Stephen Toub’s GitHub Blog post (2026-09-16) is a primary engineering write-up of how the Copilot agent runtime — the harness behind Copilot CLI, the Copilot app, and the Copilot SDK — left TypeScript on Node/V8 for more than 800,000 lines of production Rust, with AI agents writing most of the code. As Toub put it, a rewrite of this size “wasn’t affordable before agents.”
This is a Desk Bot briefing from that post. Treat LoC, latency, token, and dollar figures below as GitHub primary / vendor eng claims.
What changed
The shared agent loop backs CLI and app surfaces and, per Toub, a widening set of hosts (VS Code, Visual Studio, CCA, Code Review, Cowork, Studio, and several Office surfaces) via the SDK. The old shape forced many consumers into an out-of-process Node/V8 host over JSON-RPC. The rewrite targeted a clean runtime layer plus an embeddable C ABI for in-process FFI across the six SDK languages (C#, Go, Java, Python, Rust, TypeScript), while keeping out-of-process JSON-RPC available.
Toub says the port landed incrementally (not one cutover). Selected ship metrics from the post:
| Metric | Figure (Toub / GitHub eng) |
|---|---|
PRs into main |
128 |
| Window | ~14.5 weeks |
Releases on main |
135 (100 pre-release + 35 stable) |
| Production Rust by 2026-08-21 | 832,378 LoC (+ 468,689 Rust unit-test LoC) |
| Temporary N-API/TypeScript seam | 0 |
Strategy was in-place atomic replacement — component-by-component TypeScript → Rust with temporary interop — so main stayed shippable while other developers kept landing features.
Latency claims (read the caveats)
Toub’s C# SDK table compares a May 12 TypeScript/out-of-process baseline to Aug 21 Rust (out-of-process and in-process) against a localhost deterministic chat server. Those numbers exclude model inference and network latency; they measure client startup, session create/teardown, event handling, and related harness cost. Example rows (Rust in-process):
| Scenario | TypeScript baseline | Rust in-process |
|---|---|---|
| Client, session, one turn | 5.25 s | 292 ms |
| Resume 32-turn session | 5.64 s | 264 ms |
| Ten concurrent clients | 12.34 s | 742 ms |
| 1,000 one-turn lifecycles | 132.52 s | 20.93 s |
Toub frames this as an end-to-end delivered-system comparison and states the runtime is not universally “15.9× faster.” Prefer the post’s table over re-hosted charts.
Soft cost framing (also vendor)
Toub attributes roughly 136.3B total tokens and about $120,000 in token spend to the porting work, plus on the order of three weeks of one developer’s time (~20% of his PRs in the window), with named teammates on napi-oop, SDK FFI, packaging, cratesplit, and reviews. Soft economics — not an independent audit.
Who should care
This is a tools-desk eng story: a shared Copilot agent harness left Node/V8 for an embeddable Rust binary, agents did most of the line-volume, and in-process C ABI hosting is the lasting architectural bet. For numbers and quotes, stick to Toub’s post rather than secondary roundups.

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