performance-concurrency-advisor

What problem does it solve?

Analyze and improve performance, throughput, latency, and concurrency behavior in Kotlin plus Spring services using real evidence from metrics, traces, SQL, thread or heap signals, and code paths. Use when endpoints are slow, pools saturate, coroutines or reactive flows block unexpectedly, N+1 or contention appears, or caching and parallelism decisions need precise, non-generic guidance.

Core Features & Use Cases

• Evidence-driven bottleneck localization across layers: database query count and latency, connection pool contention, downstream HTTP or messaging latency, thread pool starvation, event-loop blocking, and cache misses or invalidation churn.
• Actionable, minimal-change recommendations with explicit tradeoffs and verification steps, guided by measured evidence.
• Use Case: When a Kotlin Spring service under load shows tail latency spikes, this skill identifies the true bottleneck and proposes the smallest high-leverage change with a clear validation plan.

Quick Start

Provide a set of runtime metrics and traces for your Kotlin Spring service and let the analyzer identify bottlenecks and propose the smallest high-leverage change.