Question

A developer on a GitHub Copilot Business plan is writing a new function in `payment_service.py`. They have several other files open in tabs, including a utility module they just edited. They notice that suggestions sometimes incorporate patterns from those other open files, not just the current file. When they ask you to explain the ordering of data that Copilot uses to build the prompt for a completion, which statement most accurately describes how the context is assembled and prioritized before it is sent to the model?

Accepted Answer

Copilot assembles a prompt on the client from the code around the cursor plus relevant snippets from neighboring open tabs, prioritizing the most proximate and recently relevant context to fit the model's limited window.

Answer

Copilot indexes the entire repository into a persistent vector database and retrieves the most semantically relevant chunks across all files for every completion request.

Answer

Copilot sends only the exact line the cursor is on, and the model infers everything else from its pre-trained knowledge of common coding patterns.

Answer

Copilot uploads all open files in full to the server, where the model reads every byte before generating a suggestion with no truncation.