GitHub Copilot Customization Explained for Beginners: Instructions, Prompt Files, Skills, Agents, and Hooks Introduction If you've recently started using GitHub Copilot, you've probably come across terms like Instructions , Prompt Files , Skills , Agents , and Hooks . At first glance, they all seem to do the same thing—they tell Copilot what to do. So why does GitHub have five different customization features? The answer is simple: each feature solves a different problem. Think of GitHub Copilot as a new developer joining your team. On their first day, you don't just hand them code. You explain your coding standards, give them reusable templates, teach them specialized knowledge, assign them a role, and automate repetitive tasks. That's exactly how GitHub Copilot customization works. In this article, you'll learn what each feature does, when to use it, and how they all work together. By the end, you'll know which feature to start with and which ones can wait un...
Building a CI pipeline for Containerized Asp.NET Core 3.1 using ACR Registry
This is continuation of a series of posts on using Docker and containerization with .Net Core. If you are new to this series its recommend to look at Getting started with Docker and Containers
In this post will show how to setup a pipeline that continuously builds a repository that contains a Docker file. Every time you change your code and commit, the image is pushed to ACR Registry.
Pre requisites
1. Github account
3. Ensure you’re administrator of the Azure DevOps project
5. Azure Project to be created in Azure DevOps
6. Service Principal created in Azure – Creation process can be found here
Get the code from GitHub
https://tinyurl.com/ydtggef6
Configuring Service Principal for Azure DevOps
1. Setup service connection in Azure DevOps. Navigate to Project settings à New Service Connection à Azure Resource manager
Populate Service principal details as shown below for setting Azure Service connection
Create the Pipeline
1. Sign in to your Azure DevOps Organisation and navigate to your project
2. Go to Pipelines and click on New Pipeline
3. Select where is your code from the below screen. In our example its on GitHub. If you’re proficient with YAML choose GitHub YAML where your pipeline can be scripted and for new people to start we will be using classic editor which provides GUI interface.
4. After clicking on Continue it prompts for Built template lets start with empty job template
5. Navigate to Trigger tab and enable “Continuous Integration” for the respective branch which enables CI on it.
6. Navigate back to Tasks for adding Docker task in pipeline.
Note: Docker Task version used here is 1.* With 2.* pushing to Registry can be done with One task which is build and push.
7. Configure Pipeline task
a) Build Task
b) Push Image Task
Save the pipeline, all set to go at this point. Now if we trigger a build or code is pushed to repository, In ACR repository we should be able to see the latest image pushed from Azure DevOps.
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