Judge0 API VS open-interpreter

There are services like Judge0 which you can use to execute the code in a sandbox. Just send a code as a string and get a result back. You can either use their cloud offering or deploy the container yourself (it is opensource). https://github.com/judge0/judge0

I'm trying to run a local version of the Judge0 compiler, but I can't seem to access it.

I have a front-end app which exposes a code editor where the user can provide some code and it will be compiled and executed using judge0 (so not on my server). I would like to be able to save the code created by a user, but I'm not sure of the best route to do this. My initial thought was to save the code as a string in a database, passing through my back-end which could potentially have some sanitizing methods to try and minimize any danger with this. However, I'm not sure how practical/feasible it is to try and sanitize code - has anyone attempted to do this previously or have experience in this domain?

You can deploy Judge0 Extra CE on your own servers for free. Here are the release notes that include the deployment procedure.

https://judge0.com/ to run the code, you can can host it on your server for free or use their api.

A signal gets called which gets sent over Django Channels (but you can probably use an mq or something for this) which notifies a microservice that is responsible for sending and receiving submissions to an instance of https://judge0.com/

wget https://github.com/judge0/judge0/releases/download/v1.12.0/judge0-v1.12.0.zip unzip judge0-v1.12.0.zip

I think openinterpreter [1] were one of the first teams in this space along with shroominic code interpreter api and afaik they started with selenium but have expanded to do a lot more os level work but wonder if having a more narrow specialization could help these newer projects be better at the one thing they are focused on.

[1] https://openinterpreter.com/

I taught https://github.com/KillianLucas/open-interpreter how to use https://github.com/ferrislucas/promptr

Then I asked it to add a test suite to a rails side project. It created missing factories, corrected a broken test database configuration, and wrote tests for the classes and controllers that I asked it to.

I didn't have to get involved with mundane details. I did have to intervene here and there, but not much. The tests aren't the best in the world, but IMO they're adding value by at least covering the happy path. They're not as good as an experienced person would write.

I did spend a non-trivial amount of time fiddling with the prompts I used to teach OI about Promptr as well as the prompts I used to get it to successfully create the test suite.

The total cost was around $11 using GPT4 turbo.

I think in this case it was a fun experiment. I think in the future, this type of tooling will be ubiquitous.

My understanding is that ShellGPT aims to be a complete OS assistant. It's similar to Open Interpreter (https://github.com/KillianLucas/open-interpreter).

Shelly is a mini tool at the moment that only generates and executes commands for you.

https://github.com/KillianLucas/open-interpreter Both OpenAI and Local

Yeah there's a program called openinterpreter, It works beautifully. https://openinterpreter.com/