Course catalog
Drive the AI that lives inside your editor.
Most AI coding happens where you already work: inside the editor. This course teaches that surface concretely — Cursor's Tab, inline edit, @-mentions, and codebase index; agent mode that edits many files at once; the per-hunk review discipline that keeps you honest; and the config files that steer it all, from .cursor/rules to .cursorignore to an MCP server entry. You'll also learn the field around Cursor: GitHub Copilot, Windsurf, Zed, Aider, Cline, and what actually differs between them. It ends where it matters — deciding, task by task, whether an editor agent or a terminal agent is the right tool, and how to run both on one repo without them tripping over each other.
Section 1
The four moves that make an AI editor different from a text editor: predictive Tab, inline edit, @-mentions, and the codebase index.
Section 2
Turning one request into a change across several files, reviewing and repairing what comes back, getting a real interface out of it, and handing work to agents that run in the cloud or in parallel checkouts.
Eligible first-time members can get 7 free days · Cancel anytime
Get startedSection 3
The literal files that steer an editor agent: rules scoped to globs, one shared instruction file, an MCP server entry, and the ignore list that decides what it can see at all.
Section 4
Choose by execution surface, not a stale leaderboard: editor, terminal, desktop workspace, cloud branch, or PR reviewer. Learn where each surface wins and how to combine them without sharing a writable checkout.