Case Study

Practical cases: feedback protocol, evaluation closed loop, code review and programming education data

Case studies should not stop at “how to use AI tools better”. This article uses four engineering scenarios: model selection evaluation, feedback protocol design, code review signal precipitation, and programming education data closed loop to explain how humans can transform the AI ​​collaboration process into evaluable, trainable, and reusable mentor signals.