CodeGenX VS kube-shell

GitHub link: https://github.com/DeepGenX/CodeGenX

Looks good, I am currently working on a similar open-source project called CodeGenX. Its a fine-tuned version of GPT-J. Can I ask how long this took to train, and what hardware was used?

Hey Everyone!

We are delighted to announce the first version of CodeGenX. CodeGenX is a free and open-source code-generation system (similiar to Github Copilot) powered by a fine-tuned version of GPT-J.

You can find details for installation and instruction on usage here: https://docs.deepgenx.com. Our GitHub repository can be found here: https://github.com/DeepGenX/CodeGenX.

I think it is important to identify what CodeGenX can and cannot do, so we know what to expect. We have found that CodeGenX works well for common use cases which occur repeatedly in the training set. It understands context and outputs code with similar formatting to your previous code using the appropriate variables. But it does not shine in places where logical or mathematical computations are needed. This does not mean that it doesn't understand any logic or math, but just a weak point of the model.

Here are some links that have additional information:

Website: https://deepgenx.com

CodeGenX is an extension that will help you write your code better and faster, it uses a fine-tuned version of GPT-J to generate code that's readable and efficient. You can find more details and a guide on how to use CodeGenX on our website, if you're interested in the source code, you can take a look at the github repo. If you have any questions or feedback, you can contact us via discord or by replying to this post.

You can find details for installation and instruction on usage here: https://docs.deepgenx.com. Our GitHub repository can be found here: https://github.com/DeepGenX/CodeGenX.

Hope you're doing well. We (a group of volunteers) are currently working on an open-source project called CodeGenX. The project is a code generation extension for VS Code (similar to GitHub Copilot) based on a custom fine-tuned version of GPT-J. The problem is that most of us working on the project are Machine Learning Engineers/Data Scientists and do not have much experience in webdev.

Bootkube - bootkube - Launch a self-hosted Kubernetes cluster kubectx + kubens - Switch faster between clusters and namespaces in kubectl kube-shell - Kubernetes shell: An integrated shell for working with the Kubernetes kuttle: kubectl wrapper for sshuttle without SSH - Kubernetes wrapper for sshuttle kubectl sudo - Run kubernetes commands with the security privileges of another user K9s - Kubernetes CLI To Manage Your Clusters In Style! Ktunnel - A cli that exposes your local resources to kubernetes KubeOperator - Run kubectl command in Web Browser. https://kubeoperator.io/ Vimkubectl - Manage any Kubernetes resource from Vim https://www.vim.org/scripts/script.ph KubeHelper - KubeHelper - simplifies many daily Kubernetes cluster tasks through a web interface.

kube-shell integrated shell environment

⏬ Download kube-shell click here