Analyzes code paths, data structures, and architecture to identify and score scalability bottlenecks.
The Evaluate skill for the Lore framework provides a deterministic methodology for auditing the scalability of software components and systems. It systematically scans for O(n^2) patterns, memory leaks, unbatched I/O operations, and architectural readiness, providing a standardized 25-point performance score. By identifying critical bottlenecks and providing prioritized recommendations with specific file references, it helps developers transition from functional code to high-performance, production-grade infrastructure.
主要功能
010 GitHub stars
02Automated complexity analysis for time and space efficiency
03Detailed reporting with prioritized critical and minor findings
04Standardized 25-point scoring system across five dimensions
05Detection of inefficient I/O patterns and unbatched operations
06Architectural assessment for horizontal scaling and state management
使用场景
01Ensuring new features meet strict service-level objectives for latency
02Reviewing backend services for performance before peak traffic events
03Auditing legacy codebases to find hidden architectural bottlenecks
