optimize

To speed up runtime performance, analyze your code to identify bottlenecks and apply targeted optimizations. The process yields a prioritized, actionable plan recommending specific fixes across your files or modules.

Optimizing database queries for slow API handlers involves analyzing the query structure and refactoring code paths to reduce latency. You receive an end-to-end optimization plan targeting database efficiency and architecture-level concerns.

Yes, you can analyze memory usage and bundle size for an entire project. The analysis identifies efficiency improvements and bottlenecks across single files, modules, or complete systems and outputs a structured, actionable plan.

No specific dependencies are required to run a performance analysis on your system. You simply provide a target file or module along with optional focus flags to get a tailored optimization plan without external library constraints.

Targeted optimization handles architecture-level performance concerns by evaluating the entire system structure to identify systemic bottlenecks. It recommends fixes that improve runtime, memory, and database efficiency across the project.