## Why `argument-comment-lint` had become a PR bottleneck because the repo-wide lane was still effectively running a `cargo dylint`-style flow across the workspace instead of reusing Bazel's Rust dependency graph. That kept the lint enforced, but it threw away the main benefit of moving this job under Bazel in the first place: metadata reuse and cacheable per-target analysis in the same shape as Clippy. This change moves the repo-wide lint onto a native Bazel Rust aspect so Linux and macOS can lint `codex-rs` without rebuilding the world crate-by-crate through the wrapper path. ## What Changed - add a nightly Rust toolchain with `rustc-dev` for Bazel and a dedicated crate-universe repo for `tools/argument-comment-lint` - add `tools/argument-comment-lint/driver.rs` and `tools/argument-comment-lint/lint_aspect.bzl` so Bazel can run the lint as a custom `rustc_driver` - switch repo-wide `just argument-comment-lint` and the Linux/macOS `rust-ci` lanes to `bazel build --config=argument-comment-lint //codex-rs/...` - keep the Python/DotSlash wrappers as the package-scoped fallback path and as the current Windows CI path - gate the Dylint entrypoint behind a `bazel_native` feature so the Bazel-native library avoids the `dylint_*` packaging stack - update the aspect runtime environment so the driver can locate `rustc_driver` correctly under remote execution - keep the dedicated `tools/argument-comment-lint` package tests and wrapper unit tests in CI so the source and packaged entrypoints remain covered ## Verification - `python3 -m unittest discover -s tools/argument-comment-lint -p 'test_*.py'` - `cargo test` in `tools/argument-comment-lint` - `bazel build //tools/argument-comment-lint:argument-comment-lint-driver --@rules_rust//rust/toolchain/channel=nightly` - `bazel build --config=argument-comment-lint //codex-rs/utils/path-utils:all` - `bazel build --config=argument-comment-lint //codex-rs/rollout:rollout` --- [//]: # (BEGIN SAPLING FOOTER) Stack created with [Sapling](https://sapling-scm.com). Best reviewed with [ReviewStack](https://reviewstack.dev/openai/codex/pull/16106). * #16120 * __->__ #16106
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.
