DynaCode introduces a dynamic complexity-aware benchmark that addresses the fundamental weakness in static code evaluation approaches for large language models.

• Creates parameterized code problems that can generate virtually unlimited variations with controlled complexity
• Prevents memorization and data contamination that plague static benchmarks
• Enables more reliable and robust evaluation of LLMs' true code generation capabilities
• Provides granular assessment across different complexity dimensions of programming tasks

For engineering teams, DynaCode offers a more accurate way to measure AI coding assistants' actual capabilities rather than their ability to recall training examples, leading to better tool selection and development.

DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation