How to Turn AI Coding Practice into a 12-Week Plan

AI coding becomes much easier to learn when practice has a visible shape. Instead of trying every tool in the same week, I use a simple twelve-week sequence.

Weeks 1–3 are for reading code and making tiny edits. Weeks 4–6 add a small feature with tests. Weeks 7–9 focus on debugging, logging, and deployment. The final three weeks are for refactoring one project and writing down what the agent got wrong.

Each week should end with something that runs, even if it is small. A working checkpoint gives better feedback than a long list of tutorials. For a Japanese roadmap with practical exercises, see AI Craft Campus.