Introduction
Cursor's Agent can read a codebase, edit several files, run the terminal and fix its own errors in a single turn. For a working engineer that is a superpower. For a second-year computer-science student it can be a trap: the assignment compiles, the grade looks fine, and the student has learned almost nothing about recursion, pointers or SQL joins. Universities are now asking whether AI coding tools belong in the classroom at all, and students are some of Cursor's most enthusiastic early users.
This question asks us to design a Cursor Agent experience that keeps the speed students love while making sure they actually build skill. I'll clarify the problem, explain why this is worth building, segment users, map pain points, propose and prioritise solutions, and close with success metrics.
Interviewers at AI tool companies want to see that you can design for a user who is not the paying buyer's default persona. Show that you understand both the student's short-term incentive (finish the assignment) and the long-term goal (become a capable engineer).
Step 1
Clarify Questions (3 minutes)
Propose the Goal
Help computer-science students finish coding work faster while measurably improving their understanding, so they trust Cursor as a learning tool and keep using it after graduation.
Define the Scope
In scope: a learning-first behaviour for Agent and Tab, explanations, practice prompts and progress signals inside the editor. Out of scope: building a full course platform, grading, or proctoring software.
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