An Exposure to GitHub Copilot

One sentence to introduce GitHub Copilot:

Created by OpenAI, GitHub Copilot’s generative pretrained language model draws context from comments and code to suggest individual lines and whole functions instantly.

Learning goals:

• Its advantages
• Availabitity for individuals and businesses
• Copilot X
• Its configurations
• Develop GitHub Copilot with VSC

Trends since the launch of GitHub Copilot:

• 46% of new code is now written by AI
• 55% faster overall developer productivity
• 74% of developers feel more focused on satisfying work

What will the GitHub Copilot X bring:

• A ChatGPT-like chat interface for code analysis, test generating, and bug fixing
• Help pull requests
• AI-generated answers about documentation
• Help compose commands, loops, flags in CLI

What will the GitHub Copilot Business bring:

• A more powerful AI model (Maybe like GPT4 to GPT3).
• AI-based security vulnerability filtering: GitHub Copilot automatically blocks common insecure code suggestions by targeting issues such as hardcoded credentials, SQL injections, and path injections.
• VPN proxy support
• Simple sign-up

My exposure to GitHub Copilot:

Firstly, we need to add a configuration file in the repository:

After install the Copilot extension in VSC, we use it during coding, here are some solutions suggested by copilot:

You can press tab to apply the solution.

Sometimes the solution is generating, you can press ctrl+enter to open another text file that contains the solution and will keep freshing till all the solutions are generated. Then you can choose one among them: