performance-audit

Frontend performance bottlenecks can be identified by analyzing codebase artifacts directly, bypassing Lighthouse to inspect static builds and assets. This process surfaces issues in bundle size, image optimization, lazy loading, and code splitting without executing runtime tests.

Static code analysis for web performance examines build outputs and caching configurations to quantify bottlenecks. It works by parsing file names and sizes across your project to report recommended fixes for bundle and asset optimization without running the application.

Check bundle size and code splitting configurations by running a static performance audit on your project. This preflight scan examines build artifacts to ensure no obvious performance regressions exist prior to a major release, reporting findings with specific file names and sizes.

Yes, you can detect image optimization and lazy loading issues by applying static analysis to your codebase artifacts. The audit targets these specific areas alongside caching configuration to quantify bottlenecks and provide recommended fixes without runtime execution.

No, this static performance audit requires no runtime environment or dependencies to function. It operates directly on codebase artifacts, analyzing builds, assets, and caching configurations to surface frontend performance issues without executing Lighthouse or live tests.

Use a codebase performance audit instead of Lighthouse when you need to preflight a project before a major release or when runtime tests are not feasible. It identifies static issues in bundle size and asset configuration without running the application.