![]() ![]() The output of the AI model then goes through Duplicate detection and the top result is presented as a few lines of code. This comment, which serves as a token to Copilot goes through checks to identify PII (Personally Identifiable Information) and Toxicity (any hate speech or unwanted content) before allowed content is fed into the AI model. In our previous blog on Copilot, we talked about a plethora of uses, here we would take you through a specific journey where the same prompt given to Copilot would generate different output based on the context that is given to Copilot.Ĭopilot can take comments in natural language, the same we are used to writing before our code as a best practice, to give a context about our code. You can use GitHub Copilot as an extension in Azure Data Studio, SQL Server Data Tools (SSDT) and Visual Studio Code. It leverages machine learning models trained on vast amounts of code to generate context-aware code suggestions directly within your integrated development environment (IDE). GitHub Copilot is an AI-powered code completion tool developed by GitHub and powered by OpenAI. This is the first blog of our series where we will explore how GitHub Copilot can assist you in your SQL development tasks, providing intelligent code suggestions and speeding up your learning curve. One tool that can revolutionize your workflow is GitHub Copilot. Congratulations on starting your journey as a database developer in a new organization! As you embark on this exciting chapter of your career, you'll encounter various challenges and opportunities to enhance your SQL development skills. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |