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GitHub Blog

22 articles total

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GitHub engineers and industry thought leaders offer tips, best practices, and practical explainers about various aspects of AI and ML, ranging from fundamental concepts to advanced techniques and real-world applications. For more detailed documentation and practical guides on GitHub’s own AI coding tool, GitHub Copilot, check out GitHub’s official documentation.

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  •  GitHub Copilot app for Beginners: Managing your work
  •  How canvases make agentic workflows visible, steerable, and cost-efficient
  •  How to bring your software delivery workflow into GitHub with agent apps
  •  Write your first prompt with the GitHub Copilot app
  •  Using the GitHub Copilot SDK for Java
  •  A guide to slash commands in the GitHub Copilot app
  •  How the GitHub legal team used Copilot CLI to streamline their workflows
  •  Stacked sessions and pull requests in the GitHub Copilot app
  •  The harness is all you need (mostly)
  •  GitHub Copilot app for Beginners: Getting started
  •  Copilot vs. raw API access: What are you actually paying for?
  •  How to build interactive experiences with canvases
  •  Better tools made Copilot code review worse. Here’s how we actually improved it.
  •  Automating cross-repo documentation with GitHub Agentic Workflows
  •  How GitHub Copilot enables zero DNS configuration for GitHub Pages
  •  Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks
  •  I automated my job (and it made me a better leader)
  •  How we built an internal data analytics agent
  •  Getting more from each token: How Copilot improves context handling and model routing
  •  What are git worktrees, and why should I use them?