Running Performance Benchmarks

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This skill provides expert guidance for performance benchmarking within the UFC Pokedex project, leveraging established shell scripts and TanStack Query benchmarks to measure API response times. It automates the process of baseline comparisons, historical tracking, and regression detection, allowing developers to see exactly how code changes impact performance. With built-in workflows for load testing and before/after optimization comparisons, it ensures that endpoints meet strict performance targets and identifies specific commits that may have introduced latency, integrating seamlessly with database backends and investigative sub-agents.

Características Principales

• 2 GitHub stars
• Automated API endpoint response time measurement and baseline validation
• Regression detection comparing current results against historical benchmarks
• High-concurrency load testing and stress testing using Apache Bench
• Standardized JSON result storage with timestamped reporting
• Cross-backend performance analysis for PostgreSQL and SQLite environments

Casos de Uso

• Validating performance improvements after database indexing or query optimization
• Monitoring performance trends over time to prevent gradual latency degradation
• Conducting load tests to determine system breaking points under concurrency