bmad-performance-optimization

Identifying bottlenecks involves profiling your application under real-user load and benchmarking to pinpoint latency, throughput, or resource regressions. This Skill diagnoses bottlenecks across backend, frontend, database, and infrastructure layers, then designs optimization plans with measurable acceptance criteria.

A benchmark plan defines load scenarios and acceptance thresholds aligned with your SLAs. This Skill helps you create benchmark plans, establish regression tests, and track performance budgets so changes don't degrade latency or throughput without detection.

Performance optimization requires translating diagnostic findings into actionable backlog items with clear owners, acceptance criteria, and measurable targets. This Skill transforms bottleneck analysis into a structured optimization backlog tied to performance budgets and SLAs.

Yes. This Skill applies to scalable product architectures spanning backend, frontend, database, and infrastructure layers, addressing latency, throughput, and resource regressions holistically across your entire stack.

Effective optimization requires instrumentation coverage that captures telemetry from real-user load, benchmarking, and capacity planning scenarios. This Skill requires telemetry input and helps define which metrics and SLIs must be tracked to validate optimizations.

Performance budgets translate business SLAs into engineering constraints—defining acceptable latency, throughput, and resource limits. This Skill ensures optimization work targets measurable budgets traceable to SLA commitments, preventing regressions at scale.