This Cursor AI Hack Is UNBELIEVABLE!

This video explains a method to significantly reduce costs when using Cursor AI for coding, potentially saving hundreds of dollars annually. The core issue lies in how Cursor AI's Pro plan, priced at $20 per month, limits users to 500 requests. Each request includes 25 "tool calls."

Understanding Cursor AI's Request and Tool Call System

• Requests: These are individual messages sent to the AI.
• Tool Calls: These are actions performed by the AI to assist with coding tasks. Examples include:
  • Creating files
  • Listing directories
  • Searching for files
  • Performing web research
  • Fetching code
  • Deleting files
  • Running terminal commands
  • Calling specific tools (e.g., MCP tools)
• Limit: A single request allows for up to 25 tool calls. If this limit is reached, pressing "continue" to allow additional tool calls counts as a new request.
• Cost Implication: Even a simple message like "hi" without any tool calls consumes one request. This means users can quickly exhaust their 500 monthly requests with basic interactions.

The "10x Tool Calls" Workaround

The video introduces a GitHub repository called "10x tool calls," designed to optimize Cursor AI usage. This setup allows users to perform multiple actions within a single request, effectively maximizing the 25 tool calls.

• Mechanism: Instead of each prompt being a separate request, this setup creates an interactive terminal interface. Users can chain multiple prompts and AI actions together.
• Process:
  1. A user sends an initial message (e.g., "hi").
  2. The AI responds, and a prompt appears to run a Python script (userinput.py).
  3. The user can then enter subsequent prompts within this script interface.
  4. The AI processes these prompts, and each interaction that would normally be a new request is now handled within the initial request's 25 tool call limit.
  5. Only after exhausting the 25 tool calls is a new request counted.

Demonstration of the "10x Tool Calls" Setup

The presenter demonstrates the implementation and effectiveness of this workaround:

1. Finding the Repository: The first step is to locate the "10x tool calls" GitHub repository (link provided in the video description).
2. Downloading Files: Download the repository as a zip file.
3. File Placement:
   • Copy userinput.py to the root directory of your project.
   • Create a .cursor folder in your project's root.
   • Inside .cursor, create a rules folder.
   • Copy rules.md into the .cursor/rules folder.
4. Configuration:
   • Update the extension to .mdc (though the presenter later suggests deleting rules.md after setup, implying the configuration might be automatic or handled by the initial placement).
   • In the rule type section, select "always."
5. Testing the Setup:
   • A new chat is initiated.
   • Sending a simple "hi" message, which normally would consume one request, now triggers the option to run the userinput.py script.
   • Example Workflow:
     • User prompts: "Create an HTML snake game."
     • AI generates the game.
     • The userinput.py script is run again.
     • User prompts: "Create a basic HTML to-do app."
     • AI generates the app.
     • The userinput.py script is run again.
     • User prompts: "Help me set up a React project."
     • AI initiates React project setup.
     • The userinput.py script is run again.
     • User prompts: "Turn that into a landing page for my web development agency."
     • AI creates a landing page.
     • The userinput.py script is run again.
     • User prompts: "Create an about page."
     • AI generates an about page.
   • Usage Tracking: Despite performing multiple complex tasks (snake game, to-do app, React project, landing page, about page), the Cursor usage tracker shows only one request consumed (incrementing from 215 to 216). This contrasts with the normal behavior where each of these would have been a separate request, costing 6 requests in total.

Benefits and Use Cases

• Cost Savings: Significantly reduces the number of requests used, leading to substantial savings on the Cursor AI Pro plan.
• Iterative Development: Allows for continuous refinement and iteration on code without incurring extra request costs. For instance, if the AI implements a feature with a bug, the user can provide feedback and request fixes within the same initial request.
• Maximizing Tool Calls: Enables users to fully leverage the 25 tool calls per request for complex tasks.

Conclusion

The "10x tool calls" setup is presented as a powerful and essential tool for anyone using Cursor AI for coding. It transforms the way users interact with the AI, allowing for more extensive and iterative work within a single request, thereby optimizing costs and workflow efficiency.

Key Concepts

• Cursor AI: An AI-powered IDE for coding.
• Pro Plan: A paid subscription tier for Cursor AI with specific usage limits.
• Requests: Individual messages sent to the AI.
• Tool Calls: Actions performed by the AI to assist with coding.
• 10x Tool Calls: A GitHub repository and setup that optimizes Cursor AI usage by consolidating multiple actions into a single request.
• userinput.py: A Python script used in the "10x tool calls" setup to facilitate chained prompts.
• rules.md: A configuration file for the "10x tool calls" setup.
• Agent-based Coding Assistant: AI tools that can perform actions and interact with the development environment.