GitLab Copilot: What You Need to Know GitLab Copilot is a new feature that aims to help developers write better code faster and easier. It is powered by OpenAI Codex, a deep learning system that can generate natural language and code from a few words or a comment. GitLab Copilot can suggest code snippets, refactor existing code, write tests, and even generate documentation. But how does GitLab Copilot work, and what are its pros and cons? In this blog post, I will give you a brief overview of GitLab Copilot, its benefits and drawbacks, and some tips on how to use it effectively. How GitLab Copilot Works GitLab Copilot is integrated with GitLab's web IDE, which means you can access it from any browser without installing anything. To use GitLab Copilot, you simply type a comment or a few words describing what you want to do, and press Ctrl+Enter. GitLab Copilot will then generate one or more code suggestions that you can accept, reject, or edit. GitLab Copilot uses OpenAI Codex as it
In this blog post, I will show you how to add an image (certificate) inside an Excel sheet using OpenXML package in C# DotNet Framework. This is a useful technique when you need to insert some graphical elements into your spreadsheet, such as logos, charts, or certificates. The basic steps are: Create a spreadsheet document or open an existing one. Add a worksheet part to the document or get an existing one by name. Add a drawings part to the worksheet part and create a worksheet drawing object. Add an image part to the drawings part and load the image (certificate) from a file or a stream. Add a non-visual drawing properties object to the worksheet drawing object and set its attributes, such as id, name, and description. Add a picture object to the worksheet drawing object and set its attributes, such as id, name, and description. Add a shape properties object to the picture object and set its transform properties, such as offset and extent. Add a picture fill object to the shape prop