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Agentic Coding Tools and AI Assistants

AI-powered coding assistants can influence how we write and interact with code. This guide covers how we might use these tools.
General tips for Using AI Coding Assistants
1. Use branches. This will protect main branch if you go off the rails.
2. Provide an instructions.md and tasks.md. This will help keep agent on track

Below we cover GitHub Copilot (w/VScode), ChatGPT, local models

GitHub Copilot

GitHub Copilot is an AI-powered coding assistant that helps you write code by providing intelligent suggestions and completions.

Getting Started with GitHub Copilot

Prerequisites

You'll need: - A GitHub account with Copilot access (available through GitHub Education) - VS Code or compatible IDE - Active internet connection

Checking Copilot Access

  1. Visit GitHub Copilot to check your subscription status
  2. Students and educators get free access through GitHub Education

Setting Up GitHub Copilot with VS Code

1. Install the GitHub Copilot Extension

  1. Open VS Code
  2. Go to the Extensions view (Ctrl+Shift+X or Cmd+Shift+X)
  3. Search for "GitHub Copilot"
  4. Install the official "GitHub Copilot" extension by GitHub
  5. Optionally install "GitHub Copilot Chat" for conversational AI assistance

2. Sign In and Activate

  1. After installation, you'll see a Copilot icon in the status bar
  2. Click on it and select "Sign in to GitHub"
  3. Follow the authentication flow in your browser
  4. Return to VS Code - Copilot should now be active

3. Verify Installation

Create a new file (e.g., test.py) and start typing a function:

def calculate_gc_content(

Copilot should suggest completions in gray text.

Practical use cases and notes

  • Tab completion.

  • Have it develop, refactor, buid code based on natural language instructions to "Agent".

  • There is a limit to use, so will need to keep an eye on this. Can see on Github website.

    • Aspects that influence this if you "Ask" versus "Agent" and what model you select.

Using GitHub Copilot on the Web

GitHub offers Copilot directly in the web interface, making it accessible even when working remotely on repositories.

1. Accessing Web Copilot

  1. Navigate to any GitHub repository
  2. Press . (period) to open the web-based VS Code editor
  3. Or go to github.dev/owner/repository directly
  4. The Copilot extension should be available if you have access

2. Using Copilot in GitHub's Web Editor

  • Code completions: Start typing and Copilot will suggest completions
  • Chat interface: Use Copilot Chat for questions and explanations
  • Inline suggestions: Accept suggestions with Tab or reject with Esc

3. GitHub.com Code View Features

When viewing code files on GitHub.com:

- Look for the Copilot icon in file views

- Click to get AI-powered explanations of code blocks

- Get suggestions for improvements and alternative approaches

4. Assigning Copilot Issues

Arguably one of the most powerful features is the ability to assign issues to Copilot.
Copilot will create a plan, implement on a new branch, then you (or someone else can review). If you like it, you can merge it in using a pull request.

Copilot in action on the web

Ways to interact with Copilot on GitHub{width=50%}

Using Copilot with UW Klone HPC

Remote Development Setup

  1. SSH with VS Code

    # Install Remote-SSH extension in VS Code
# Connect to Klone through VS Code's Remote SSH
ssh your_netid@klone.hyak.uw.edu

  2. OPTION 2 - more coming soon

Documentation and Tutorials

ChatGPT

Most are familar with ChatGPT chat features (online or standalone). There is also ChatGPT codex that allows you to interact directly with a GitHub repository online or in the terminal

Ollama (local models)

There are certain use cases where having everything on your machine makes sense such as asking simple regex questions. For this installing Ollama is an option.

Image Generation

more coming soon

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