## Why
Windows Cargo and Bazel jobs spend significant time in filesystem-heavy
build and cache directories. Route those directories through one CI
build root so Windows can use its Dev Drive and Unix can use a stable
cache root.
## What
- Have `setup-ci` define `CI_BUILD_ROOT`, `CARGO_TARGET_DIR`, Bazel
cache/output paths, and temp paths.
- Require Windows to find or provision a verified Dev Drive instead of
falling back to `C:`.
- Pass the shared Bazel output base to `setup-bazel` so its explicit
`output_base` does not defeat Dev Drive routing.
- Point nextest, release, and V8 source-build paths at the shared
environment contract.
## Benchmark results
One-off cold-cache WPR/ETW traces show the explicit Bazel output-base
routing removes the dominant `C:` traffic:
| sample | `C:\_bazel` | summed `C:` traffic | traced test step |
|---|---:|---:|---:|
| shard 1 before | 62.2 GiB | 85.2 GiB | 16m22s |
| shard 1 updated | 0 | 16.5 GiB | 12m05s |
| shard 3 before | 67.2 GiB | 84.6 GiB | 16m48s |
| shard 3 updated | 0 | 13.5 GiB | 11m08s |
For a cold x64 V8 source build, the retained build-tail sample showed
`D:\cargo-target` at ~1.29 GiB while measured `C:` roots totaled ~0.45
GiB (`C:\Users` ~0.33 GiB, `C:\Program Files` ~0.06 GiB, `C:\Windows`
~0.03 GiB). The full cold build took 2h20m36s.
The Bazel timing improvement is directional because both refreshed
shards failed tests. The V8 trace is a bounded build-tail sample, not
the full build. All final samples had zero lost ETW events; VHDX traffic
was excluded from the optimization ranking.
Runs: [baseline
Bazel](https://github.com/openai/codex/actions/runs/28911908527),
[updated
Bazel](https://github.com/openai/codex/actions/runs/28917133701), [V8
build tail](https://github.com/openai/codex/actions/runs/28933626678).
## Manual validation
- Ran `just fmt`.
- Ran `just test-github-scripts` (35 tests).
- Parsed GitHub Actions YAML with `yq`.
- Ran `git diff --check`.
## Stack
- [#31332](https://github.com/openai/codex/pull/31332) — parameterize
Cargo target paths
- [#31356](https://github.com/openai/codex/pull/31356) — Windows 2025
runner bump
- [#31357](https://github.com/openai/codex/pull/31357) — Dev Drive I/O
routing
## Why
`rust-ci-full` was paying the full Cargo nextest build-and-run cost once
per platform, with Windows ARM64 as the long pole. This change moves the
heavy work into one reusable per-platform flow: build a nextest archive
once, then replay it across four shards so the platform lane spends less
time running tests serially. For Windows ARM64, the archive is
cross-compiled on Windows x64 and replayed on native Windows ARM64
shards so the slow ARM64 machine is used for execution rather than
compilation.
## What changed
- split the `rust-ci-full` nextest matrix into five explicit
per-platform reusable-workflow calls
- add `.github/workflows/rust-ci-full-nextest-platform.yml` to build one
archive, upload timings/helpers, replay four nextest shards, upload
per-shard JUnit, and roll the shard status back up per platform
- add Windows CI helpers for Dev Drive setup and MSVC ARM64 linker
environment export so the Windows ARM64 archive can be produced on
Windows x64
- keep the existing Cargo git CLI fetch hardening inside the reusable
workflow, since caller workflow-level `env` does not flow through
`workflow_call`
- document the archive-backed shard shape in
`.github/workflows/README.md`
- raise the default nextest slow timeout to 30s so the sharded full-CI
path does not treat every >15s test as stuck
## Verification
- validated the archive/shard flow with live GitHub Actions runs on this
PR branch
- Windows ARM64 cross-compile latency on completed runs:
- https://github.com/openai/codex/actions/runs/26118759651: `34m30s`
lane e2e, `17m16s` archive build, `9m55s` shard phase
- https://github.com/openai/codex/actions/runs/26120777976: `30m36s`
lane e2e, `17m21s` archive build, `6m50s` shard phase
- comparable pre-cross-compile sharded Windows ARM64 runs were `55m01s`,
`50m21s`, and `46m42s`, so the completed cross-compile runs improved the
lane by roughly `12m` to `24m` versus the prior range
- latest corrected cross-compile run:
https://github.com/openai/codex/actions/runs/26120777976
- Windows ARM64 archive built successfully on Windows x64
- native Windows ARM64 shards started immediately after the archive
upload
- 3/4 Windows ARM64 shards passed; the failing shard hit the same
existing `code_mode` test failure seen outside this lane
- downloaded failed-shard JUnit XML from the validation runs and
confirmed the remaining red is from known test failures, not
archive/shard wiring
- no local Codex tests run per repo guidance
## Notes
- this PR does not change developers.openai.com documentation
