Unstructured data holds valuable information about codebases, organizational best practices, and customer feedback. Here are some ways you can leverage it with RAG, or retrieval-augmented generation.
Pushing code to GitHub is one of the most fundamental interactions that developers have with GitHub every day. Read how we have significantly improved the ability of our monolith to correctly and fully process pushes from our users.
Here’s how retrieval-augmented generation, or RAG, uses a variety of data sources to keep AI models fresh with up-to-date information and organizational knowledge.
GitHub Copilot is a powerful AI assistant. Learn practical strategies to get the most out of GitHub Copilot to generate the most relevant and useful code suggestions in your editor.
While AI revolutionizes software development, it still relies on developers to pilot its use. In this blog, we’ll cover the skills that developers need to have for navigating this new AI-powered coding frontier.
Discover how keeping repository maintainer information accurate through CODEOWNERS files and automating maintenance with tools like cleanowners fosters efficient collaboration and sustainable software projects.
