Cloud Hypervisor is an open source project licensed under the Apache v2 License and the BSD 3 Clause license. Individual files contain details of their licensing and changes to that file are under the same license unless the contribution changes the license of the file. When importing code from a third party project (e.g. Firecracker or crosvm) please respect the license of those projects.
New code should be under the Apache v2 License.
We follow the Rust Style
convention and enforce it through the Continuous Integration (CI) process calling into rustfmt,
clippy, and other well-known code quality tool of the ecosystem for each submitted Pull Request (PR).
# We currently rely on nightly-only formatting features
cargo +nightly fmt --all
cargo check --all-targets --tests
cargo clippy --all-targets --tests
# Please note that this will not execute integration tests.
cargo test --all-targets --tests
# To lint your last three commits
gitlint --commits "HEAD~3..HEAD"Caution: These tests are taking a long time to complete (40+ mins) and need special setup.
bash ./scripts/dev_cli.sh tests --integration -- --test-filter '<optionally filter test by name pattern>'Please consider creating the following hook as .git/hooks/pre-commit in order
to ensure basic correctness of your code. You can extend this further if you
have specific features that you regularly develop against.
#!/bin/sh
cargo +nightly fmt --all -- --check || exit 1
cargo check --locked --all-targets --tests || exit 1
cargo clippy --locked --all-targets --tests -- -D warnings || exit 1You will need to chmod +x .git/hooks/pre-commit to have it run on every
commit you make.
In order to get a clear contribution chain of trust we use the signed-off-by language used by the Linux kernel project.
We use Patch as synonym for Commit.
We require patches to:
- Have a
Signed-off-by: Name <email>footer - Follow the pattern: \
<component>: Change summary More detailed explanation of your changes: Why and how. Wrap it to 72 characters. See http://chris.beams.io/posts/git-commit/ for some more good pieces of advice. Signed-off-by: <contributor@foo.com>
Valid components are listed in TitleStartsWithComponent.py. In short, each
cargo workspace member is a valid component as well as build, ci, docs and
misc.
Example patch:
vm-virtio: Reset underlying device on driver request
If the driver triggers a reset by writing zero into the status register
then reset the underlying device if supported. A device reset also
requires resetting various aspects of the queue.
In order to be able to do a subsequent reactivate it is required to
reclaim certain resources (interrupt and queue EventFDs.) If a device
reset is requested by the driver but the underlying device does not
support it then generate an error as the driver would not be able to
configure it anyway.
Signed-off-by: Rob Bradford <robert.bradford@intel.com>
We value a clean, reviewable commit history. Each commit should represent a self-contained, logical step that guides reviewers clearly from A to B.
Avoid patterns like init A -> init B -> fix A or
init design A -> revert A -> use design B. Commits must be independently
reviewable - don't leave "fix previous commit" or earlier design attempts in
the history.
Intermediate work-in-progress changes are acceptable only if a subsequent
commit in the same series cleans them up (e.g. a temporary #[allow(unused)]
removed in the next commit).
Cloud Hypervisor uses the “fork-and-pull” development model. Follow these steps if
you want to merge your changes to cloud-hypervisor:
- Fork the cloud-hypervisor project into your github organization.
- Within your fork, create a branch for your contribution.
- Create a pull request against the main branch of the Cloud Hypervisor repository.
- Each commit must comply with the Commit Hygiene guidelines above.
- A pull request should address a single component or concern to keep review focused and approvals straightforward.
- Once the pull request is approved it can be integrated.
Please squash any changes done during review already into the corresponding
commits instead of pushing <component>: addressing review for A-style commits.
If you have a problem, please let us know. We recommend using github issues for formally reporting and documenting them.
To quickly and informally bring something up to us, you can also reach out on Slack.
You can either close issues manually by adding the fixing commit SHA1 to the issue
comments or by adding the Fixes keyword to your commit message:
serial: Set terminal in raw mode
In order to have proper output from the serial, we need to setup the
terminal in raw mode. When the VM is shutting down, it is also the
VMM responsibility to set the terminal back into canonical mode if we
don't want to get any weird behavior from the shell.
Fixes #88
Signed-off-by: Sebastien Boeuf <sebastien.boeuf@intel.com>
Then, after the corresponding PR is merged, GitHub will automatically close that issue when parsing the commit message.
We recommend a careful and conservative approach to LLM usage, guided by sound engineering judgment. Please use AI/LLM-assisted tooling thoughtfully and responsibly to ensure efficient use of limited project resources, particularly in code review and long-term maintenance. Our primary goals are to avoid ambiguity in license compliance and to keep contributions clear and easy to review.
Or in other words: please apply common sense and don't blindly accept LLM suggestions.
This policy can be revisited as LLMs evolve and mature.
We generally recommend doing early coarse-grained reviews using state-of-the-art LLMs. This can help identify rough edges, copy & paste errors, and typos early on. This reduces review cycles for human reviewers.
Please do not use GitHub Copilot directly in PRs to keep discussions clean. Instead, ask an LLM of your choice for a review. A convenient way to do this is
- appending
.patchto the GitHub PR URL (e.g.,https://github.com/cloud-hypervisor/cloud-hypervisor/pull/1234.patch) and pasting it into the LLM of your choice, or - using a local agent in your terminal, such as
codexorclaude.
All contributions must be submitted by a human contributor. Automated or bot-driven PRs are not accepted.
You are responsible for every piece of code you submit, and you must understand both the design and the implementation details. LLMs are useful for prototyping and generating boilerplate code. However, large or complex logic must be authored and fully understood by the contributor - LLM output should not be submitted without careful review and comprehension.
Please disclose LLM use in your commit message and PR description if it meaningfully contributed to the submitted code. Again, we recommend careful and conservative use of LLMs, guided by common sense.
Maintainers reserve the right to request additional clarification or decline contributions where LLM usage raises concerns. Ultimately, acceptance of any contribution is at the maintainers' discretion.