optimize

To identify API cost inefficiencies and performance bottlenecks, you can scan your project using parallel agents that analyze architecture documentation and context. This provides prioritized optimization recommendations based on cost and latency assessments.

The best way to analyze infrastructure latency and database performance simultaneously is through multi-dimensional scanning. This approach evaluates API costs, database queries, and latency metrics in parallel to generate actionable, prioritized reports.

You need to scan your architecture for LLM usage and database query optimization when you suspect they are becoming inefficient. Pinpointing specific endpoints early prevents budget overruns and negative user experience impacts.

Yes, you need project-specific context files to perform accurate API cost and latency assessments. The scanning agents require integration with your architecture documentation to evaluate the project context correctly.

Optimization recommendations are categorized by impact, effort, and risk. This prioritized reporting structure helps you decide which API cost and performance issues to address first for instant gains.