Learning Centreby learnwhatyouwant.co.uk
Sign inStart learning
Back to Discover

Technology · Programming

Structure Your Vibe Coding Prompts: A Practical Beginner’s Preview

Learn how to write clear, effective Vibe Coding prompts that get better results while using fewer tokens — perfect for beginners with some experience who want to level up their prompt engineering skills.

210 min5 modulesBeginner friendly
Start this free course

Free to take. This course does not use any Learning Credits.

What you’ll be able to do

By the end of this preview, you’ll be able to structure your own Vibe Coding prompts that are concise, focused, and efficient — helping you get better code faster with less wasted effort.

Course outline

A clear route from first principles to practical confidence

  1. 01

    What Is Vibe Coding? (And Why It Matters)

    • The difference between rigid prompts and vibe-based prompts
    • Why tone, clarity, and context matter in coding prompts
    • Real-world example: A weak prompt vs. a strong vibe prompt
  2. 02

    The 4-Part Prompt Structure (Simple & Effective)

    • Part 1: The Vibe (Set the mood — e.g., 'Clean, modern, fast')
    • Part 2: The Task (Be specific — e.g., 'Create a login form')
    • Part 3: The Constraints (e.g., 'Use only vanilla HTML/CSS, no frameworks')
    • Part 4: The Output Format (e.g., 'Return just the code, no explanations')
  3. 03

    Trimming the Fat: Optimising for Fewer Tokens

    • Common wordy phrases to avoid (e.g., 'I want you to…')
    • How to use implied context to shorten prompts
    • Practice: Rewrite a bloated prompt into a tight, effective version
  4. 04

    Testing & Refining Your Prompts

    • How to test one prompt variation at a time
    • What to look for in the AI’s output (clarity, relevance, format)
    • Simple checklist to review and improve your prompts
  5. 05

    Putting It All Together: Your First Vibe Coding Project

    • Choose a small coding task (e.g., a to-do list app)
    • Build your prompt using the 4-part structure
    • Optimise it for token efficiency
    • Review the output and refine your prompt if needed