LLM Comprehension Complexity Evaluation
This research reveals that LLM performance degrades significantly as code complexity increases, a critical insight masked by aggregate accuracy metrics. Developers and organizations relying on AI for code review or debugging should consider complexity-specific performance when selecting models, as even advanced models like DeepSeek-Coder-V2 struggle with highly complex code structures.