code-review

To review source code for security and maintainability, you can apply language-specific review heuristics to identify correctness, consistency, and complexity issues. This process classifies actionable findings by severity to reduce production defects and regressions.

Scanning a multilingual codebase for dead code and duplication involves performing a project-level health check. This detects corruption signals like hygiene issues and complexity across Python, Go, Java, JavaScript/TypeScript, C#, and Rust to generate a report-oriented quality assessment.

You can run a task-level code quality check on a specific implementation before handoff. This inspects the code against acceptance criteria, architecture rules, and coding standards after the GREEN phase to ensure the implementation meets project requirements.

Static analysis for code review works across different programming languages by applying dedicated language-aware heuristics. It supports Python, Go, Java, JavaScript/TypeScript, C#, and Rust to evaluate correctness and maintainability consistently across multilingual codebases.

Classifying severity levels when catching code issues before they ship requires applying review heuristics to evaluate correctness, security, and maintainability. The process generates a report-oriented output that categorizes actionable issues by severity to prioritize recommended fixes.