NPL with Cursor
The AI-first code editor that understands NPL. Write protocols, permissions, and business logic with intelligent autocomplete and conversational AI assistance.
Why Cursor Works Great with NPL
Compiler-Verified Security
Cursor can generate NPL code freely. If it compiles, the permission model is correct. No security vulnerabilities can slip through.
Intelligent Autocomplete
Cursor's AI understands NPL syntax and suggests protocols, permissions, and state machines as you type.
Chat-Based Development
Describe what you want in plain English. Cursor generates the NPL code with the frontend, and the compiler ensures it's secure.
Faster Iteration
NPL's clear, deterministic syntax means AI suggestions are more accurate. Less back-and-forth, more building.
Getting Started
Install npl CLI
Choose your platform:
macOS
brew install NoumenaDigital/tools/npl
Windows (WSL)
curl -s https://documentation.noumenadigital.com/get-npl-cli.sh | bash
Clone the Cursor AI Guide
This repository is the starting point for building NPL applications with Cursor. It includes a set of markdown files that teach the AI how NPL works, a template for describing the business you want to model, and a step-by-step workflow that guides the agent through the entire development process.
git clone https://github.com/NoumenaDigital/noumena-foundry-ai-guide.git
Open in Cursor
Open your project folder in Cursor and start building with AI assistance.
Pro Tips
Invest in your business description.
The business logic template is designed to help you think clearly about what you want to build. The more precisely you fill it in, the better the AI understands your domain, your parties, and your rules. Good input leads to good code.
Use one agent, not many.
Multi-agent setups sound powerful, but coordination overhead slows everything down. A single focused agent with clear instructions consistently outperforms a swarm of loosely connected ones.
Commit frequently.
AI moves fast and Cursor can occasionally surprise you. A disciplined commit history is your safety net. If something goes wrong, you want to be one step back, not ten.
Keep iterations small and focused.
Short, precise instructions produce better results than large, open-ended ones. When tackling a bigger feature, switch to plan mode first. It lets you steer the agent step by step before any code gets written.
Ready to build?
Download Cursor and start writing secure NPL applications with AI assistance.