performance▌

Diagnose and fix SwiftUI performance issues through code review and Instruments profiling guidance. \n \n Classifies symptoms (slow rendering, janky scrolling, CPU spikes, memory growth, hangs, excessive view updates) and performs code-first review against common anti-patterns like invalidation storms, unstable list identity, and layout thrash. \n Guides users through Instruments profiling when code review alone is inconclusive, with structured intake checklists and trace analysis. \n Provides r

Lighthouse-based performance optimization with budgets, critical rendering path guidance, and Core Web Vitals alignment. \n \n Defines resource budgets (1.5 MB total, <300 KB JS, <100 KB CSS) and provides server response optimization (TTFB <800ms, HTTP/2, edge caching) \n Covers resource loading strategies: preconnect/preload directives, deferred CSS, script deferral patterns, and code splitting techniques \n Includes image optimization (AVIF/WebP selection, responsive markup, LCP

Diagnose and resolve Convex performance issues across reads, writes, subscriptions, and function limits. \n \n Covers four problem classes: hot-path reads and data amplification, OCC write conflicts and contention, subscription cost and reactivity overhead, and function execution or transaction size limits \n Starts with signal gathering from deployment health insights or CLI tools, then routes to the relevant reference guide based on the problem type \n Emphasizes tracing full read and write se