Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
It definitely increases my productivity.
Based on our record, GitHub Copilot should be more popular than GitHub Codespaces. It has been mentiond 302 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To put these points in context, consider how shell agents stack up against AI assistants built into IDEs (such as GitHub Copilot or Replit’s Ghostwriter). IDE agents shine when you want inline code suggestions as you type or tight integration with a particular editor. They offer intuitive GUI support for code completion, debugging panes, and visual diff tools. However, they come with trade‑offs. - Source: dev.to / about 9 hours ago
Enter GitHub Copilot. Originally launched as an AI-powered autocomplete tool, Copilot quickly gained traction among developers. It helped write boilerplate code, offered smart suggestions, and reduced context-switching. But now, it has evolved into something more powerful: the GitHub Copilot Coding Agent. - Source: dev.to / about 19 hours ago
Writing comprehensive unit and integration tests is one of the best ways to ensure code quality – but it’s also labor-intensive. AI can help automate this tedious task. New AI assistants (like GitHub Copilot) can analyze Python functions and automatically generate meaningful test cases. As one developer puts it, “progress in AI has opened doors to automated test generation…presenting developers with an innovative... - Source: dev.to / 2 days ago
Tools like GitHub Copilot, Replit Ghostwriter, and Tabnine don’t just suggest code, they write it. These models are trained on billions of lines of open-source code and can auto-generate:. - Source: dev.to / 8 days ago
Or tools like GitHub Copilot, which autocomplete not just functions but full app logic. These aren’t just helping developers. They’re starting to think like one. - Source: dev.to / 8 days ago
https://github.com/features/codespaces All you need is a well-defined .devcontainer file. Debugging, extensions, collaborative coding, dependant services, OS libraries, as much RAM as you need (as opposed to what you have), specific NodeJS Versions — all with a single click. - Source: Hacker News / 4 months ago
For this week, our task was to automate everything: GitHub workflows for testing, linting, building, and error checking. Additionally, I set up a dev container that contributors can use in GitHub Codespaces for a fast, hassle-free setup. Finally, we were assigned to write tests for a classmate's project! - Source: dev.to / 7 months ago
As an alternative for Cloud9, you can use vscode.dev, which runs VS Code in the browser or other alternatives that are more integrated and personalized like gitpod.io or Github Codespaces. - Source: dev.to / 10 months ago
Check out GitHub Codespaces https://github.com/features/codespaces I have used it for learning C, Rust and Go. It even has a VSCode editor in the browser. It’s pretty easy to setup. Create a repo, add a hello_world.c, push the code, then in the UI press the green code option and select Create code space on main and then use the gcc from the terminal to compile... - Source: Hacker News / 10 months ago
I updated the settings in my router to keep my IP assigned to my computer to avoid needing to update the DNS file. ### Remote Development One option I didn't try is doing all of your development remotely in something like Github Workspaces. From what it looks like, I think this would provide all the functionality needed except, you'd be dependent on internet and be locked into their pricing. I've worked in this... - Source: dev.to / 10 months ago
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