Agent Skills can have a significant impact on your workflow when using AI agents, as they are well suited for reusable tasks. In this blog post, you will learn what Agent Skills are, how to create them, and how to use them in GitHub Copilot. I will also share four Agent Skills that I use … Continue reading Agent Skills for Azure Bicep with GitHub Copilot: From Manual Work to Automated Workflows
Tag: infrastructure-as-code
Experiment, Prototype, and Validate Azure Bicep with the Bicep Console
The Bicep console is a feature that helps with prototyping, experimenting, and validating Azure Bicep code snippets. Additionally, you can leverage the Bicep console to validate user-defined functions that are generated with GitHub Copilot to check if the output is as expected. In this blog, you will learn what the Bicep console is, explore a … Continue reading Experiment, Prototype, and Validate Azure Bicep with the Bicep Console
Create your own custom extension for Azure Bicep
A long-lived dream of many Azure Bicep users has been the ability to deploy outside the Azure environment, similar to what you can do with Terraform. With the experimental Bicep local-deploy feature that dream is becoming a reality! A tool that allows you to connect Azure Bicep to any system you want. In this blog, … Continue reading Create your own custom extension for Azure Bicep
From Prompt to Bicep: GitHub Copilot for Azure in Action
Over two years ago, I wrote about GitHub Copilot for the first time. Back then, it was powered by OpenAI Codex models, not the models we know today. GitHub Copilot has come a long way since then, where we now have frontier models such as GPT-4.1 and Sonnet 4, agent mode, extensions, and GitHub Copilot … Continue reading From Prompt to Bicep: GitHub Copilot for Azure in Action
Control your Azure Bicep deployment flow with the fail function
Have you ever come across a scenario where you want to enforce a parameter to have a certain value because another parameter has value X? This means youβre dealing with a conditional parameter and need to validate the input before continuing the deployment. In Azure Bicep, itβs now possible to create conditional parameters and let … Continue reading Control your Azure Bicep deployment flow with the fail function




