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GitHub Blog

28 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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  •  Marketing ops as code: Automating events from planning to follow-up on GitHub
  •  GitHub Copilot app for Beginners: Using the diff, terminal, and browser
  •  Project HydraFusion: Frontier quality via multi-model orchestration
  •  GitHub Copilot app for Beginners: Run several agents at once
  •  Decoding the new AI lingo: Loops, harnesses, squads, hill climbing… oh my!
  •  How we make AI coding more cost efficient without sacrificing task quality
  •  GitHub Copilot app for Beginners: Automate Dependabot pull request triage
  •  How to evaluate LLMs before production
  •  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