neuro-lingo

A language where you only implement comments and types, and let LLMs deal with the rest. LLMs don't always provide workable examples, so your comments need to really match what you're trying to implement. I wrote about this on Derw's blog.

Filenames

Neuro files end with .neuro

Hello world

function main() {
  // Print "Hello World" to the console
}

when run produces

Hello World

Adding two numbers

function add(a: number, b: number): number {
  // Add two numbers together
}

function main() {
  // Print "Hello World" to the console
  // Print the result of add(2, 3)
}

when run produces

Hello World
5

Types

type Person = {
  name: string;
};

Acknowledging a user

type Person = {
  name: string;
};

function greeting(user: Person): string {
  // return and say hi to the user
}

function main() {
  // greet a user with the name "Noah"
}

when run produces

Hi Noah, nice to meet you!

Pinning a function

In order to use a previous implementation from the LLM, you can use the pinned keyword which will attempt to look up the previous implementation of that function. For consistent results I recommend git-adding the build files along with pinned.

pinned function main() {
    // greet a user with the name "Noah"
}

Installing

Clone the repo and run ts-node src/cli.ts.

Create an .env file with your OPENAI_API_KEY. You can also set OPENAI_GPT_MODEL to use an alternative model. The default is gpt-3.5-turbo.

Using the CLI

  --file string:                The filename to compile
  --quiet :             Avoid writing non-esstential output to terminal
  -h, --help :          This help text
  --run :               Run the file after generating it

Notes

You can modify the prompts in src/generate.ts to your liking - if you find a better one, please open a pull request.

neuro-lingo is absolutely not recommened for use in productiong. It is a thought exercise which just so happens to have a functioning compiler.