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kubectl-ai

by davidelavezzo114

DevOps/KubernetesKuberneteskubectlAutomationAssistant

kubectl-ai is an intelligent assistant designed to enhance your Kubernetes experience. It leverages artificial intelligence to streamline your Kubernetes management tasks.

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kubectl-ai: Your AI-Powered Kubernetes Assistant 🤖

GitHub Release

GitHub Release

GitHub Issues

GitHub Issues

GitHub Stars

GitHub Stars

Welcome to kubectl-ai, an intelligent assistant designed to enhance your Kubernetes experience. This tool leverages artificial intelligence to streamline your Kubernetes management tasks. Whether you're a beginner or an expert, kubectl-ai aims to make your life easier.

Table of Contents

Features

  • AI-Powered Suggestions: Get real-time suggestions based on your current Kubernetes context.
  • Command Autocompletion: Save time with intelligent command autocompletion.
  • Error Handling: Receive helpful error messages and suggestions for resolution.
  • Resource Management: Easily manage Kubernetes resources with simple commands.
  • Customizable Settings: Tailor the assistant to fit your workflow.

Installation

To install kubectl-ai, follow these steps:

  1. Download the latest release from here.
  2. Execute the downloaded file to set up the assistant.

Make sure you have the necessary permissions to run the file.

Usage

Once installed, you can start using kubectl-ai. Open your terminal and type kubectl-ai to launch the assistant. You can use it to manage your Kubernetes resources more effectively.

Basic Commands

  • Get Pods: Type kubectl-ai get pods to list all pods in your current namespace.
  • Create Deployment: Use kubectl-ai create deployment <name> to create a new deployment.
  • Delete Resource: Run kubectl-ai delete <resource> <name> to remove a specific resource.

AI Features

The AI features will kick in based on your commands. For example, if you enter an incomplete command, kubectl-ai will suggest the most likely completion. This can significantly speed up your workflow.

Contributing

We welcome contributions! If you have ideas for improvements or new features, please open an issue or submit a pull request. Make sure to follow our coding standards and guidelines.

  1. Fork the repository.
  2. Create a new branch for your feature.
  3. Make your changes and commit them.
  4. Push to your branch and create a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Support

If you encounter issues or have questions, please check the Releases section for updates. You can also open an issue on GitHub for any bugs or feature requests.

Thank you for using kubectl-ai! We hope it enhances your Kubernetes experience.