code-optimizer

Detect performance anti-patterns by deploying 13 parallel agents that use pattern-based scanning with Grep and Glob to surface issues across multi-language stacks before inspecting surrounding code for context. This identifies database, memory, and concurrency inefficiencies without requiring full code reads upfront.

Audit code performance automatically by deploying specialized agents that hunt for distinct problem classes using reference-file guided scanning. It analyzes patterns across Node.js, Python, and Go stacks, prioritizes findings by severity, and compiles actionable remediation steps.

Yes, code optimization scanning works for database queries and build configurations, alongside memory usage, concurrency, I/O, and rendering scenarios. The parallel agents detect anti-patterns across these distinct classes to provide actionable remediation suggestions.

Prioritize code refactoring suggestions by severity through an end-to-end workflow that detects anti-patterns using Grep, verifies context, and compiles actionable remediation steps. This structured approach ensures findings are ranked by their performance impact.

Yes, you can find concurrency and I/O bottlenecks without reading code first because the agents use pattern-driven scanning to surface anti-patterns via Grep and Glob before inspecting surrounding code for context verification.