Student roadmaps
If you're not sure what to learn next, I'll build a clear weekly plan with milestones, resources, and accountability so you can keep moving forward.
A roadmap in 2026 has to cover two things, not one: what you study, and what you can do with AI closed. Skip the second column and you can finish a whole semester on time and still not be able to start a blank file.
Free · About 15 minutes · Answered without AI, no credit card
Send your goal + timeline and I’ll reply with a recommended plan.
If you qualify, you can apply for a free 7-day trial for the mentorship track.
Study plans used to answer one question: what do I learn next. That is no longer enough.
Topics, order, and weekly targets. Loops before recursion, pointers before linked lists, the ordinary dependencies that decide whether the next course feels hard or impossible. This is the part every study plan already has.
For each milestone, a short list of things you should be able to write, trace, or explain from nothing. With AI open you can appear to finish almost anything, so the plan has to state plainly what you can do once it is closed.
You keep using AI on the way there. The checkpoints are not a punishment, they are the only honest measure of whether the week actually worked. A milestone you can only hit with a prompt open is not finished yet, and it is much better to learn that on a Tuesday than during a closed book exam.
Five steps, in this order, because skipping ahead is how students end up back where they started.
We separate what you genuinely understand from what AI has been carrying for you. Most students have never had an honest answer to that, and it is usually smaller than they feared.
We rebuild only the concepts causing the damage. You do not relearn a whole semester, you fix the handful of ideas everything else was resting on.
You keep using AI, but you learn to ask for explanations, hints, feedback, and practice instead of finished answers. Same tools, completely different result.
You solve problems, explain code out loud, and fix your own bugs with AI closed. This is the part that kills exam panic before the exam.
Projects, past exams, practice problems, and interview style questions until you have proof, not hope, that you can program.
The free AI Coding Dependency Test scores you across 10 skill areas with no AI, in about 15 minutes. Your roadmap is built from those results, so you rebuild the few things that are actually broken instead of restudying a whole semester.
Tell me your course, your deadline, and how much you are leaning on AI. I'll reply with the fastest next step. First hour is free.
Be honest about the AI part. None of this makes you a bad student, it makes you a student in 2026, and it changes what I recommend.