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GitHub Blog

37 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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  •  AI is rewriting the developer career ladder. Here’s how to stand out.
  •  GitHub Copilot app for Beginners: How to build custom workflows with canvases
  •  When chat is the wrong UI
  •  AI-powered fuzzing with the GitHub Security Lab Taskflow Agent
  •  Rendering huge pull requests in the GitHub Copilot app
  •  Should you read the code, is RAG dead, and did Skills kill MCP?
  •  Migrating the GitHub Copilot runtime to Rust, using Copilot
  •  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