#Task -> #Spec -> #Plan -> #Code Guthub Copilot just made a big leap beyond a chat interface for code. Now one can start from a task or an issue, get Github Co-pilot to spec out solutions, finalise them, plan the implementation and generate the code. Look forward to test driving it…
Neeraj Gulati’s Post
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Check out this article on ZDNet about GitHub's AI-powered tool, Copilot Workspace, that can change how we build software. With this tool, developers can get help with testing and debugging their code. As someone who has written a few programs, I can definitely see the value in having AI support during the development process. Give it a read and let me know what you think! #GitHub #AI #softwaredevelopment #testing #debugging
GitHub releases an AI-powered tool aiming for a 'radically new way of building software'
zdnet.com
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It's amazing how much GitHub Copilot has become a daily part of the lives of so many developers. It started in the IDE with translating comments to code and autocompleting code. Then we added Chat, allowing developers to converse with GitHub Copilot using natural language. Next, came the power of creating your own Knowledge Base and tuning GitHub Copilot to your Organization's specific code. Now, we're entering into a new phase: the Copilot-native developer environment with GitHub Copilot Workspace. Join the Technical Preview today! #github #githubcopilot #genai #ai #developer #programming #coding https://lnkd.in/gVxjmnPV
GitHub Copilot Workspace: Welcome to the Copilot-native developer environment
https://github.blog
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GitHub Copilot is an AI tool you can use for tasks like testing & debugging your code, generating docs, & so on. And in this guide, Tim shares how it's made him more productive. He walks you through the setup, explains various use cases, & more.
How to Use GitHub Copilot to Become a Happier and More Productive Developer
freecodecamp.org
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GitHub Copilot is an AI tool you can use for tasks like testing & debugging your code, generating docs, etc. And Tim shares how it's made him more productive. In this guide, he walks you through the setup, explains various use cases, and more.
How to Use GitHub Copilot to Become a Happier and More Productive Developer
freecodecamp.org
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🎓 Senior Expert of Artificial Intelligence, Valeo Group | Machine Learning | Deep Learning | Data Science | Computer Vision | NLP | Lecturer | Developer | Researcher | LinkedIn Top Voice
🚨 𝐆𝐢𝐭𝐇𝐮𝐛 𝐂𝐨𝐩𝐢𝐥𝐨𝐭 just got promoted to Captain 😮 ✅ GitHub Copilot Workspace is redefining the developer environment. ✅ Developers can now brainstorm, plan, build, test, and run code in natural language. ♻️𝒌𝒊𝒏𝒅𝒍𝒚 𝒓𝒆𝒑𝒐𝒔𝒕♻️ #ai #genai #code GitHub #Copilot
GitHub Copilot Workspace: Welcome to the Copilot-native developer environment
https://github.blog
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Top 10 GitHub Copilot Features Become a happier and more productive developer #github #githubcopilot #copilot #AI
Top 10 GitHub Copilot Features
itnext.io
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GitHub Copilot is an AI tool you can use for tasks like testing and debugging your code, generating docs, etc. And Tim shares how it's made him more productive. In this guide, he walks you through the setup, explains various use cases, and more.
How to Use GitHub Copilot to Become a Happier and More Productive Developer
freecodecamp.org
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Excited to share some research released this week on GitHub Copilot Chat that gives some great evidence of the impact on code quality. It's not just about going faster (up to 55% faster in fact) - as AI continues to write code for an increasing number of developers, ensuring good code quality is even more important. Check out the below article for more details on how GitHub Copilot is helping developers focus, keeping them in the flow, and empowering them to build better quality code, faster. #GitHub #Copilot
Research: Quantifying GitHub Copilot’s impact on code quality
https://github.blog
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GitHub Copilot is an AI tool you can use for tasks like testing and debugging your code, generating docs, and more. And it's helped Tim become more productive. In this guide, he walks you through the setup, explains various use cases, and more.
How to Use GitHub Copilot to Become a Happier and More Productive Developer
freecodecamp.org
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So, I've been using GitHub Copilot for a while now, and it's been super helpful. But I got curious and decided to see what's going on beyond just using it. After reading a few articles, here's what I found... Some research from GitClear showed some interesting things about how Copilot affects our code quality and maintenance. While it does speed things up, there are some downsides to consider. 🔄 More mistakes in our code: GitClear found that there's a lot more code being changed or fixed soon after it's written(doubled from 2021). This might mean we're making more errors that slip through. 🔍 Less cleaning up: The percentage of "moved code" fell 17% in 2023, indicating developers are doing less code reuse and refactoring existing systems into reusable libraries. This often results in more duplicate, hard-to-maintain code down the road. 📝 More copying and pasting: Instead of making things better, we're just copying and pasting code, which can make things harder to understand later on. Previously, developers might copy a few lines from Stack Overflow, but with Copilot, it's often more. 💡 Well, while Copilot helps us work faster, we need to be careful about the quality of our code. It's important to keep an eye on how things are going and make sure our code stays easy to work with and easy to maintain in the long run. Please check: https://lnkd.in/gmH7KGyr #GitHubCopilot #CodeQuality #Improvement
Coding on Copilot: 2023 Data Suggests Downward Pressure on Code Quality
gitclear.com
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Sr. Cloud Systems Engineer at Monotype
2moWe about 18 months away from some one just saying out loud: "Hey we need infrastructure for a secure application with x,y,z thats scalable to handle 100k requests per hour running in in our AWS us-east-1 environment, it needs to be able to connect to this database and it needs to be accessible when going to this domain. - show me some ideas?" And then MS copilot/github gives you some plans to choose and deploy. You deploy the infra, one other engineer or AI builds an app and thats it. Another thing I'm thinking about is that AI will usher in the first solo unicorn, a start-up by one person, worth 1 billion+. We live in a very interesting time.