code-quality

Code quality metrics for a TypeScript repository are calculated by evaluating cyclomatic complexity, duplication, naming conventions, documentation coverage, and TypeScript strictness to produce a 0-100 quality score. The analysis outputs per-file insights and actionable recommendations suitable for code reviews.

Cyclomatic complexity analysis measures the number of linearly independent paths through a function's source code to identify highly complex functions in your Node.js/TypeScript codebase. It then suggests targeted refactors to reduce complexity and improve overall code maintainability.

Yes, this code quality analysis is designed for medium and large Node.js/TypeScript repositories, operating across multiple files and modules. It delivers deterministic, reproducible scoring and structured diagnostics regardless of repository size.

To check TypeScript strictness and JSDoc documentation coverage, evaluate the strictness flags in your configuration, verify the presence of type annotations, and detect JSDoc blocks. This evaluates how thoroughly typed and documented your Node.js codebase is.

The best way to set up a code quality gate before merging Node.js code is to run a deterministic analysis that computes a 0-100 score based on complexity, duplication, naming, documentation, and TypeScript strictness. This delivers structured diagnostics suitable for automated quality gates.

Yes, the code quality scoring results are deterministic and fully reproducible across multiple runs. The analysis consistently computes the 0-100 score and structural breakdown, ensuring reliable diagnostics for code reviews and quality gates every time.