GitHub Copilot Playbook

GitHub Copilot Playbook: Chat Modes

GitHub Copilot is more than a fancy auto-complete, as it offers multiple chat modes that empower developers to interact with their code in natural language to streamline development. Whether you need quick answers, automated refactoring, structured planning, or autonomous multi-step execution, Copilot’s chat modes provide tailored solutions for every stage of your development process. This playbook will guide you through each mode, illustrating how to leverage them effectively to boost productivity and maintain coding flow.

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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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🎃Trick or Treat with AI 👻

I recently had the pleasure of sitting down with Mary Myers, MVP and Chief Maximizer at WorldMax to start teaching her some of the basics of AL Development within VS Code. Any time you get to chat with Mary is a treat, especially when you get to share your love of developing for Business Central. Mary knows Business Central business logic, and she’s a sorceress when it comes to Power Platform integrations, but she is not an AL developer. Throughout her day to day work she’s improved her productivity by leveraging AI, so before our meeting she asked ChatGPT for some help. Mary knew enough technical lingo to formulate the following question:

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