The deep research tool performs multi-step research analysis and citation collection directly within the GitHub repository.

Using deep research integration with GitHub, I can analyze pull requests, identify potential improvements, spot bugs, and suggest fixes in minutes.

Performing specific deep research in tools like GitHub can save engineering teams hours of internal research.

Building a tool like GitHub Copilot required significant changes to the editor, which was organizationally challenging.

The GitHub connection respects user permissions, so you may need additional IT assistance to interact with some repositories if they don't appear during setup.

Deep Research has been surprisingly popular for coding tasks, helping users with code searches, documentation, and script writing, which was not initially anticipated as a primary use case. It also excels at synthesizing information and finding specific, hard-to-locate facts on the internet, especially when given detailed descriptions of what users want.

The GitHub Copilot project began as a search for a problem to solve, leading to the simple idea of autocomplete after many failed attempts.

Jules, our asynchronous coding agent, is now in public beta, allowing users to automate complex coding tasks and integrate with GitHub.

At GitHub, we approach problems from first principles, ensuring that we create unique solutions tailored to our specific context.