Training modules

Feature Requests
1

This is a pretty cool idea that i think would benefit many users like me.

We have all heard of “Vibe Coding” at this point. And it truly is great and peaceful.

However there are people like me who also have no clue what they’re doing. I started using cursor and never took advantage of any of the feature such as cursor rules or MCP servers. I personally like exploring setting so i didn’t mind finding out about it and what they did. But i can see people using cursor and not taking advantage of these tools.

What I am suggesting is training modules built into cursor. There will be many different modules but here are some of my personal suggestions.

Proposed Training Modules

  1. Prompting Module
  • Many users struggle not because the AI lacks capability, but because they don’t know how to phrase their requests effectively.
  • This module will teach users how to structure their prompts for maximum clarity and efficiency.
  • It could include interactive examples where users write prompts and see different AI responses based on phrasing.
  • Lessons on refining prompts, debugging AI-generated code, and using contextual memory effectively.
  1. AI Rules & MCP Server Module
  • Many users overlook Cursor’s AI Rules and MCP servers, which allow for more customized and efficient AI responses.
  • This module will demonstrate real-world use cases, such as setting up auto-formatting rules or creating project-specific AI behavior.
  • A guided tutorial where users implement a simple AI rule and test it live.
  1. Code Review & Debugging Module
  • AI-powered debugging is one of Cursor’s strengths, but users may not know how to get the most out of it.
  • This module will cover:
    • Using AI to detect and explain errors.
    • Debugging workflow best practices.
    • Running AI-generated test cases to catch edge cases.
  1. Version Control & Collaboration Module
  • Many developers rely on Git but may not know how to integrate it effectively with Cursor.
  • This module will walk users through:
    • Setting up Git within Cursor.
    • Using AI for commit message generation.
    • Resolving merge conflicts with AI assistance.
  1. Refactoring & Optimization Module
  • This module will teach users how to improve code quality with AI.
  • Key lessons:
    • Identifying inefficient code and refactoring it.
    • Writing cleaner, more readable functions.
    • Using AI to follow best practices for different languages.
  1. Custom Workflows & Productivity Boosters Module
  • Covers advanced tips for power users, such as:
    • Automating repetitive tasks with AI scripts.
    • Setting up workspace-specific AI configurations.
    • Leveraging integrations with tools like Docker, Jupyter, or API testing frameworks.

These are just some examples but in my very honest opinion, I think these would be a game changer for a lot of people.