About This Course
Every developer is being told to "use AI" — almost none are shown how to actually build a reliable workflow around it. This course closes that gap: picking the right agent and model for the task, giving your AI real context, running a repeatable build process, and shipping code you'd actually stand behind.
In this course, you'll:
Choose the right AI coding agent (IDE-native, terminal-native, or autonomous) and model tier for any given task — and build a deliberate personal stack instead of a pile of subscriptions
Set up a modern, AI-ready terminal built to handle long-running agent sessions
Give your AI agents lasting context — instruction files, project memory, and knowledge that persists across sessions
Run a repeatable Plan → Execute → Test → Review workflow instead of one-shot prompting
Ship production-ready code without the "AI slop" — reviewing, testing, and owning everything your agent writes
Built for: working developers, CS students, and freelancers who already know how to code and want a real, professional workflow for building with AI — not another "learn to code" beginner course.
