Dimas Maulana

While SSH is commonly associated with Linux and Unix systems, it can also be configured on Windows. This guide focuses on resolving SSH key loading issues specifically for Windows environments.

Understanding the Challenge

Similar to Linux/Unix, the default SSH configuration on Windows might only load keys authorized by administrators, typically stored in a location like %ProgramData%\ssh\administrators_authorized_keys. This restricts user access unless they are explicitly added to the administrator-authorized keys.

Attempting to perform an rsync operation from a Linux or macOS system to a Windows machine directly using the rsync command will fail. This is because Windows does not have a built-in rsync utility.

A typical command like rsync /source/ target-hostname:/mnt/e/target/ will result in an error.

Solution

Leverage the power of the Windows Subsystem for Linux (WSL) to enable rsync functionality on your Windows system.

GitHub mobile app does not allow creating project items, forcing users to access the web version via Safari browser. However, when using the board view on an iPhone running Safari, the “Add Item” input is not visible when scrolling down.

Solution 1: Add to Home Screen

1. Open github.com from your iPhone’s Safari browser.
2. Click the “Share” button on the bottom of the navigation bar.
3. Select “Add to Home Screen.”
4. On the “Add to Home Screen” page, click the “Add” button.
5. Access GitHub from your home screen. You will now be using the PWA version without a navigation bar.

Solution 2: Use Chrome App

Alternatively, you can also use the Google Chrome app on your iPhone, which displays the “Add Item” input correctly when accessing GitHub project boards.

In this tutorial, we’ll guide you through the process of installing and setting up the ollama local AI chat service in VSCode on your Mac. We’ll also explore how to integrate it with the Continue extension for seamless AI-powered coding experiences.

Step 1: Install ollama

To get started, open your terminal and run the following command:

In this tutorial, we will set up a local AI chat client using ollama and Open WebUI. This will allow us to interact with our AI model locally without relying on any cloud services.

Install ollama

First, install ollama using Homebrew:

In this post, we’ll be diving into the installation and usage of ollama, a local chat AI that runs on your Mac.

Installing Ollama

1

brew install ollama

Once installed, you can pull down a pre-trained model (in this case, we’ll be using the “llama3” model):