GitHub Copilot vs Microsoft Visual Studio IntelliCode Comparison FAQs
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GitHub Copilot and Microsoft Visual Studio IntelliCode are AI-powered coding assistants that help developers write code quickly. However, Copilot uses Open AI to generate code, and Visual Studio uses the GPT-C model for advanced code editing. Mostly, Copilot focuses on generating blocks of code, and IntelliCode prioritises eliminating repetitions.
Visual Studio IntelliCode is free for all Visual Studio users. However, users can purchase Visual Studio paid plans starting from $45 per user/mo for professionals to $499.92 per user/mo for enterprise standard. GitHub Copilot also offers a free plan for users. Its paid plans include Pro, Business, and Enterprise at $10/month, $19/month, and $39/month, respectively.
For Microsoft Visual Studio IntelliCode, support is available through documentation, tutorials, and troubleshooting guides. Additionally, you can report a problem by raising an internal request and the Microsoft engineers/Visual Studio support team will reach out to you for personalized assistance. Further, Copilot support is provided by GitHub. You can access help 24/7 at https://support.github.com. It offers a range of resources including FAQs, community forums, and direct support options.
GitHub Copilot provides context-aware code suggestions, supports multiple programming languages, and integrates seamlessly with Visual Studio Code and other editors. If you are a developer looking for an AI pair programmer who can assist you in coding tasks and languages, then choose Copilot. But if you already are adapted to the Visual Studio environment and want IntelliSense that adapts your coding style and project context, go with Visual Studio IntelliCode.
Developers compare both tools because their focus on enhancing developer productivity through AI-powered code suggestions is similar yet different. Copilot integrates with multiple editors, including Visual Studio Code but IntelliCode only works with Visual Studio. Additionally, GitHub Copilot offers extensive code generation capabilities, whereas IntelliCode focuses only on intelligent code completions and suggestions based on the current code context.