Our research introduces a novel framework for analyzing programmer psychological traits by combining automated code analysis and sentiment assessment. Our contribution is in the form of a framework that can identify key behavioral traits such as attention to detail, collaboration orientation, and problem-solving tendencies. Unlike traditional survey-based methods, this approach offers objectivity and applicability across diverse programming contexts. Experimental results demonstrate its potential to contribute to software engineering, developer productivity research, and cognitive profiling of programmers.