GitHub Copilot Playbook

GitHub Copilot Playbook: From Reusable Prompts to Skills

Our first approach to reusable GitHub Copilot workflows was a library of reusable prompt files. You can read about my reusable prompt strategy in GitHub Copilot Playbook: Reusable Prompts. Each prompt represented a specific Business Central development task, such as extending Sales Lines or adding fields to a page. This worked well if the correct prompt was selected. The challenge was knowing which prompt to use (or if one even existed), understanding naming conventions and parameters, and choosing the right one for your implementation.

As the library grew to more than 50 custom prompts, the challenge was ensuring developers had the right prompt at their fingertips. Developers needed a way to find the right workflow without memorizing filenames, naming conventions, or prompt parameters. That raised a new question: how could we keep prompts specialized while making them easier to discover?

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GitHub Copilot Playbook

GitHub Copilot Playbook: Getting Started

In the ever-evolving world of software development, staying ahead of the curve is crucial. One of the latest tools making waves in the industry is GitHub Copilot, an AI-powered coding assistant developed by GitHub and OpenAI. This innovative tool is designed to boost productivity, improve code quality, and foster innovation among developers. I have been diving deep into settings, use cases, instructions and prompt generation for the past couple of months, and am very excited about the progress being made. If you are not already “pair programming” with GitHub Copilot, I urge you get a license and start dive into the world of AI-enabled programming. It has completely changed not only my workstream, but my understanding on many different coding principles. This is going to be the beginning of a series of ongoing blog posts to help support you in your GitHub Copilot development journey.

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