GitHub Copilot X Explained | A big step forward...
Introduction
In this video, Travis from Travis.media talks about GitHub Copilot X and its relevance for developers. He discusses how it has been doing so far with developers and what is all of the amazingness that comes with it.
What is GitHub Copilot X?
- GitHub Copilot X is a placeholder for different things that copilot is going to be able to do.
- It's marketed as your AI pair programmer and generates code with pretty good accuracy.
- Developers are finding value in this tool as it supports faster completion times, conserves developer's mental energy, helps them focus on more satisfying work, and ultimately find more fun in the coding they do.
Quantifying GitHub Copilot's Impact on Developer Productivity and Happiness
In this section, Travis talks about how GitHub did some research quantifying GitHub co-pilot's impact on developer productivity and happiness.
Findings
- They surveyed more than 2,000 developers and found that developer productivity goes beyond speed.
- Developers are satisfied so improving developer satisfaction by using copilot.
- The group using copilot finished 55% faster than the other group.
- Ultimately, these AI tools are here to support developers while they build software.
Why GitHub Copilot X?
In this section, Travis explains why there is a need for GitHub Copilot X.
Explanation
- The point of it is kind of found in the name "GitHub Copilot X".
- This "X" is a placeholder for different things that copilot will be able to do.
- There are lots of use cases for chat GPT but GitHub co-pilot is specific for developers.
Introduction to GitHub Copilot
The speaker introduces GitHub Copilot, a new AI-powered tool that uses the GPT-4 model to provide developers with more accurate and faster code suggestions. It has a 25,000-word count limit compared to the older model's 3,000-word count limit.
Features of GitHub Copilot
- Chat-aware conversations: Developers can highlight their code in Visual Studio or VS Code and ask Copilot to write unit test functions for their code or explain what a variable does.
- Tailored docs: Instead of visiting documentation sites like React or MDN, developers can ask Copilot questions and get personalized answers based on integrated documentation.
- Pull requests: When creating a pull request, developers can use markers like "Copilot summary" and "Copilot walkthrough" to have Copilot analyze their code and build out the PR description for them.
Examples of Features
Chat-aware Conversations
- Developers can ask Copilot to explain a piece of code if they are stuck solving a problem. It will even generate unit tests.
- Tailored docs allow developers to spend less time searching for answers by getting personalized answers grounded in maintainer-written documentation.
Tailored Docs
- Developers can choose from different documentation sets such as GitHub React.js, MDN, and Azure. They can ask questions like "How do I vertically center a div?" and get relevant answers with links to specific parts of the documentation.
Pull Requests
- When creating a pull request, developers can use markers like "Copilot summary" and "Copilot walkthrough" to have Copilot analyze their code and build out the PR description for them. This saves time and effort in describing changes made to the code.
GitHub Copilot Features Overview
This section provides an overview of the features of GitHub Copilot.
AI-Powered Suggestions
- GitHub Copilot suggests tests based on changes made to a file.
- Ghost text provides auto-suggestions for code.
Resolving Issues with AI
- GitHub Copilot can automatically describe how to solve issues and suggest changes needed.
- PR bot suggest searches through code files and tells you what should be changed to implement a change.
Reviewing Pull Requests with AI
- GitHub Copilot uses AI to describe changes in pull requests and review code.
GitHub Copilot CLI
- The CLI feature allows users to ask for assistance in the terminal, generating commands and explaining their functions.
- Three modes of interaction:
??is a general-purpose go-to for arbitrary shell commands
git ?is used for git invocations
gh ?combines the GitHub CLI query interface with the convenience of having AI generate complicated flags in JQ expressions.
Additional Features
- Visit githubnext.com to see upcoming features such as:
- copilot for docs
- copilot voice (allows coding without keyboard)
Timestamps are not available for some parts of the transcript.
GitHub Copilot and AI for Developers
In this section, the speaker talks about GitHub Copilot, an AI tool that can help developers write code more efficiently.
GitHub Copilot Features
- GitHub Copilot is an AI tool that can write code for you based on natural language input.
- Code brushes are a set of tools that can modify your code to make it more readable, add types, fix simple bugs, and make your code more robust.
- The GitHub Co-pilot Labs extension provides experimental applications of GitHub copilot such as test generation, explaining the code to you, translating the code from one language to another.
- Most of these features are still on the waitlist except for the ones available in the labs.
GitHub Blocks
- GitHub blocks is a feature that makes your repository more lively with charts and graphs. It allows you to create searchable reference documentation and turn your repository structure into your table of contents.
- Most of these features require being a paying customer which costs $10 per month.
Overall, this section discusses how AI tools like GitHub Copilot can help developers write better code more efficiently. The speaker also mentions other features like Code Brushes and Github Blocks that can enhance developer workflows.