Fragments: June 2

Greg Wilson identifies common metrics used to assess AI tool value such as lines of code generated and tickets closed. He explains each metric's specific flaw including lack of context and misalignment with actual work. Wilson lists developer productivity surveys as another flawed approach due to subjective responses. The analysis does not include any proposed alternatives for measuring AI tool effectiveness. No metric reliably reflects real developer output or value creation. Wilson's critique highlights the difficulty of measuring software development outcomes.