Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code

Researchers have proposed new complexity metrics designed to measure the behavior of AI-integrated applications, which rely heavily on natural language prompts rather than just traditional code. Current assessment tools fail to account for the logic embedded in these prompts, leaving developers without accurate ways to evaluate system stability or maintenance requirements.