Empower your code-writing with GitHub Copilot, an AI-powered 'pair programmer' designed to streamline your coding process. Utilizing OpenAI Codex, a generative pretrained language model, GitHub Copilot provides real-time code suggestions based on context drawn from comments and existing code. GitHub Copilot supports a wide range of IDEs including Visual Studio Code, Visual Studio, Neovim, and the JetBrains suite.

An especially useful aspect is to explore unfamiliar frameworks and complex configurations with Copilot's suggestions. How often have you built an overly complicated way to achieve something with a new library just to later find out that there is a convenient method that does it in one simple step? And the only reason you didn't know about it, is because it was well hidden somewhere deep in the docs. Copilot can help nudge you to the right path by suggesting common solutions to typical problems. In doing so, it's also envisioned to lower entry barriers for aspiring software developers.

GitHub Copilot's training data comes from a variety of public sources, primarily GitHub repositories. Its proficiency may vary with different languages, and it might struggle with newly released libraries, frameworks, or APIs due to the lack of publicly available code examples.

The tool offers measures to reduce suggestions that match public code, including an optional filter. Additionally, upcoming features will provide references for suggestions that resemble public code on GitHub, empowering users to make more informed decisions.

For protection against copyright infringement based on GitHub Copilot suggestions, GitHub provides specific product terms. Moreover, it's crucial to maintain rigorous testing and code review practices to ensure the generated code's security, as it can occasionally suggest code containing insecure patterns or bugs.