## Why We want more of the pre-merge Rust signal to come from `bazel.yml`, especially on Windows. The Bazel test workflow already exercises `x86_64-pc-windows-gnullvm`, but the Bazel clippy job still only ran on Linux x64 and macOS arm64. That left a gap where Windows-only Bazel lint breakages could slip through until the Cargo-based workflow ran. This change keeps the fix narrow. Rather than expanding the Bazel clippy target set or changing the shared setup logic, it extends the existing clippy matrix to the same Windows GNU toolchain that the Bazel test job already uses. ## What Changed - add `windows-latest` / `x86_64-pc-windows-gnullvm` to the `clippy` job matrix in `.github/workflows/bazel.yml` - update the nearby workflow comment to explain that the goal is to get Bazel-native Windows lint coverage on the same toolchain as the Bazel test lane - leave the Bazel clippy scope unchanged at `//codex-rs/... -//codex-rs/v8-poc:all` ## Verification - parsed `.github/workflows/bazel.yml` successfully with Ruby `YAML.load_file`
npm i -g @openai/codex
or brew install --cask codex
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
Quickstart
Installing and running Codex CLI
Install globally with your preferred package manager:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
Then simply run codex to get started.
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Team, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.
