GitHub has migrated the Copilot runtime to Rust — and, according to its own write-up on the GitHub blog, used Copilot itself to help perform the migration. Two things are happening at once: a performance-motivated rewrite of an agent runtime, and a public demonstration of an agent doing a large, multi-file engineering job.

Key facts

Fact Detail
Question answered GitHub Migrated the Copilot Runtime to Rust, Using Copilot
Short answer GitHub moved the Copilot runtime to Rust and used Copilot itself to carry out the migration.
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Last updated 2026-09-17

What the post describes

  • A runtime migration to Rust for Copilot, the layer that sits between the model and the editor.
  • Copilot as the tool for the migration, which is the more interesting half: the same assistant is used to modernise the code that serves it.
  • The framing is engineering, not product: the point is how the work was done, not a new feature for users.

Why runtime language choices matter for agent clients

Agent runtimes are latency- and memory-sensitive. They start often, hold state, and sit in the path of every request, so a rewrite in a systems language is usually about startup time, memory ceiling, and predictable behaviour under load rather than raw throughput.

That matters for cloud tools with millions of sessions, and it matters at smaller scale for anyone running an agent locally, where the same runtime has to share a laptop with everything else you are doing.

What this means if you run an agent on your PC

Migrations like this are the clearest example of work agents are being aimed at: long, mechanical, multi-file, verifiable by tests. It is also exactly the kind of change that is dangerous to accept unreviewed.

Whether the agent runs in GitHub’s cloud or on your own machine, the control point is the same — review before applying, and a record afterwards. MOOGH keeps that step on your side of the line: plan, approve, then execute locally. If you want to see the workflow, download MOOGH for Windows.

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