Why AI coding needs an assessment loop
A practical way to check whether learners understand context, decomposition, verification, and iteration when coding with AI.
AI can make a beginner feel fast before the understanding has caught up. That is useful energy, but it needs a check. A short assessment loop helps learners see whether they can explain the work, not just produce it.
Test the habit, not trivia
The useful questions are about behavior: how to give AI context, how to split a feature, how to verify the result, and how to turn feedback into the next drill.
Feedback should point to practice
A score is only helpful when it tells the learner what to do next. Missed verification questions should lead to verification drills. Missed prompting questions should lead to clearer context and constraints.
AI stays in the loop
The goal is not to stop using AI. The goal is to use it with enough structure that the learner can inspect, debug, and explain what ships.