With your tools set up, the next skill is the one that matters most in vibe coding: telling the AI what to build. The quality of the code you get back depends heavily on the quality of the prompt you send, and good prompting is a learnable habit rather than a talent.
This module covers writing clear, specific prompts that say what you want, who it is for, and what it should do. It then looks at giving the AI examples and constraints so it stays inside the boundaries of your project, and at asking for one change at a time so every step is easy to test. It closes with how to recover when the AI goes off track: adding context, rewording, and starting fresh when you need to.
Watch the lessons in order, then continue on to Planning, Specs & Context.
A hands-on workshop on building a strong prompt step by step: setting the role, adding context, giving instructions and examples, and refining the result.
The key parts of a good prompt and how to combine them, explained for people who are new to prompting.
Practical techniques for getting more reliable output from a language model, including being specific and iterating on your wording.
How prompting changes when an AI works through multi-step tasks on its own, and how to guide it with clear goals and guardrails.
Prompting habits used by engineers who work with an AI coding agent every day, and how to apply them to your own projects.