performance-smell-detection

To identify Java performance smells, scan your codebase for common inefficiencies in streams, boxing, regex usage, and collection handling. This analysis highlights probable hot paths and recommends profiling steps to guide safe optimization without automated fixes.

Common Java performance smells include excessive autoboxing in streams and inefficient collection handling. These inefficiencies often create hidden hot paths that require measurement data from profiling tools to validate before applying any safe optimizations.

Yes, you need measurement data from profiling tools to accurately check Java performance smells. The review identifies potential code-level inefficiencies, but profiling data is required to confirm hot paths and ensure responsible optimization.

Yes, you can scan modern Java applications to find regex performance issues along with streams, boxing, and collection smells. It provides context-aware guidance and best-practice recommendations to help developers assess hot paths during code reviews.

The best way to optimize Java code without blind refactoring is to identify potential performance smells first, then validate them using measurement data from profiling tools. This ensures you apply safe, best-practice recommendations rather than guessing.

Yes, a key limitation is that detecting Java performance smells provides guidance only and does not perform automated fixes. Developers must use measurement data from profiling tools to validate hot paths and apply optimizations responsibly.