A learning platform built for students who can no longer code without AI open in the next tab. It gives you a compiler, courses, and classrooms — but every AI feature is engineered to guide, not solve.
"Today a student pastes an error into an AI and pastes the answer back. Code Mentor breaks that loop — the AI points, the student fixes."
You reached past the end of the string. The if is fine — look at where your loop decides to stop.
It surfaces on line 5, but it is caused on line 4. How many indexes does that range produce for a 6-letter word?
Our primary objective is to enable students to understand code logic and fix their own errors independently.
Make debugging a practised skill rather than a copy-paste reflex.
Teach programming at each learner's real, verified level — not their self-claimed one.
Give teachers a place to run classrooms, daily problems, tests and lab experiments with honest evaluation.
Keep students returning daily through streaks, tournaments, and reward points.
Let advanced learners turn their skill into income as paid peer mentors for beginners.
Connect learning to real outcomes through AI career guidance backed by live hiring data.
A general AI chatbot hands back a rewritten program. You copy it, it runs, and your problem-solving skill decays. Code Mentor is engineered with strict rules so your structure survives and your logic improves.
Comparing Code Mentor with AI chatbots, judge sites (LeetCode), and traditional video courses.
When your program fails, Code Mentor does not take over. It opens up assistance strictly one tier at a time as you remain stuck.
Explains what the error means in plain words — what the compiler is objecting to. Zero code snippets. No line number revealed yet.
If you still cannot locate the bug, the platform highlights the exact line containing the error. Fix is still withheld so you work out the logic.
As an absolute last resort, shows the corrected version of that one single faulty line. Every other line of your program remains untouched.
Available on any code attempt or lab experiment. When a student explains their own code line by line, the bug surfaces on its own.
Teachers get a complete portal to run courses, assign daily problems, set timed lab experiments, and grade with automated efficiency and anti-cheating controls.
Switch strictness per test or lab experiment:
Marks reward efficient solutions — not just code that happens to execute:
Teachers run live class sessions, set tasks on the spot, and monitor real-time student attempts while teaching inside the built-in compiler environment.
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Code Mentor replaces the "paste code, get code" habit with an AI that only gives hints, locations, and single-line corrections.