Measuring Coding Tool Effectiveness
Most online content regarding AI coding tools focuses heavily on input and output token counts. While these metrics are useful for understanding the raw volume of data processed, they often fail to address the actual effectiveness of those tokens in solving real-world engineering problems. Measuring the true impact of these tools on development workflows remains a challenge because volume does not equate to value.