This AI-powered tool has been changing the game when it comes to code generation and we’re going to take a closer look into why.
First things first: what exactly is GitHub Copilot? It’s a feature that allows you to write code faster by suggesting lines of code based on your previous work, as well as other popular coding patterns. But let’s not get too technical here this tool is basically like having a personal assistant who can help you with your coding tasks without ever leaving your side (or screen).
Now, some of you may be skeptical about using an AI-powered tool for code generation. After all, isn’t programming supposed to require human intelligence and creativity? Well, we say: why not let the machines do what they do best while we focus on the more creative aspects of coding? Plus, with GitHub Copilot, you can always review and modify any suggestions before implementing them into your code.
But don’t just take our word for it here are some real-life examples of how GitHub Copilot has helped developers save time and improve their work:
1) “When I want to do something and I cant remember how to do it, I type the first few letters of it, and then I wait to see if Copilot can guess what I’m doing.” John Rosenkilde, principal researcher for GitHub Next.
2) “Using GitHub Copilot for code completion has really helped speed up my learning experience,” says Berryman. “I will often accept the suggestion because its something I wouldnt have written on my own since I don’t know the syntax.” John Berryman, senior researcher of ML on the GitHub Copilot team.
3) “With GitHub Copilot Chat, I don’t have to restate the problem because the code never leaves my trusted environment,” says Rosenkilde. “And I get an answer immediately. If there is a misunderstanding or follow-up questions, they are easy to communicate with.” John Rosenkilde, principal researcher for GitHub Next.
So, what’s the catch? Well, as with any AI-powered tool, there are some considerations you should keep in mind before implementing it into your workflow: compliance and security. Make sure that the tool complies with relevant regulations in your industry and has attestations demonstrating its compliance with those same rules.
How GitHub Copilot is Changing Code Generation
in AI