Mathematical benchmark exposing the massive performance gap between real agents and LLM wrappers. Rigorous multi-dimensional evaluation with statistical validation (95% CI, Cohen's h) and reproducible methodology. Separates architectural theater from real systems through stress testing, network resilience, and failure analysis.

Generating data for benchmarking effect of context window size on LLM creativity in story writing

Comprehensive multi-IDE AI model benchmarking framework supporting Cursor, Windsurf, VSCode, and other IDEs with automated testing and performance comparison capabilities

A comprehensive benchmarking platform for CPT, ICD-10, and HCPCS coding questions. Identifies the most reliable models for healthcare applications. Evaluates multiple AI models on medical coding expertise through iterative consensus-building.

🤖 Benchmark AI agent capabilities, bridging the gap between hype and reality with clear metrics and insights for informed development decisions.

🚀 Evaluate and compare AI models across multiple IDEs with a comprehensive benchmarking framework for accurate performance insights.