code-analyze

Static analysis for JavaScript code quality is executed via a command interface that loads a shell script to surface maintainability risks, complexity metrics, and quality gaps using standard tools like grep and awk.

Yes, you can measure complexity metrics in a TypeScript monorepo. The analysis applies to both single-package and monorepo structures to help identify hotspots and maintainability risks across your codebase.

Code complexity metrics are quantitative measurements that surface maintainability risks and quality gaps. You need them to identify hotspots, reduce risk, and enforce quality standards across your codebase.

Integrate static analysis into CI by running the command-driven interface to perform deterministic checks, detecting hotspots and enforcing code quality standards automatically across your JavaScript and TypeScript projects.

No external dependencies are required. The analysis runs using standard shell tools like grep, find, and awk already available in your environment, executing through a provided main shell script without additional package installations.

Shell-based static analysis may not suit contexts requiring deep AST parsing or complex type inference beyond standard text processing. If your project needs intricate semantic analysis rather than surface-level metrics, consider alternative approaches.