performance▌

Performance testing measures how systems behave under various load conditions, including response times, throughput, resource utilization, and scalability. It helps identify bottlenecks, validate performance requirements, and ensure systems can handle expected loads.

Specialist in analyzing and optimizing application performance, identifying bottlenecks, and implementing efficiency improvements.

Optimize application performance end-to-end using specialized performance and optimization agents:

$20

Frameworks for measuring, reporting, and optimizing marketing performance across channels and campaigns.

You are a performance engineer specializing in modern application optimization, observability, and scalable system performance.

Performance-specific guidelines apply only to the hot path. Don't prematurely optimize—focus these patterns where they matter most.

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Identify render hotspots, isolate expensive updates, and apply targeted optimizations without changing UI behavior.

Systematic approach to measuring, analyzing, and optimizing application performance. \n \n Covers Core Web Vitals (LCP, INP, CLS) with target thresholds and measurement stages from development through production \n Provides a 4-step profiling workflow: establish baseline, identify bottleneck, apply fix, validate improvement \n Includes tool selection guidance for specific problems (Lighthouse for page load, DevTools for runtime and memory, bundle analyzers for code size) \n Documents common runt