Ai Coding Tools

How to Integrate GitHub Copilot for Streamlined Pair Programming in 14 Days

By BTW Team4 min read

How to Integrate GitHub Copilot for Streamlined Pair Programming in 14 Days

Integrating AI into your coding workflow can feel daunting, especially when it comes to pair programming. You might be wondering, "How do I make it work with GitHub Copilot?" Well, after experimenting with it over the past few months, I can assure you that it’s not just hype. In fact, we’ve found that Copilot can significantly enhance the pair programming experience if set up correctly. Here’s how to do it in just 14 days.

Prerequisites: What You Need to Get Started

Before diving in, ensure you have the following:

  • GitHub Account: You’ll need a GitHub account with access to repositories.
  • IDE Support: Make sure you’re using Visual Studio Code (VS Code), JetBrains IDEs, or another supported IDE.
  • GitHub Copilot Subscription: Pricing starts at $10/month for individuals or $19/month for teams.

Day 1-3: Install GitHub Copilot

  1. Sign Up: Go to the GitHub Copilot page and sign up for the plan that suits you.
  2. Install the Extension: For VS Code, go to the Extensions Marketplace, search for "GitHub Copilot," and install it.
  3. Configure Settings: After installation, navigate to the settings and enable Copilot. You can also customize suggestions based on your coding style.

Expected Output

You should see Copilot suggestions appearing as you type code.

Day 4-6: Set Up a Pair Programming Environment

  1. Choose a Collaboration Tool: We recommend using tools like Visual Studio Live Share or Tuple for real-time collaboration.
  2. Create a Shared Repository: Set up a new GitHub repository where both you and your pair can contribute.
  3. Establish Coding Guidelines: Discuss and outline coding standards to ensure consistency.

Expected Output

You should have a collaborative environment where both parties can see and interact with the code in real-time, with Copilot suggesting improvements.

Day 7-10: Practice Pair Programming with Copilot

  1. Start a Session: Begin coding together and take turns driving (writing code) and navigating (reviewing code).
  2. Utilize Copilot's Suggestions: Encourage your pair to accept or reject Copilot's suggestions, discussing why certain suggestions work or don’t.
  3. Record Learnings: Take notes on what suggestions were helpful and which ones missed the mark.

Expected Output

You’ll develop a rhythm in your pair programming sessions, leveraging Copilot to enhance your coding process.

Day 11-12: Review and Optimize Workflow

  1. Feedback Session: After a few coding sessions, have a discussion about what worked and what didn’t with Copilot.
  2. Adjust Settings: Tweak Copilot’s settings based on your feedback to get better suggestions tailored to your coding style.

Expected Output

You should have a streamlined workflow that feels natural and efficient.

Day 13-14: Evaluate Performance and Metrics

  1. Set KPIs: Decide on metrics such as lines of code written, bugs identified, or time spent coding.
  2. Analyze Results: After using Copilot for two weeks, review your productivity and any qualitative feedback from your pair programming partner.

Expected Output

You’ll have concrete data to assess whether Copilot has improved your pair programming experience.

Troubleshooting: What Could Go Wrong

  • Limited Suggestions: Sometimes, Copilot may not provide relevant suggestions. In these cases, try rephrasing your code comments or adding context.
  • Over-reliance on AI: Be cautious not to rely solely on Copilot. It’s a tool, not a replacement for your coding skills.

What’s Next: Take It Further

Once you’ve integrated Copilot into your pair programming routine, consider exploring additional AI tools like Tabnine or Kite for even more coding assistance.

Tool Comparison

| Tool | Pricing | Best For | Limitations | Our Take | |--------------------|---------------------------------|------------------------------|----------------------------------|---------------------------------| | GitHub Copilot | $10/mo (individual) | General coding assistance | Limited languages supported | We use this for daily coding | | Tabnine | Free tier + $12/mo Pro | AI-driven code completions | Less context-aware than Copilot | We don’t use this because Copilot is better for our needs | | Kite | Free | Python code suggestions | Limited to Python | Skip if you’re not a Python dev | | Sourcery | Free tier + $12/mo Pro | Python code refactoring | Specific to Python | We don’t use this because we prefer Copilot | | Codeium | Free | Multi-language support | Still in beta, can be buggy | Worth trying if you're curious |

Conclusion: Start Here

If you want to enhance your pair programming experience with GitHub Copilot, follow this 14-day plan. Start by setting up the tool, create a conducive environment for coding together, and make adjustments based on your experiences. The combination of AI and human collaboration can lead to more efficient coding sessions and better product outcomes.

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