gpui-performance

What problem does it solve?

GPUI applications can suffer from slow rendering, high memory usage, and general performance bottlenecks, leading to a poor user experience and difficult debugging. This Skill provides comprehensive techniques to identify and resolve these issues.

Core Features & Use Cases

• Rendering Optimization: Learn to minimize unnecessary renders, optimize subscription updates, and apply memoization patterns for a smoother UI.
• Memory Management: Implement strategies to prevent memory leaks, avoid circular references, use bounded collections, and reuse allocations for efficient resource utilization.
• Profiling Strategies: Utilize CPU profiling (cargo-flamegraph), memory profiling (valgrind, heaptrack), and custom performance monitoring to pinpoint bottlenecks.
• Use Case: A Rust developer building a GPUI application notices UI lag and high CPU usage. This Skill provides step-by-step code examples and profiling tools to diagnose and fix the performance issues, ensuring a fluid and responsive user experience.

Quick Start

Install cargo-flamegraph for CPU profiling

cargo install flamegraph

Profile your GPUI application

cargo flamegraph --bin your-app