performance-audit

Static code analysis detects performance bottlenecks and async anti-patterns by evaluating cyclomatic complexity, nesting depth, and fan-out without executing code. It identifies specific functions causing latency and highlights sync-over-async issues or blocking calls in async contexts for targeted optimization.

Static analysis identifies performance hotspots by measuring method length, cognitive complexity, and fan-out across various programming languages. This process pinpoints complex functions and optimization opportunities directly from the source code, ensuring applications run efficiently without requiring a live execution environment.

Yes, static analysis scores code performance and identifies areas needing improvement based on defined metrics. The scoring integrates with debt tracking and project auditing to quantify optimization opportunities, helping developers prioritize refactoring efforts for critical endpoints experiencing latency under load.

Static performance analysis works across various programming languages by evaluating structural code metrics like cyclomatic complexity and nesting depth. It detects async anti-patterns and optimization opportunities regardless of the specific language syntax, providing a consistent performance score for diverse codebases.

Async code runs slowly under load due to blocking calls in async contexts or sync-over-async anti-patterns. Static analysis pinpoints these exact functions causing latency by evaluating cognitive complexity and fan-out, suggesting specific fixes to resolve the performance bottlenecks.

A static code performance audit evaluates cyclomatic complexity, cognitive complexity, method length, nesting depth, and fan-out. These metrics identify complex functions and performance hotspots, generating an optimization score and highlighting areas for improvement to ensure efficient application execution.