scan directories, identifying anti-patterns and hardcoded secrets without consuming LLM tokens. You can run full scans or targeted checks for specific categories.

Yes, you can run a targeted security scan instead of a full check. The tool supports multiple review modes, allowing you to specifically scan for security vulnerabilities, naming convention violations, or performance bottlenecks independently across your codebase.

Regex-based pattern matching for code quality assurance scans code against regular expressions to detect anti-patterns, security risks, and naming issues efficiently without needing expensive language models or complex parsing infrastructure.

Automated code review integrates with your CI/CD pipeline by executing regex-based scans on directories to catch code quality issues before production. It operates without LLM dependencies, ensuring lightweight integration across various programming languages.

Limitations of using regex for code analysis include relying on predefined patterns rather than semantic understanding of program logic. While effective for hardcoded secrets and naming conventions, complex structural performance issues may remain undetected.