ios-performance

To find memory leaks and retain cycles in a SwiftUI app, diagnose strong reference cycles and Timer/Notification cleanup gaps. This identifies memory management issues, classifies them by severity, and provides specific before/after code recommendations to resolve them.

The best way to fix main-thread blocking and CPU bottlenecks in Swift is to evaluate background task efficiency, review async handling, and identify algorithmic inefficiencies. This classifies CPU optimization issues by severity and provides actionable before/after code recommendations.

To optimize battery usage for background processing and network requests in iOS, analyze location usage patterns, network request frequencies, and media handling efficiency. This yields categorized battery optimization recommendations with specific code changes to reduce power drain.

Yes, you can use Instruments profiling to validate iOS performance fixes during code review. The analysis includes specific validation steps using Instruments profiling methods to verify that memory leaks, CPU bottlenecks, and battery inefficiencies have been successfully resolved.

To investigate Core Data performance regressions, you need to provide your Swift or SwiftUI codebase for analysis. This applies to debugging and refactoring scenarios, producing categorized findings with severity levels and actionable optimization guidance for async behavior and Core Data work.