Question

A developer at a fintech company notices that GitHub Copilot returns inline completions very quickly even for large files. Their security team asks how a code suggestion actually travels from the editor to the model and back. Which sequence correctly describes the code-suggestion lifecycle for GitHub Copilot completions?

Accepted Answer

The IDE extension builds a prompt from local context, sends it over an encrypted connection to the Copilot proxy, the model generates candidate completions, the proxy applies post-processing filters, and the extension displays the surviving suggestion.

Answer

The full repository is uploaded to the model, which generates a suggestion, and the entire response is displayed without any intermediate processing.

Answer

The prompt is stored permanently on GitHub servers first, then batch-processed nightly, and the suggestion is delivered to the editor the next day.

Answer

The model runs entirely on the developer's machine, so no data leaves the device and no proxy or filtering step is involved.