code-analyzer

To analyze code complexity metrics across a codebase, run static analysis to compute maintainability scores and identify recurring design patterns. This extracts deep code metrics to surface architectural hotspots and inform refactoring planning.

Yes, static analysis detects code smells and architectural patterns by scanning source code to identify dependencies and recurring structures. This highlights maintainability concerns and guides modernization efforts or targeted refactoring.

Yes, you need a local Node.js environment and direct access to the project's source code. This environment executes the static analysis computations required to identify design patterns and extract codebase metrics.

The best way to identify complexity hotspots in a new codebase is running deep code analysis to extract metrics and detect recurring patterns. This surfaces maintainability concerns and dependencies, accelerating architectural assessments.

Yes, the static analysis and pattern detection capabilities apply across multiple languages. It computes codebase metrics and identifies design patterns regardless of the specific programming languages used in the source.

Static analysis fails without source access because it requires direct reads of the project's files to compute metrics and identify patterns. Ensuring the local Node.js environment has proper permissions resolves this limitation.