codeprobe-performance

Run a performance audit to detect and score N+1 queries and missing indexes. The analysis covers lazy loading inside loops and identifies queries that would benefit from indexes, producing a severity-scored report with actionable fix prompts.

Yes, performance audits apply to both backend and frontend stacks across Python, TypeScript, and PHP. The analysis detects memory usage, caching, concurrency, and frontend render or bundle-size issues across these languages.

Run a pre-release health check to warn on unbounded queries fetching entire datasets without pagination. This audit surfaces critical hotspots and generates actionable fix prompts to prevent scalability issues.

The code audit scores performance and scalability issues by severity across N+1 queries, memory usage, caching, and concurrency. It produces a structured report with severity-scored findings and actionable fix prompts for each detected hotspot.

Yes, the performance analysis catches frontend render or bundle-size issues impacting UX. It flags memory-heavy patterns and cache inefficiencies, providing severity scores and fix prompts for frontend performance hotspots.

An automated performance audit detects and scores issues across N+1 queries, missing indexes, and concurrency that manual reviews often miss. It emits a structured report with severity-scored findings and actionable fix prompts for faster remediation.